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Chan RWY, Chan MCW, Agnihothram S, Chan LLY, Kuok DIT, Fong JHM, Guan Y, Poon LLM, Baric RS, Nicholls JM, Peiris JSM. Erratum for Chan et al., "Tropism of and Innate Immune Responses to the Novel Human Betacoronavirus Lineage C Virus in Human Ex Vivo Respiratory Organ Cultures". J Virol 2024; 98:e0037924. [PMID: 38497665 PMCID: PMC11019942 DOI: 10.1128/jvi.00379-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2024] Open
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Wang B, Li X, Yang Z, Guan Y, Li J, Wang S. Unsupervised Sentence Representation Learning with Frequency-induced Adversarial tuning and Incomplete sentence filtering. Neural Netw 2024; 175:106315. [PMID: 38626618 DOI: 10.1016/j.neunet.2024.106315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 03/02/2024] [Accepted: 04/09/2024] [Indexed: 04/18/2024]
Abstract
Pre-trained Language Model (PLM) is nowadays the mainstay of Unsupervised Sentence Representation Learning (USRL). However, PLMs are sensitive to the frequency information of words from their pre-training corpora, resulting in anisotropic embedding space, where the embeddings of high-frequency words are clustered but those of low-frequency words disperse sparsely. This anisotropic phenomenon results in two problems of similarity bias and information bias, lowering the quality of sentence embeddings. To solve the problems, we fine-tune PLMs by leveraging the frequency information of words and propose a novel USRL framework, namely Sentence Representation Learning with Frequency-induced Adversarial tuning and Incomplete sentence filtering (Slt-fai). We calculate the word frequencies over the pre-training corpora of PLMs and assign words thresholding frequency labels. With them, (1) we incorporate a similarity discriminator used to distinguish the embeddings of high-frequency and low-frequency words, and adversarially tune the PLM with it, enabling to achieve uniformly frequency-invariant embedding space; and (2) we propose a novel incomplete sentence detection task, where we incorporate an information discriminator to distinguish the embeddings of original sentences and incomplete sentences by randomly masking several low-frequency words, enabling to emphasize the more informative low-frequency words. Our Slt-fai is a flexible and plug-and-play framework, and it can be integrated with existing USRL techniques. We evaluate Slt-fai with various backbones on benchmark datasets. Empirical results indicate that Slt-fai can be superior to the existing USRL baselines.
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Affiliation(s)
- Bing Wang
- College of Computer Science and Technology, Jilin University, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China
| | - Ximing Li
- College of Computer Science and Technology, Jilin University, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China.
| | - Zhiyao Yang
- College of Computer Science and Technology, Jilin University, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China
| | | | - Jiayin Li
- College of Computer Science and Technology, Jilin University, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China
| | - Shengsheng Wang
- College of Computer Science and Technology, Jilin University, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China.
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Zheng Y, Shao M, Zheng Y, Sun W, Qin S, Sun Z, Zhu L, Guan Y, Wang Q, Wang Y, Li L. PPARs in atherosclerosis: The spatial and temporal features from mechanism to druggable targets. J Adv Res 2024:S2090-1232(24)00120-6. [PMID: 38555000 DOI: 10.1016/j.jare.2024.03.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 03/22/2024] [Accepted: 03/25/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND Atherosclerosis is a chronic and complex disease caused by lipid disorder, inflammation, and other factors. It is closely related to cardiovascular diseases, the chief cause of death globally. Peroxisome proliferator-activated receptors (PPARs) are valuable anti-atherosclerosis targets that showcase multiple roles at different pathological stages of atherosclerosis and for cell types at different tissue sites. AIM OF REVIEW Considering the spatial and temporal characteristics of the pathological evolution of atherosclerosis, the roles and pharmacological and clinical studies of PPARs were summarized systematically and updated under different pathological stages and in different vascular cells of atherosclerosis. Moreover, selective PPAR modulators and PPAR-pan agonists can exert their synergistic effects meanwhile reducing the side effects, thereby providing novel insight into future drug development for precise spatial-temporal therapeutic strategy of anti-atherosclerosis targeting PPARs. KEY SCIENTIFIC Concepts of Review: Based on the spatial and temporal characteristics of atherosclerosis, we have proposed the importance of stage- and cell type-dependent precision therapy. Initially, PPARs improve endothelial cells' dysfunction by inhibiting inflammation and oxidative stress and then regulate macrophages' lipid metabolism and polarization to improve fatty streak. Finally, PPARs reduce fibrous cap formation by suppressing the proliferation and migration of vascular smooth muscle cells (VSMCs). Therefore, research on the cell type-specific mechanisms of PPARs can provide the foundation for space-time drug treatment. Moreover, pharmacological studies have demonstrated that several drugs or compounds can exert their effects by the activation of PPARs. Selective PPAR modulators (that specifically activate gene subsets of PPARs) can exert tissue and cell-specific effects. Furthermore, the dual- or pan-PPAR agonist could perform a better role in balancing efficacy and side effects. Therefore, research on cells/tissue-specific activation of PPARs and PPAR-pan agonists can provide the basis for precision therapy and drug development of PPARs.
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Affiliation(s)
- Yi Zheng
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Mingyan Shao
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Yanfei Zheng
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Wenlong Sun
- Institute of Biomedical Research, School of Life Sciences and Medicine, Shandong University of Technology, Zibo 255000, China
| | - Si Qin
- Lab of Food Function and Nutrigenomics, College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Ziwei Sun
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Linghui Zhu
- Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Yuanyuan Guan
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Qi Wang
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
| | - Yong Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China; First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming 650500, China.
| | - Lingru Li
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
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Gao H, Li D, Hu H, Zhou F, Yu Y, Wei Q, Liu Q, Liu M, Hu P, Chen E, Song P, Su X, Guan Y, Qiao M, Ru Z, Li C. Regulation of carbohydrate metabolism during anther development in a thermo-sensitive genic male-sterile wheat line. Plant Cell Environ 2024. [PMID: 38517937 DOI: 10.1111/pce.14888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 03/03/2024] [Accepted: 03/05/2024] [Indexed: 03/24/2024]
Abstract
Bainong sterility (BNS) is a thermo-sensitive genic male sterile wheat line, characterised by anther fertility transformation in response to low temperature (LT) stress during meiosis, the failure of vacuole decomposition and the absence of starch accumulation in sterile bicellular pollen. Our study demonstrates that the late microspore (LM) stage marks the transition from the anther growth to anther maturation phase, characterised by the changes in anther structure, carbohydrate metabolism and the main transport pathway of sucrose (Suc). Fructan is a main storage polysaccharide in wheat anther, and its synthesis and remobilisation are crucial for anther development. Moreover, the process of pollen amylogenesis and the fate of the large vacuole in pollen are closely intertwined with fructan synthesis and remobilisation. LT disrupts the normal physiological metabolism of BNS anthers during meiosis, particularly affecting carbohydrate metabolism, thus determining the fate of male gametophytes and pollen abortion. Disruption of fructan synthesis and remobilisation regulation serves as a decisive event that results in anther abortion. Sterile pollen exhibits common traits of pollen starvation and impaired starch accumulation due to the inhibition of apoplastic transport starting from the LM stage, which is regulated by cell wall invertase TaIVR1 and Suc transporter TaSUT1.
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Affiliation(s)
- Huanting Gao
- Henan Engineering Research Centre of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Dongxiao Li
- Henan Engineering Research Centre of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Collaborative Innovation Centre of Modern Biological Breeding, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Provincial Key Laboratory of Hybrid Wheat, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Haiyan Hu
- Henan Engineering Research Centre of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Collaborative Innovation Centre of Modern Biological Breeding, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Provincial Key Laboratory of Hybrid Wheat, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Feng Zhou
- Henan Engineering Research Centre of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Yongang Yu
- Henan Engineering Research Centre of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Collaborative Innovation Centre of Modern Biological Breeding, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Provincial Key Laboratory of Hybrid Wheat, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Qichao Wei
- Henan Engineering Research Centre of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Collaborative Innovation Centre of Modern Biological Breeding, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Provincial Key Laboratory of Hybrid Wheat, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Qili Liu
- Henan Engineering Research Centre of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Mingjiu Liu
- Henan Engineering Research Centre of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Collaborative Innovation Centre of Modern Biological Breeding, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Provincial Key Laboratory of Hybrid Wheat, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Ping Hu
- Henan Engineering Research Centre of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Collaborative Innovation Centre of Modern Biological Breeding, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Provincial Key Laboratory of Hybrid Wheat, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Eryong Chen
- Henan Engineering Research Centre of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Collaborative Innovation Centre of Modern Biological Breeding, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Provincial Key Laboratory of Hybrid Wheat, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Puwen Song
- Henan Engineering Research Centre of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Collaborative Innovation Centre of Modern Biological Breeding, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Provincial Key Laboratory of Hybrid Wheat, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Xiaojia Su
- Henan Engineering Research Centre of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Collaborative Innovation Centre of Modern Biological Breeding, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Yuanyuan Guan
- Henan Engineering Research Centre of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Collaborative Innovation Centre of Modern Biological Breeding, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Mei Qiao
- College of Science and Engineering, Hebei Agricultural University, Baoding, Hebei, China
| | - Zhengang Ru
- Henan Collaborative Innovation Centre of Modern Biological Breeding, Henan Institute of Science and Technology, Xinxiang, Henan, China
- Henan Provincial Key Laboratory of Hybrid Wheat, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Chengwei Li
- Henan Engineering Research Centre of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, Henan, China
- College of Life Science, Henan Agricultural University, Zhengzhou, Henan, China
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Zhao T, Guan Y, Xu C, Wang D, Guan J, Liu Y. VWCE modulates amino acid-dependent mTOR signaling and coordinates with KICSTOR to recruit GATOR1 to the lysosomes. Nat Commun 2023; 14:8464. [PMID: 38123554 PMCID: PMC10733324 DOI: 10.1038/s41467-023-44241-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 12/05/2023] [Indexed: 12/23/2023] Open
Abstract
The mechanistic target of rapamycin complex 1 (mTORC1) is a crucial regulator of cell growth. It senses nutrient signals and adjusts cellular metabolism accordingly. Deregulation of mTORC1 has been associated with metabolic diseases, cancer, and aging. Amino acid signals are transduced to mTORC1 through sensor proteins and two protein complexes named GATOR1 and GATOR2. In this study, we identify VWCE (von Willebrand factor C and EGF domains) as a negative regulator of amino acid-dependent mTORC1 signaling. Knockdown of VWCE promotes mTORC1 activity even in the absence of amino acids. VWCE interacts with the KICSTOR complex to facilitate the recruitment of GATOR1 to the lysosomes. Bioinformatic analysis reveals that expression of VWCE is reduced in prostate cancer. More importantly, overexpression of VWCE inhibits the development of prostate cancer. Therefore, VWCE may serve as a potential therapeutic target for the treatment of prostate cancers.
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Affiliation(s)
- Tianyu Zhao
- State Key Laboratory of Membrane Biology, New Cornerstone Science Laboratory, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, 100871, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
| | - Yuanyuan Guan
- State Key Laboratory of Membrane Biology, New Cornerstone Science Laboratory, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, 100871, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
| | - Chenchen Xu
- State Key Laboratory of Membrane Biology, New Cornerstone Science Laboratory, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, 100871, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
| | - Dong Wang
- State Key Laboratory of Membrane Biology, New Cornerstone Science Laboratory, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, 100871, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
| | - Jialiang Guan
- PKU-Tsinghua-NIBS Graduate Program, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
| | - Ying Liu
- State Key Laboratory of Membrane Biology, New Cornerstone Science Laboratory, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, 100871, China.
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.
- Beijing Advanced Innovation Center for Genomics, Beijing, 100871, China.
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Zhang S, Yan C, Lu T, Fan Y, Ren Y, Zhao J, Shan X, Guan Y, Song P, Li D, Hu H. New insights into molecular features of the genome-wide AOX family and their responses to various stresses in common wheat (Triticum aestivum L.). Gene 2023; 888:147756. [PMID: 37659597 DOI: 10.1016/j.gene.2023.147756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 08/22/2023] [Accepted: 08/31/2023] [Indexed: 09/04/2023]
Abstract
Alternative oxidase (AOX) is an important terminal oxidase involved in the alternative oxidation pathway in plants, which is closely related to various biotic and abiotic stress responses. However, a comprehensive research on AOX gene family of wheat is still lacking. In this study, the members of wheat AOX (TaAOX) family were identified, and their molecular characteristics and gene expression patterns were systematically investigated. Seventeen TaAOX genes were identified from Chinese Spring (CS) genome, which were mapped on 7 chromosomes and mainly clustered on the long arm's distal end of the second homologous groups. Phylogenetic analysis showed that TaAOX genes were classified into four subgroups (Ia, Ib, Ic, and Id), and the Ia subgroup possessed the most members. Tandem duplication and segmental duplication events were found during the evolution of TaAOX genes and they were affected by purifying selection demonstrated by Ka/Ks analysis. The exon numbers of this family gene varied greatly from 1 to 9. Except for Ta3BSAOX14, all the proteins encoded by the other 16 TaAOX genes contained the amino acid residues of the key active sites in the AOX domain (cd01053). The expression patterns of TaAOX genes in various tissues and under abiotic and biotic stresses were analyzed using public transcriptome data, furthermore, qRT-PCR analysis was performed for some selected TaAOX genes, and the results suggested that most members of this gene family play an important role in response to different stresses in common wheat. Our results provide basic information and valuable reference for further exploring the gene function of TaAOX family by using gene editing, RNAi, VIGS, and other technologies.
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Affiliation(s)
- Shengli Zhang
- School of Life Sciences, Henan Institute of Science and Technology, Xinxiang, Henan, China; Henan Engineering Research Center of Crop Genome Editing, Henan Collaborative Innovation Center of Modern Biological Breeding, Xinxiang, Henan, China.
| | - Cuiping Yan
- School of Life Sciences, Henan Institute of Science and Technology, Xinxiang, Henan, China; Henan Engineering Research Center of Crop Genome Editing, Henan Collaborative Innovation Center of Modern Biological Breeding, Xinxiang, Henan, China
| | - Tairui Lu
- School of Life Sciences, Henan Institute of Science and Technology, Xinxiang, Henan, China; Henan Engineering Research Center of Crop Genome Editing, Henan Collaborative Innovation Center of Modern Biological Breeding, Xinxiang, Henan, China
| | - Yuchao Fan
- School of Life Sciences, Henan Institute of Science and Technology, Xinxiang, Henan, China; Henan Engineering Research Center of Crop Genome Editing, Henan Collaborative Innovation Center of Modern Biological Breeding, Xinxiang, Henan, China
| | - Yueming Ren
- School of Life Sciences, Henan Institute of Science and Technology, Xinxiang, Henan, China; Henan Engineering Research Center of Crop Genome Editing, Henan Collaborative Innovation Center of Modern Biological Breeding, Xinxiang, Henan, China
| | - Jishun Zhao
- School of Life Sciences, Henan Institute of Science and Technology, Xinxiang, Henan, China; Henan Engineering Research Center of Crop Genome Editing, Henan Collaborative Innovation Center of Modern Biological Breeding, Xinxiang, Henan, China
| | - Xiaojing Shan
- School of Life Sciences, Henan Institute of Science and Technology, Xinxiang, Henan, China; Henan Engineering Research Center of Crop Genome Editing, Henan Collaborative Innovation Center of Modern Biological Breeding, Xinxiang, Henan, China
| | - Yuanyuan Guan
- School of Life Sciences, Henan Institute of Science and Technology, Xinxiang, Henan, China; Henan Engineering Research Center of Crop Genome Editing, Henan Collaborative Innovation Center of Modern Biological Breeding, Xinxiang, Henan, China
| | - Puwen Song
- School of Life Sciences, Henan Institute of Science and Technology, Xinxiang, Henan, China; Henan Engineering Research Center of Crop Genome Editing, Henan Collaborative Innovation Center of Modern Biological Breeding, Xinxiang, Henan, China
| | - Dongfang Li
- School of Resource and Environmental Sciences, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Haiyan Hu
- School of Life Sciences, Henan Institute of Science and Technology, Xinxiang, Henan, China; Henan Engineering Research Center of Crop Genome Editing, Henan Collaborative Innovation Center of Modern Biological Breeding, Xinxiang, Henan, China
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Yao XF, He LJ, Wang H, Xu JT, Fu Q, Wang L, Guan Y. [Glomerulopathy with fibronectin deposits: a clinicopathological study]. Zhonghua Bing Li Xue Za Zhi 2023; 52:1157-1159. [PMID: 37899324 DOI: 10.3760/cma.j.cn112151-20230322-00218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Affiliation(s)
- X F Yao
- Deparment of Pathology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health,Beijing 100045, China
| | - L J He
- Deparment of Pathology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health,Beijing 100045, China
| | - H Wang
- Deparment of Renal Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health,Beijing 100045, China
| | - J T Xu
- Deparment of Pathology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health,Beijing 100045, China
| | - Q Fu
- Deparment of Renal Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health,Beijing 100045, China
| | - L Wang
- Deparment of Pathology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health,Beijing 100045, China
| | - Y Guan
- Ultrastructural Pathology Center, Renmin Hospital of Wuhan University, Wuhan 430060,China
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Adachi I, Adamczyk K, Aggarwal L, Aihara H, Akopov N, Aloisio A, Anh Ky N, Asner DM, Atmacan H, Aushev T, Aushev V, Aversano M, Babu V, Bae H, Bahinipati S, Bambade P, Banerjee S, Barrett M, Baudot J, Bauer M, Baur A, Beaubien A, Becherer F, Becker J, Behera PK, Bennett JV, Bernlochner FU, Bertacchi V, Bertemes M, Bertholet E, Bessner M, Bettarini S, Bhuyan B, Bianchi F, Bilka T, Biswas D, Bobrov A, Bodrov D, Bolz A, Bondar A, Borah J, Bozek A, Bračko M, Branchini P, Briere RA, Browder TE, Budano A, Bussino S, Campajola M, Cao L, Casarosa G, Cecchi C, Cerasoli J, Chang MC, Chang P, Cheaib R, Cheema P, Chekelian V, Cheon BG, Chilikin K, Chirapatpimol K, Cho HE, Cho K, Choi SK, Choudhury S, Cochran J, Corona L, Cremaldi LM, Das S, Dattola F, De La Cruz-Burelo E, De La Motte SA, De Nardo G, De Nuccio M, De Pietro G, de Sangro R, Destefanis M, Dey S, Dhamija R, Di Canto A, Di Capua F, Dingfelder J, Doležal Z, Domínguez Jiménez I, Dong TV, Dorigo M, Dort K, Dossett D, Dreyer S, Dubey S, Dujany G, Ecker P, Eliachevitch M, Epifanov D, Feichtinger P, Ferber T, Ferlewicz D, Fillinger T, Finck C, Finocchiaro G, Fodor A, Forti F, Frey A, Fulsom BG, Gabrielli A, Ganiev E, Garcia-Hernandez M, Garg R, Garmash A, Gaudino G, Gaur V, Gaz A, Gellrich A, Ghevondyan G, Ghosh D, Ghumaryan H, Giakoustidis G, Giordano R, Giri A, Gobbo B, Godang R, Gogota O, Goldenzweig P, Gradl W, Granderath S, Graziani E, Greenwald D, Gruberová Z, Gu T, Guan Y, Gudkova K, Halder S, Han Y, Hara T, Hayasaka K, Hayashii H, Hazra S, Hearty C, Hedges MT, Heidelbach A, Heredia de la Cruz I, Hernández Villanueva M, Hershenhorn A, Higuchi T, Hill EC, Hoek M, Hohmann M, Horak P, Hsu CL, Iijima T, Inami K, Inguglia G, Ipsita N, Ishikawa A, Ito S, Itoh R, Iwasaki M, Jackson P, Jacobs WW, Jang EJ, Ji QP, Jia S, Jin Y, Johnson A, Junkerkalefeld H, Kaliyar AB, Kandra J, Kang KH, Karyan G, Kawasaki T, Keil F, Ketter C, Kiesling C, Kim CH, Kim DY, Kim KH, Kim YK, Kindo H, Kinoshita K, Kodyš P, Koga T, Kohani S, Kojima K, Konno T, Korobov A, Korpar S, Kovalenko E, Kowalewski R, Kraetzschmar TMG, Križan P, Krokovny P, Kuhr T, Kumar J, Kumar M, Kumara K, Kunigo T, Kuzmin A, Kwon YJ, Lacaprara S, Lai YT, Lam T, Lanceri L, Lange JS, Laurenza M, Leboucher R, Le Diberder FR, Leitl P, Levit D, Lewis PM, Li C, Li LK, Li Y, Libby J, Liu QY, Liu ZQ, Liventsev D, Longo S, Lueck T, Luo T, Lyu C, Ma Y, Maggiora M, Maharana SP, Maiti R, Maity S, Mancinelli G, Manfredi R, Manoni E, Manthei AC, Mantovano M, Marcantonio D, Marcello S, Marinas C, Martel L, Martellini C, Martini A, Martinov T, Massaccesi L, Masuda M, Matsuda T, Matvienko D, Maurya SK, McKenna JA, Mehta R, Meier F, Merola M, Metzner F, Milesi M, Miller C, Mirra M, Miyabayashi K, Mohanty GB, Molina-Gonzalez N, Mondal S, Moneta S, Moser HG, Mrvar M, Mussa R, Nakamura I, Nakazawa Y, Narimani Charan A, Naruki M, Natkaniec Z, Natochii A, Nayak L, Nazaryan G, Nisar NK, Nishida S, Ogawa S, Ono H, Oskin P, Otani F, Pakhlov P, Pakhlova G, Paladino A, Panta A, Paoloni E, Pardi S, Parham K, Park SH, Paschen B, Passeri A, Patra S, Paul S, Pedlar TK, Peruzzi I, Peschke R, Pestotnik R, Pham F, Piccolo M, Piilonen LE, Podesta-Lerma PLM, Podobnik T, Pokharel S, Praz C, Prell S, Prencipe E, Prim MT, Purwar H, Rad N, Rados P, Raeuber G, Raiz S, Reif M, Reiter S, Remnev M, Ripp-Baudot I, Rizzo G, Robertson SH, Roehrken M, Roney JM, Rostomyan A, Rout N, Russo G, Sahoo D, Sandilya S, Sangal A, Santelj L, Sato Y, Savinov V, Scavino B, Schmitt C, Schnepf M, Schwanda C, Seino Y, Selce A, Senyo K, Serrano J, Sevior ME, Sfienti C, Shan W, Sharma C, Shen CP, Shi XD, Shillington T, Shiu JG, Shtol D, Shwartz B, Sibidanov A, Simon F, Singh JB, Skorupa J, Sobie RJ, Sobotzik M, Soffer A, Sokolov A, Solovieva E, Spataro S, Spruck B, Starič M, Stavroulakis P, Stefkova S, Stottler ZS, Stroili R, Strube J, Sumihama M, Sumisawa K, Sutcliffe W, Svidras H, Takahashi M, Takizawa M, Tamponi U, Tanida K, Tenchini F, Thaller A, Tittel O, Tiwary R, Tonelli D, Torassa E, Toutounji N, Trabelsi K, Tsaklidis I, Uchida M, Ueda I, Uematsu Y, Uglov T, Unger K, Unno Y, Uno K, Uno S, Urquijo P, Ushiroda Y, Vahsen SE, van Tonder R, Varner GS, Varvell KE, Veronesi M, Vismaya VS, Vitale L, Vobbilisetti V, Volpe R, Wach B, Waheed E, Wakai M, Wallner S, Wang E, Wang MZ, Wang Z, Warburton A, Watanabe M, Watanuki S, Welsch M, Wessel C, Xu XP, Yabsley BD, Yamada S, Yan W, Yang SB, Yin JH, Yoshihara K, Yuan CZ, Zani L, Zhang Y, Zhilich V, Zhou JS, Zhou QD, Zhukova VI, Žlebčík R. Tests of Light-Lepton Universality in Angular Asymmetries of B^{0}→D^{*-}ℓν Decays. Phys Rev Lett 2023; 131:181801. [PMID: 37977641 DOI: 10.1103/physrevlett.131.181801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 09/29/2023] [Indexed: 11/19/2023]
Abstract
We present the first comprehensive tests of the universality of the light leptons in the angular distributions of semileptonic B^{0}-meson decays to charged spin-1 charmed mesons. We measure five angular-asymmetry observables as functions of the decay recoil that are sensitive to lepton-universality-violating contributions. We use events where one neutral B is fully reconstructed in ϒ(4S)→BB[over ¯] decays in data corresponding to 189 fb^{-1} integrated luminosity from electron-positron collisions collected with the Belle II detector. We find no significant deviation from the standard model expectations.
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Adachi I, Aggarwal L, Aihara H, Akopov N, Aloisio A, Anh Ky N, Asner DM, Atmacan H, Aushev T, Aushev V, Aversano M, Babu V, Bae H, Bahinipati S, Bambade P, Banerjee S, Barrett M, Baudot J, Bauer M, Baur A, Beaubien A, Becker J, Behera PK, Bennett JV, Bernlochner FU, Bertacchi V, Bertemes M, Bertholet E, Bessner M, Bettarini S, Bhuyan B, Bianchi F, Bilka T, Biswas D, Bodrov D, Bondar A, Bozek A, Bračko M, Branchini P, Briere RA, Browder TE, Budano A, Bussino S, Campajola M, Cao L, Casarosa G, Cecchi C, Cerasoli J, Chang MC, Chang P, Cheema P, Chekelian V, Cheon BG, Chilikin K, Chirapatpimol K, Cho HE, Cho K, Choi SK, Choudhury S, Cochran J, Corona L, Das S, Dattola F, De La Motte SA, de Marino G, De Nardo G, De Nuccio M, De Pietro G, de Sangro R, Destefanis M, Dey S, Dhamija R, Di Canto A, Di Capua F, Dingfelder J, Doležal Z, Domínguez Jiménez I, Dong TV, Dorigo M, Dort K, Dreyer S, Dubey S, Dujany G, Ecker P, Epifanov D, Feichtinger P, Ferlewicz D, Finck C, Finocchiaro G, Fodor A, Forti F, Frey A, Fulsom BG, Gabrielli A, Ganiev E, Garcia-Hernandez M, Garmash A, Gaudino G, Gaur V, Gaz A, Gellrich A, Ghevondyan G, Ghosh D, Ghumaryan H, Giakoustidis G, Giordano R, Giri A, Glazov A, Gobbo B, Godang R, Gogota O, Goldenzweig P, Gradl W, Graziani E, Greenwald D, Gruberová Z, Gu T, Guan Y, Gudkova K, Han Y, Hayasaka K, Hayashii H, Hazra S, Hearty C, Heredia de la Cruz I, Hershenhorn A, Higuchi T, Hill EC, Hoek M, Hohmann M, Hsu CL, Humair T, Iijima T, Inami K, Ipsita N, Ishikawa A, Ito S, Itoh R, Iwasaki M, Jackson P, Jacobs WW, Jaffe DE, Jang EJ, Ji QP, Jia S, Jin Y, Junkerkalefeld H, Kaliyar AB, Kandra J, Karyan G, Kawasaki T, Keil F, Ketter C, Kiesling C, Kim CH, Kim DY, Kim KH, Kim YK, Kindo H, Kinoshita K, Kodyš P, Koga T, Kohani S, Kojima K, Korobov A, Korpar S, Kowalewski R, Kraetzschmar TMG, Križan P, Krokovny P, Kuhr T, Kumar J, Kumar M, Kumar R, Kumara K, Kuzmin A, Kwon YJ, Lacaprara S, Lai YT, Lam T, Lange JS, Laurenza M, Leboucher R, Le Diberder FR, Leitl P, Levit D, Lewis PM, Li LK, Libby J, Liu QY, Liu ZQ, Liventsev D, Longo S, Lueck T, Lyu C, Ma Y, Maggiora M, Maharana SP, Maiti R, Maity S, Manfredi R, Manoni E, Mantovano M, Marcantonio D, Marcello S, Marinas C, Martellini C, Martini A, Martinov T, Massaccesi L, Masuda M, Matsuda T, Matsuoka K, Matvienko D, Maurya SK, McKenna JA, Mehta R, Meier F, Merola M, Metzner F, Milesi M, Miller C, Mirra M, Miyabayashi K, Mohanty GB, Molina-Gonzalez N, Mondal S, Moneta S, Moser HG, Mrvar M, Mussa R, Nakamura I, Nakazawa Y, Narimani Charan A, Naruki M, Natkaniec Z, Natochii A, Nayak L, Nazaryan G, Nisar NK, Nishida S, Ono H, Otani F, Oxford ER, Pakhlov P, Pakhlova G, Paladino A, Panta A, Paoloni E, Pardi S, Passeri A, Patra S, Paul S, Pedlar TK, Peruzzi I, Peschke R, Pestotnik R, Pham F, Piccolo M, Piilonen LE, Podobnik T, Pokharel S, Praz C, Prell S, Prencipe E, Prim MT, Purwar H, Rados P, Raeuber G, Raiz S, Reif M, Reiter S, Remnev M, Ripp-Baudot I, Rizzo G, Roney JM, Rostomyan A, Rout N, Russo G, Sandilya S, Sangal A, Santelj L, Sato Y, Savinov V, Scavino B, Schmitt C, Schwanda C, Schwartz AJ, Seino Y, Selce A, Senyo K, Serrano J, Sevior ME, Sfienti C, Shan W, Shi XD, Shillington T, Shiu JG, Shtol D, Sibidanov A, Simon F, Sobie RJ, Sobotzik M, Soffer A, Sokolov A, Solovieva E, Spataro S, Spruck B, Starič M, Stavroulakis P, Stottler ZS, Stroili R, Sumihama M, Svidras H, Takahashi M, Takizawa M, Tamponi U, Tanida K, Tenchini F, Tittel O, Tonelli D, Torassa E, Trabelsi K, Tsaklidis I, Unger K, Unno Y, Uno K, Uno S, Urquijo P, Ushiroda Y, Vahsen SE, van Tonder R, Varvell KE, Veronesi M, Vismaya VS, Vitale L, Volpe R, Wach B, Wallner S, Wang E, Wang MZ, Wang XL, Wang Z, Warburton A, Watanabe M, Wessel C, Won E, Xu XP, Yabsley BD, Yamada S, Yan W, Yang SB, Yoshihara K, Yuan CZ, Yusa Y, Zhang Y, Zhilich V, Zhou JS, Zhou QD, Zhukova VI, Žlebčík R. Precise Measurement of the D_{s}^{+} Lifetime at Belle II. Phys Rev Lett 2023; 131:171803. [PMID: 37955504 DOI: 10.1103/physrevlett.131.171803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 09/14/2023] [Indexed: 11/14/2023]
Abstract
We measure the lifetime of the D_{s}^{+} meson using a data sample of 207 fb^{-1} collected by the Belle II experiment running at the SuperKEKB asymmetric-energy e^{+}e^{-} collider. The lifetime is determined by fitting the decay-time distribution of a sample of 116×10^{3} D_{s}^{+}→ϕπ^{+} decays. Our result is τ_{D_{s}^{+}}=(499.5±1.7±0.9) fs, where the first uncertainty is statistical and the second is systematic. This result is significantly more precise than previous measurements.
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Zhang B, Wang Z, Ling Y, Guan Y, Zhang S, Li W, Wei L, Zhang C. ShuffleTrans: Patch-wise weight shuffle for transparent object segmentation. Neural Netw 2023; 167:199-212. [PMID: 37659116 DOI: 10.1016/j.neunet.2023.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 06/19/2023] [Accepted: 08/06/2023] [Indexed: 09/04/2023]
Abstract
Transparent objects widely exist in the world. The task of transparent object segmentation is challenging as the object lacks its own texture. The cue of shape information therefore gets more critical. Most existing methods, however, rely on the mechanism of simple convolution, which is good at local cues and performs weakly on global cues like shape. To solve this problem, an operation named Patch-wise Weight Shuffle is proposed to bring in the global context cue by being combined with the dynamic convolution. A network ShuffleTrans that recognizes shape better is then designed based on this operation. Besides, fitter for this task, two auxiliary modules are presented in ShuffleTrans: a Boundary and Direction Refinement Module which collects two additional information, and a Channel Attention Enhancement Module that assists the above operation. Experiments on four texture-less object segmentation datasets and two normal datasets verify the effectiveness and generality of the method. Especially, the ShuffleTrans achieved 74.93% mIoU on the Trans10k v2 test set, which is more accurate than existing methods.
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Affiliation(s)
- Boxiang Zhang
- College of Computer Science and Technology, Jilin University, China; Key Laboratory of Symbolic Computation and Knowledge Engineer, Jilin University, China.
| | | | | | - Yuanyuan Guan
- College of Computer Science and Technology, Jilin University, China; Key Laboratory of Symbolic Computation and Knowledge Engineer, Jilin University, China.
| | | | - Wenhui Li
- College of Computer Science and Technology, Jilin University, China; Key Laboratory of Symbolic Computation and Knowledge Engineer, Jilin University, China.
| | | | - Chunxu Zhang
- College of Computer Science and Technology, Jilin University, China; Key Laboratory of Symbolic Computation and Knowledge Engineer, Jilin University, China; City University of Hong Kong, Hong Kong.
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Adachi I, Adamczyk K, Aggarwal L, Ahmed H, Aihara H, Akopov N, Aloisio A, Anh Ky N, Asner DM, Atmacan H, Aushev T, Aushev V, Aversano M, Babu V, Bae H, Bahinipati S, Bambade P, Banerjee S, Bansal S, Barrett M, Baudot J, Bauer M, Baur A, Beaubien A, Becker J, Behera PK, Bennett JV, Bernieri E, Bernlochner FU, Bertacchi V, Bertemes M, Bertholet E, Bessner M, Bettarini S, Bhardwaj V, Bhuyan B, Bianchi F, Bilka T, Bilokin S, Biswas D, Bobrov A, Bodrov D, Bolz A, Borah J, Bozek A, Bračko M, Branchini P, Browder TE, Budano A, Bussino S, Campajola M, Cao L, Casarosa G, Cecchi C, Cerasoli J, Chang MC, Chang P, Cheaib R, Cheema P, Chekelian V, Chen YQ, Cheon BG, Chilikin K, Chirapatpimol K, Cho HE, Cho K, Cho SJ, Choi SK, Choudhury S, Cinabro D, Cochran J, Corona L, Cremaldi LM, Cunliffe S, Czank T, Das S, Dattola F, De La Cruz-Burelo E, De La Motte SA, de Marino G, De Nardo G, De Nuccio M, De Pietro G, de Sangro R, Destefanis M, Dey S, De Yta-Hernandez A, Dhamija R, Di Canto A, Di Capua F, Dingfelder J, Doležal Z, Domínguez Jiménez I, Dong TV, Dorigo M, Dort K, Dossett D, Dreyer S, Dubey S, Dujany G, Ecker P, Eliachevitch M, Epifanov D, Feichtinger P, Ferber T, Ferlewicz D, Fillinger T, Finck C, Finocchiaro G, Fodor A, Forti F, Frey A, Fulsom BG, Gabrielli A, Ganiev E, Garcia-Hernandez M, Garmash A, Gaudino G, Gaur V, Gaz A, Gellrich A, Ghevondyan G, Ghosh D, Ghumaryan H, Giakoustidis G, Giordano R, Giri A, Glazov A, Gobbo B, Godang R, Gogota O, Goldenzweig P, Gradl W, Grammatico T, Granderath S, Graziani E, Greenwald D, Gruberová Z, Gu T, Guan Y, Gudkova K, Guilliams J, Halder S, Han Y, Hara T, Hayasaka K, Hayashii H, Hazra S, Hearty C, Hedges MT, Heredia de la Cruz I, Hernández Villanueva M, Hershenhorn A, Higuchi T, Hill EC, Hirata H, Hoek M, Hohmann M, Hsu CL, Humair T, Iijima T, Inami K, Inguglia G, Ipsita N, Ishikawa A, Ito S, Itoh R, Iwasaki M, Jackson P, Jacobs WW, Jaffe DE, Jang EJ, Ji QP, Jia S, Jin Y, Johnson A, Joo KK, Junkerkalefeld H, Kakuno H, Kaleta M, Kalita D, Kaliyar AB, Kandra J, Kang KH, Kang S, Karl R, Karyan G, Kawasaki T, Keil F, Ketter C, Kiesling C, Kim CH, Kim DY, Kim KH, Kim YK, Kindo H, Kodyš P, Koga T, Kohani S, Kojima K, Konno T, Korobov A, Korpar S, Kovalenko E, Kowalewski R, Kraetzschmar TMG, Križan P, Krokovny P, Kuhr T, Kumar J, Kumar M, Kumar R, Kumara K, Kunigo T, Kuzmin A, Kwon YJ, Lacaprara S, Lai YT, Lam T, Lanceri L, Lange JS, Laurenza M, Lautenbach K, Leboucher R, Le Diberder FR, Leitl P, Levit D, Lewis PM, Li C, Li LK, Li YB, Libby J, Lieret K, Liu QY, Liu ZQ, Liventsev D, Longo S, Lozar A, Lueck T, Lyu C, Ma Y, Maggiora M, Maharana SP, Maiti R, Maity S, Manfredi R, Manoni E, Manthei AC, Mantovano M, Marcantonio D, Marcello S, Marinas C, Martel L, Martellini C, Martini A, Martinov T, Massaccesi L, Masuda M, Matsuda T, Matsuoka K, Matvienko D, Maurya SK, McKenna JA, Mehta R, Merola M, Metzner F, Milesi M, Miller C, Mirra M, Miyabayashi K, Miyake H, Mizuk R, Mohanty GB, Molina-Gonzalez N, Mondal S, Moneta S, Moser HG, Mrvar M, Mussa R, Nakamura I, Nakamura KR, Nakao M, Nakayama H, Nakazawa H, Nakazawa Y, Narimani Charan A, Naruki M, Narwal D, Natkaniec Z, Natochii A, Nayak L, Nayak M, Nazaryan G, Niebuhr C, Nisar NK, Nishida S, Ogawa S, Ono H, Onuki Y, Oskin P, Otani F, Pakhlov P, Pakhlova G, Paladino A, Panta A, Paoloni E, Pardi S, Parham K, Park J, Park SH, Paschen B, Passeri A, Patra S, Paul S, Pedlar TK, Peruzzi I, Peschke R, Pestotnik R, Pham F, Piccolo M, Piilonen LE, Pinna Angioni G, Podesta-Lerma PLM, Podobnik T, Pokharel S, Polat L, Praz C, Prell S, Prencipe E, Prim MT, Purwar H, Rad N, Rados P, Raeuber G, Raiz S, Ramirez Morales A, Reif M, Reiter S, Remnev M, Ripp-Baudot I, Rizzo G, Rizzuto LB, Robertson SH, Rodríguez Pérez D, Roehrken M, Roney JM, Rostomyan A, Rout N, Russo G, Sahoo D, Sanders DA, Sandilya S, Sangal A, Santelj L, Sato Y, Savinov V, Scavino B, Schnepf M, Schueler J, Schwanda C, Seino Y, Selce A, Senyo K, Serrano J, Sevior ME, Sfienti C, Shan W, Sharma C, Shen CP, Shi XD, Shillington T, Shiu JG, Shtol D, Shwartz B, Sibidanov A, Simon F, Singh JB, Skorupa J, Sobie RJ, Sobotzik M, Soffer A, Sokolov A, Solovieva E, Spataro S, Spruck B, Starič M, Stavroulakis P, Stefkova S, Stottler ZS, Stroili R, Strube J, Sue Y, Sumihama M, Sumisawa K, Sutcliffe W, Suzuki SY, Svidras H, Takahashi M, Takizawa M, Tamponi U, Tanaka S, Tanida K, Tanigawa H, Tenchini F, Thaller A, Tiwary R, Tonelli D, Torassa E, Toutounji N, Trabelsi K, Tsaklidis I, Uchida M, Ueda I, Uematsu Y, Uglov T, Unger K, Unno Y, Uno K, Uno S, Urquijo P, Ushiroda Y, Vahsen SE, van Tonder R, Varner GS, Varvell KE, Vinokurova A, Vismaya VS, Vitale L, Vobbilisetti V, Volpe R, Vossen A, Wach B, Wakai M, Wakeling HM, Wallner S, Wang E, Wang MZ, Wang XL, Wang Z, Warburton A, Watanabe M, Watanuki S, Welsch M, Wessel C, Won E, Xu XP, Yabsley BD, Yamada S, Yan W, Yang SB, Ye H, Yelton J, Yin JH, Yook YM, Yoshihara K, Yuan CZ, Yusa Y, Zani L, Zhai Y, Zhang Y, Zhilich V, Zhou JS, Zhou QD, Zhou XY, Zhukova VI, Žlebčík R. Search for a τ^{+}τ^{-} Resonance in e^{+}e^{-}→μ^{+}μ^{-}τ^{+}τ^{-} Events with the Belle II Experiment. Phys Rev Lett 2023; 131:121802. [PMID: 37802942 DOI: 10.1103/physrevlett.131.121802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 08/08/2023] [Indexed: 10/08/2023]
Abstract
We report the first search for a nonstandard-model resonance decaying into τ pairs in e^{+}e^{-}→μ^{+}μ^{-}τ^{+}τ^{-} events in the 3.6-10 GeV/c^{2} mass range. We use a 62.8 fb^{-1} sample of e^{+}e^{-} collisions collected at a center-of-mass energy of 10.58 GeV by the Belle II experiment at the SuperKEKB collider. The analysis probes three different models predicting a spin-1 particle coupling only to the heavier lepton families, a Higgs-like spin-0 particle that couples preferentially to charged leptons (leptophilic scalar), and an axionlike particle, respectively. We observe no evidence for a signal and set exclusion limits at 90% confidence level on the product of cross section and branching fraction into τ pairs, ranging from 0.7 to 24 fb, and on the couplings of these processes. We obtain world-leading constraints on the couplings for the leptophilic scalar model for masses above 6.5 GeV/c^{2} and for the axionlike particle model over the entire mass range.
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Adachi I, Adamczyk K, Aggarwal L, Ahmed H, Aihara H, Akopov N, Aloisio A, Anh Ky N, Asner DM, Atmacan H, Aushev T, Aushev V, Aversano M, Babu V, Bae H, Bahinipati S, Bambade P, Banerjee S, Barrett M, Baudot J, Bauer M, Baur A, Beaubien A, Becker J, Behera PK, Bennett JV, Bertacchi V, Bertemes M, Bertholet E, Bessner M, Bettarini S, Bhuyan B, Bianchi F, Bilka T, Biswas D, Bodrov D, Bondar A, Borah J, Bozek A, Bračko M, Branchini P, Briere RA, Browder TE, Budano A, Bussino S, Campajola M, Cao L, Casarosa G, Cecchi C, Cerasoli J, Chang P, Cheaib R, Cheema P, Chekelian V, Chen C, Cheon BG, Chilikin K, Chirapatpimol K, Cho HE, Cho K, Cho SJ, Choi SK, Choudhury S, Cochran J, Corona L, Cremaldi LM, Das S, Dattola F, De La Cruz-Burelo E, De La Motte SA, de Marino G, De Nuccio M, De Pietro G, de Sangro R, Destefanis M, De Yta-Hernandez A, Dhamija R, Di Canto A, Di Capua F, Dingfelder J, Doležal Z, Domínguez Jiménez I, Dong TV, Dorigo M, Dort K, Dreyer S, Dubey S, Dujany G, Ecker P, Eliachevitch M, Feichtinger P, Ferber T, Ferlewicz D, Fillinger T, Finck C, Finocchiaro G, Fodor A, Forti F, Fulsom BG, Gabrielli A, Ganiev E, Garcia-Hernandez M, Garg R, Garmash A, Gaudino G, Gaur V, Gaz A, Gellrich A, Ghosh D, Giakoustidis G, Giordano R, Giri A, Glazov A, Gobbo B, Godang R, Goldenzweig P, Gradl W, Grammatico T, Granderath S, Graziani E, Greenwald D, Gruberová Z, Gu T, Guan Y, Gudkova K, Halder S, Han Y, Hara K, Hara T, Hayasaka K, Hayashii H, Hazra S, Hearty C, Hedges MT, Heredia de la Cruz I, Hernández Villanueva M, Hershenhorn A, Higuchi T, Hill EC, Hoek M, Hohmann M, Hsu CL, Humair T, Iijima T, Inami K, Ipsita N, Ishikawa A, Ito S, Itoh R, Iwasaki M, Jackson P, Jacobs WW, Jang EJ, Ji QP, Jia S, Jin Y, Johnson A, Joo KK, Junkerkalefeld H, Kaleta M, Kaliyar AB, Kandra J, Kang KH, Kang S, Kar S, Karyan G, Kawasaki T, Keil F, Ketter C, Kiesling C, Kim CH, Kim DY, Kim KH, Kim YK, Kindo H, Kodyš P, Koga T, Kohani S, Kojima K, Korobov A, Korpar S, Kovalenko E, Kowalewski R, Kraetzschmar TMG, Križan P, Krokovny P, Kuhr T, Kumar J, Kumar M, Kumara K, Kunigo T, Kuzmin A, Kwon YJ, Lacaprara S, Lai YT, Lam T, Lange JS, Laurenza M, Leboucher R, Le Diberder FR, Leitl P, Levit D, Li C, Li LK, Libby J, Liu QY, Liu ZQ, Liventsev D, Longo S, Lueck T, Luo T, Lyu C, Ma Y, Maggiora M, Maharana SP, Maiti R, Maity S, Mancinelli G, Manfredi R, Manoni E, Mantovano M, Marcantonio D, Marcello S, Marinas C, Martel L, Martellini C, Martinov T, Massaccesi L, Masuda M, Matsuda T, Matsuoka K, Matvienko D, Maurya SK, McKenna JA, Mehta R, Meier F, Merola M, Metzner F, Milesi M, Miller C, Mirra M, Miyabayashi K, Mizuk R, Mohanty GB, Molina-Gonzalez N, Mondal S, Moneta S, Moser HG, Mrvar M, Mussa R, Nakamura I, Nakazawa Y, Narimani Charan A, Naruki M, Natochii A, Nayak L, Nayak M, Nazaryan G, Nisar NK, Nishida S, Ono H, Onuki Y, Oskin P, Pakhlov P, Pakhlova G, Paladino A, Paoloni E, Pardi S, Parham K, Park H, Park SH, Passeri A, Patra S, Paul S, Pedlar TK, Peschke R, Pestotnik R, Pham F, Piccolo M, Piilonen LE, Podesta-Lerma PLM, Podobnik T, Pokharel S, Praz C, Prell S, Prencipe E, Prim MT, Purwar H, Rad N, Rados P, Raeuber G, Raiz S, Reif M, Reiter S, Remnev M, Ripp-Baudot I, Rizzo G, Robertson SH, Roehrken M, Roney JM, Rostomyan A, Rout N, Russo G, Sahoo D, Sandilya S, Sangal A, Santelj L, Sato Y, Savinov V, Scavino B, Schmitt C, Schwanda C, Schwartz AJ, Seino Y, Selce A, Senyo K, Serrano J, Sevior ME, Sfienti C, Shan W, Sharma C, Shi XD, Shillington T, Shiu JG, Shtol D, Sibidanov A, Simon F, Singh JB, Skorupa J, Sobie RJ, Sobotzik M, Soffer A, Sokolov A, Solovieva E, Spataro S, Spruck B, Starič M, Stavroulakis P, Stefkova S, Stottler ZS, Stroili R, Sumihama M, Sumisawa K, Sutcliffe W, Svidras H, Takahashi M, Takizawa M, Tamponi U, Tanaka S, Tanida K, Tenchini F, Thaller A, Tittel O, Tiwary R, Tonelli D, Torassa E, Trabelsi K, Tsaklidis I, Uchida M, Ueda I, Uglov T, Unger K, Unno Y, Uno K, Uno S, Urquijo P, Ushiroda Y, Vahsen SE, van Tonder R, Varner GS, Varvell KE, Vinokurova A, Vismaya VS, Vitale L, Wach B, Wakai M, Wakeling HM, Wallner S, Wang E, Wang MZ, Wang Z, Warburton A, Watanabe M, Watanuki S, Welsch M, Wessel C, Won E, Xu XP, Yabsley BD, Yamada S, Yan W, Yang SB, Yin JH, Yoshihara K, Yuan CZ, Yusa Y, Zani L, Zhang Y, Zhilich V, Zhou QD, Zhukova VI. Measurement of CP Violation in B^{0}→K_{S}^{0}π^{0} Decays at Belle II. Phys Rev Lett 2023; 131:111803. [PMID: 37774261 DOI: 10.1103/physrevlett.131.111803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 07/26/2023] [Indexed: 10/01/2023]
Abstract
We report a measurement of the CP-violating parameters C and S in B^{0}→K_{S}^{0}π^{0} decays at Belle II using a sample of 387×10^{6} BB[over ¯] events recorded in e^{+}e^{-} collisions at a center-of-mass energy corresponding to the ϒ(4S) resonance. These parameters are determined by fitting the proper decay-time distribution of a sample of 415 signal events. We obtain C=-0.04_{-0.15}^{+0.14}±0.05 and S=0.75_{-0.23}^{+0.20}±0.04, where the first uncertainties are statistical and the second are systematic.
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Guan Y, Wei Z, Zhou L, Wang K, Zhang M, Song P, Hu P, Hu H, Li C. Tae-miR397 Negatively Regulates Wheat Resistance to Blumeria graminis. Plants (Basel) 2023; 12:3096. [PMID: 37687344 PMCID: PMC10489981 DOI: 10.3390/plants12173096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 08/25/2023] [Accepted: 08/26/2023] [Indexed: 09/10/2023]
Abstract
MicroRNA (miRNA) plays a crucial role in the interactions between plants and pathogens, and identifying disease-related miRNAs could help us understand the mechanisms underlying plant disease pathogenesis and breed resistant varieties. However, the role of miRNA in wheat defense responses remains largely unexplored. The miR397 family is highly conserved in plants and involved in plant development and defense response. Therefore, the purpose of this study was to investigate the function of tae-miR397 in wheat resistance to powdery mildew. The expression pattern analysis revealed that tae-miR397 expression was higher in young leaves than in other tissues and was significantly decreased in wheat Bainong207 leaves after Blumeria graminis (Bgt) infection and chitin treatment. Additionally, the expression of tae-miR397 was significantly down-regulated by salicylic acid and induced under jasmonate treatment. The overexpression of tae-miR397 in common wheat Bainong207 enhanced the wheat's susceptibility to powdery mildew in the seedling and adult stages. The rate of Bgt spore germination and mycelial growth in transgenic wheat plants overexpressing tae-miR397 was faster than in the untransformed wild-type plants. The target gene of tae-miR397 was predicted to be a wound-induced protein (Tae-WIP), and the function was investigated. We demonstrated that silencing of Tae-WIP via barley-stripe-mosaic-virus-induced gene silencing enhanced wheat's susceptibility to powdery mildew. qRT-PCR indicated that tae-miR397 regulated wheat immunity by controlling pathogenesis-related gene expressions. Moreover, the transgenic plants overexpressing tae-miR397 exhibited more tillers than the wild-type plants. This work suggests that tae-miR397 is a negative regulator of resistance against powdery mildew and has great potential for breeding disease-resistant cultivars.
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Affiliation(s)
- Yuanyuan Guan
- School of Life Sciences, Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang 453003, China; (Y.G.); (Z.W.); (L.Z.); (K.W.)
| | - Zhiyuan Wei
- School of Life Sciences, Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang 453003, China; (Y.G.); (Z.W.); (L.Z.); (K.W.)
| | - Luyi Zhou
- School of Life Sciences, Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang 453003, China; (Y.G.); (Z.W.); (L.Z.); (K.W.)
| | - Kaige Wang
- School of Life Sciences, Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang 453003, China; (Y.G.); (Z.W.); (L.Z.); (K.W.)
| | - Meng Zhang
- School of Agriculture, Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang 453003, China; (M.Z.); (P.S.); (P.H.)
| | - Puwen Song
- School of Agriculture, Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang 453003, China; (M.Z.); (P.S.); (P.H.)
| | - Ping Hu
- School of Agriculture, Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang 453003, China; (M.Z.); (P.S.); (P.H.)
| | - Haiyan Hu
- School of Agriculture, Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang 453003, China; (M.Z.); (P.S.); (P.H.)
| | - Chengwei Li
- College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China
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Xu C, Pan X, Wang D, Guan Y, Yang W, Chen X, Liu Y. O-GlcNAcylation of Raptor transduces glucose signals to mTORC1. Mol Cell 2023; 83:3027-3040.e11. [PMID: 37541260 DOI: 10.1016/j.molcel.2023.07.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 05/23/2023] [Accepted: 07/11/2023] [Indexed: 08/06/2023]
Abstract
The mechanistic target of rapamycin complex 1 (mTORC1) regulates metabolism and cell growth in response to nutrient levels. Dysregulation of mTORC1 results in a broad spectrum of diseases. Glucose is the primary energy supply of cells, and therefore, glucose levels must be accurately conveyed to mTORC1 through highly responsive signaling mechanisms to control mTORC1 activity. Here, we report that glucose-induced mTORC1 activation is regulated by O-GlcNAcylation of Raptor, a core component of mTORC1, in HEK293T cells. Mechanistically, O-GlcNAcylation of Raptor at threonine 700 facilitates the interactions between Raptor and Rag GTPases and promotes the translocation of mTOR to the lysosomal surface, consequently activating mTORC1. In addition, we show that AMPK-mediated phosphorylation of Raptor suppresses Raptor O-GlcNAcylation and inhibits Raptor-Rags interactions. Our findings reveal an exquisitely controlled mechanism, which suggests how glucose coordinately regulates cellular anabolism and catabolism.
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Affiliation(s)
- Chenchen Xu
- State Key Laboratory of Membrane Biology, New Cornerstone Science Laboratory, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China
| | - Xiaoqing Pan
- College of Chemistry and Molecular Engineering, Peking University, Beijing, China; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Dong Wang
- State Key Laboratory of Membrane Biology, New Cornerstone Science Laboratory, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China
| | - Yuanyuan Guan
- State Key Laboratory of Membrane Biology, New Cornerstone Science Laboratory, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China
| | - Wenyu Yang
- Yuan Pei College, Peking University, Beijing 100871, China
| | - Xing Chen
- College of Chemistry and Molecular Engineering, Peking University, Beijing, China; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China; Beijing National Laboratory for Molecular Sciences, Peking University, Beijing 100871, China; Synthetic and Functional Biomolecules Center, Peking University, Beijing 100871, China; Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Peking University, Beijing 100871, China.
| | - Ying Liu
- State Key Laboratory of Membrane Biology, New Cornerstone Science Laboratory, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China; Beijing Advanced Innovation Center for Genomics, Beijing 100871, China.
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Hu P, Ren Y, Xu J, Luo W, Wang M, Song P, Guan Y, Hu H, Li C. Identification of acyl-CoA-binding protein gene in Triticeae species reveals that TaACBP4A-1 and TaACBP4A-2 positively regulate powdery mildew resistance in wheat. Int J Biol Macromol 2023; 246:125526. [PMID: 37379955 DOI: 10.1016/j.ijbiomac.2023.125526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 06/16/2023] [Accepted: 06/21/2023] [Indexed: 06/30/2023]
Abstract
Plant acyl-CoA-binding proteins (ACBPs), which contain the conserved ACB domain, participate in multiple biological processes, however, there are few reports on wheat ACBPs. In this study, the ACBP genes from nine different species were identified comprehensively. The expression patterns of TaACBP genes in multiple tissues and under various biotic stresses were determined by qRT-PCR. The function of selected TaACBP genes was studied by virus-induced gene silencing. A total of 67 ACBPs were identified from five monocotyledonous and four dicotyledonous species and divided into four classes. Tandem duplication analysis of the ACBPs suggested that tandem duplication events occurred in Triticum dicoccoides, but there was no tandem duplication event in wheat ACBP genes. Evolutionary analysis suggested that the TdACBPs may have experienced gene introgression during tetraploid evolution, while TaACBP gene loss events occurred during hexaploid wheat evolution. The expression pattern showed that all the TaACBP genes were expressed, and most of them were responsive to induction by Blumeria graminis f. sp. tritici or Fusarium graminearum. Silencing of TaACBP4A-1 and TaACBP4A-2 increased powdery mildew susceptibility in the common wheat BainongAK58. Furthermore, TaACBP4A-1, which belonged to class III, physically interacted with autophagy-related ubiquitin-like protein TaATG8g in yeast cells. This study provided a valuable reference for further investigations into the functional and molecular mechanisms of the ACBP gene family.
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Affiliation(s)
- Ping Hu
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang, China.
| | - Yueming Ren
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang, China
| | - Jun Xu
- College of Landscape Architecture and Horticulture, Henan Institute of Science and Technology, Xinxiang, China
| | - Wanglong Luo
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang, China
| | - Mengfei Wang
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang, China
| | - Puwen Song
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang, China.
| | - Yuanyuan Guan
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang, China
| | - Haiyan Hu
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang, China.
| | - Chengwei Li
- College of Biological Engineering, Henan University of Technology, Zhengzhou, China.
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Bodrov D, Pakhlov P, Adachi I, Aihara H, Said SA, Asner DM, Atmacan H, Aushev T, Ayad R, Babu V, Banerjee S, Behera P, Belous K, Bennett J, Bessner M, Bhuyan B, Bilka T, Biswas D, Bobrov A, Bondar A, Borah J, Bozek A, Bračko M, Branchini P, Browder TE, Budano A, Campajola M, Červenkov D, Chang MC, Cheon BG, Chilikin K, Cho HE, Cho K, Cho SJ, Choi SK, Choi Y, Choudhury S, Cinabro D, Das S, De Nardo G, De Pietro G, Dhamija R, Di Capua F, Dingfelder J, Doležal Z, Dong TV, Epifanov D, Ferber T, Ferlewicz D, Fulsom BG, Gaur V, Garmash A, Giri A, Goldenzweig P, Graziani E, Greenwald D, Gu T, Guan Y, Gudkova K, Hadjivasiliou C, Halder S, Hayasaka K, Hayashii H, Hedges MT, Herrmann D, Hou WS, Hsu CL, Iijima T, Inami K, Ipsita N, Ishikawa A, Itoh R, Iwasaki M, Jacobs WW, Jang EJ, Ji QP, Jia S, Jin Y, Joo KK, Kalita D, Kaliyar AB, Kawasaki T, Kiesling C, Kim CH, Kim DY, Kim KH, Kim YK, Kindo H, Kinoshita K, Kodyš P, Korpar S, Križan P, Krokovny P, Kuhr T, Kumar M, Kumar R, Kumara K, Kwon YJ, Lange JS, Lee SC, Li J, Li LK, Libby J, Lieret K, Lin YR, Liventsev D, Luo T, Ma Y, Masuda M, Matsuda T, Maurya SK, Meier F, Merola M, Metzner F, Miyabayashi K, Mizuk R, Mohanty GB, Mussa R, Nakao M, Narwal D, Natkaniec Z, Natochii A, Nayak L, Nayak M, Nisar NK, Nishida S, Ogawa S, Oskin P, Pakhlova G, Pardi S, Park H, Park J, Park SH, Passeri A, Patra S, Paul S, Pestotnik R, Piilonen LE, Podobnik T, Prencipe E, Prim MT, Rabusov A, Rout N, Russo G, Sandilya S, Sangal A, Santelj L, Savinov V, Schnell G, Schwanda C, Seino Y, Senyo K, Shan W, Shapkin M, Sharma C, Shiu JG, Singh JB, Sokolov A, Solovieva E, Starič M, Stottler ZS, Sumihama M, Takizawa M, Tamponi U, Tanida K, Tenchini F, Tiwary R, Trabelsi K, Uchida M, Uglov T, Unno Y, Uno K, Uno S, Vahsen SE, Varner G, Vinokurova A, Vossen A, Wang D, Wang E, Wang MZ, Watanuki S, Werbycka O, Xu X, Yabsley BD, Yan W, Yang SB, Yelton J, Yin JH, Yuan CZ, Yusa Y, Zhang ZP, Zhilich V, Zhukova V. First Measurement of the Michel Parameter ξ^{'} in the τ^{-}→μ^{-}ν[over ¯]_{μ}ν_{τ} Decay at Belle. Phys Rev Lett 2023; 131:021801. [PMID: 37505960 DOI: 10.1103/physrevlett.131.021801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/06/2023] [Indexed: 07/30/2023]
Abstract
We report the first measurement of the Michel parameter ξ^{'} in the τ^{-}→μ^{-}ν[over ¯]_{μ}ν_{τ} decay with a new method proposed just recently. The measurement is based on the reconstruction of the τ^{-}→μ^{-}ν[over ¯]_{μ}ν_{τ} events with subsequent muon decay in flight in the Belle central drift chamber. The analyzed data sample of 988 fb^{-1} collected by the Belle detector corresponds to approximately 912×10^{6} τ^{+}τ^{-} pairs. We measure ξ^{'}=0.22±0.94(stat)±0.42(syst), which is in agreement with the standard model prediction of ξ^{'}=1. Statistical uncertainty dominates in this study, being a limiting factor, while systematic uncertainty is well under control. Our analysis proved the practicability of this promising method and its prospects for further precise measurement in future experiments.
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17
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Watanuki S, de Marino G, Trabelsi K, Adachi I, Aihara H, Asner DM, Atmacan H, Aulchenko V, Aushev T, Ayad R, Babu V, Banerjee S, Bauer M, Behera P, Belous K, Bessner M, Bhardwaj V, Bhuyan B, Biswas D, Bodrov D, Bonvicini G, Borah J, Bozek A, Bračko M, Branchini P, Browder TE, Budano A, Campajola M, Cao L, Červenkov D, Chang MC, Cheon BG, Chilikin K, Cho K, Cho SJ, Choi SK, Choi Y, Choudhury S, Cinabro D, Das S, De Nardo G, De Pietro G, Dhamija R, Di Capua F, Dong TV, Epifanov D, Ferber T, Ferlewicz D, Fulsom BG, Garg R, Gaur V, Garmash A, Giri A, Goldenzweig P, Graziani E, Gu T, Guan Y, Gudkova K, Hadjivasiliou C, Halder S, Han X, Hara T, Hayasaka K, Hayashii H, Herrmann D, Hou WS, Hsu CL, Inami K, Inguglia G, Ipsita N, Ishikawa A, Itoh R, Iwasaki M, Jacobs WW, Ji QP, Jia S, Jin Y, Joo KK, Kaliyar AB, Kichimi H, Kim CH, Kim DY, Kim KH, Kim YK, Kinoshita K, Kodyš P, Korobov A, Korpar S, Kovalenko E, Križan P, Krokovny P, Kuhr T, Kumar M, Kumara K, Kuzmin A, Kwon YJ, Lange JS, Laurenza M, Lee SC, Lewis P, Li LK, Li Y, Li Gioi L, Libby J, Lin YR, Liventsev D, Matsuda T, Maurya SK, Meier F, Merola M, Metzner F, Miyabayashi K, Mizuk R, Mohanty GB, Nakao M, Nayak L, Nayak M, Nisar NK, Nishida S, Ono H, Oskin P, Pakhlova G, Pardi S, Park H, Park J, Park SH, Passeri A, Pedlar TK, Pestotnik R, Piilonen LE, Podobnik T, Prencipe E, Prim MT, Röhrken M, Rout N, Russo G, Sandilya S, Sangal A, Santelj L, Savinov V, Schnell G, Schwanda C, Seino Y, Senyo K, Sevior ME, Shan W, Shapkin M, Shiu JG, Shwartz B, Simon F, Solovieva E, Starič M, Sumihama M, Sumiyoshi T, Takizawa M, Tanida K, Tenchini F, Uchida M, Uglov T, Unno Y, Uno K, Uno S, van Tonder R, Varner G, Varvell KE, Wang D, Wang E, Wang MZ, Won E, Xu X, Yabsley BD, Yan W, Yang SB, Yelton J, Yusa Y, Zhang ZP, Zhilich V, Zhukova V. Search for the Lepton Flavor Violating Decays B^{+}→K^{+}τ^{±}ℓ^{∓} (ℓ=e, μ) at Belle. Phys Rev Lett 2023; 130:261802. [PMID: 37450824 DOI: 10.1103/physrevlett.130.261802] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 05/04/2023] [Indexed: 07/18/2023]
Abstract
We present a search for the lepton flavor violating decays B^{+}→K^{+}τ^{±}ℓ^{∓}, with ℓ=(e,μ), using the full data sample of 772×10^{6} BB[over ¯] pairs recorded by the Belle detector at the KEKB asymmetric-energy e^{+}e^{-} collider. We use events in which one B meson is fully reconstructed in a hadronic decay mode. We find no evidence for B^{±}→K^{±}τℓ decays and set upper limits on their branching fractions at the 90% confidence level in the (1-3)×10^{-5} range. The obtained limits are the world's best results.
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Tian Z, Fan Y, Sun X, Wang D, Guan Y, Zhang Y, Zhang Z, Guo J, Bu H, Wu Z, Wang H. Predictive value of TCM clinical index for diabetic peripheral neuropathy among the type 2 diabetes mellitus population: A new observation and insight. Heliyon 2023; 9:e17339. [PMID: 37389043 PMCID: PMC10300217 DOI: 10.1016/j.heliyon.2023.e17339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 06/06/2023] [Accepted: 06/14/2023] [Indexed: 07/01/2023] Open
Abstract
Aims The objectives of this study were to identify clinical predictors of the Traditional Chinese medicine (TCM) clinical index for diabetic peripheral neuropathy (DPN) in type 2 diabetes mellitus (T2DM) patients, develop a clinical prediction model, and construct a nomogram. Methods We collected the TCM clinical index from 3590 T2DM recruited at the Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine from January 2019 to October 2020. The participants were randomly assigned to either the training group (n = 3297) or the validation group (n = 1426). TCM symptoms and tongue characteristics were used to assess the risk of developing DPN in T2DM patients. Through 5-fold cross-validation in the training group, the least absolute shrinkage and selection operator (LASSO) regression analysis method was used to optimize variable selection. In addition, using multifactor logistic regression analysis, a predictive model and nomogram were developed. Results A total of eight independent predictors were found to be associated with the DPN in multivariate logistic regression analyses: advanced age of grading (odds ratio/OR 1.575), smoke (OR 2.815), insomnia (OR 0.557), sweating (OR 0.535), loose teeth (OR 1.713), dry skin (OR 1.831), purple tongue (OR 2.278). And dark red tongue (OR 0.139). The model was constructed using these eight predictor's medium discriminative capabilities. The area under the curve (AUC) of the training set is 0.727, and the AUC of the validation set is 0.744 on the ROC curve. The calibration plot revealed that the model's goodness-of-fit is satisfactory. Conclusions We established a TCM prediction model for DPN in patients with T2DM based on the TCM clinical index.
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Affiliation(s)
- Zhikui Tian
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Yadong Fan
- Nanjing University of Chinese Medicine, Nanjing, 210023, China
- Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210004, China
| | - Xuan Sun
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Dongjun Wang
- College of Traditional Chinese Medicine, North China University of Science and Technology, Tangshan, 063000, China
| | - Yuanyuan Guan
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Ying Zhang
- Fengnan District Hospital of Traditional Chinese Medicine, Tangshan, 063000, China
| | - Zhaohui Zhang
- Surgery of TCM, Second Affiliated Hospital of Tianjin University of TCM, Tianjin, 301617, China
| | - Jing Guo
- Surgery of TCM, Second Affiliated Hospital of Tianjin University of TCM, Tianjin, 301617, China
| | - Huaien Bu
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Zhongming Wu
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
| | - Hongwu Wang
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
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Lai YT, Adachi I, Aihara H, Al Said S, Asner DM, Atmacan H, Aulchenko V, Aushev T, Ayad R, Babu V, Bahinipati S, Behera P, Belous K, Bennett J, Bessner M, Bhuyan B, Bilka T, Bobrov A, Borah J, Bozek A, Bračko M, Branchini P, Browder TE, Budano A, Campajola M, Červenkov D, Chang MC, Chang P, Chekelian V, Chen A, Cheon BG, Chilikin K, Cho HE, Cho K, Cho SJ, Choi SK, Choi Y, Cinabro D, Cunliffe S, Czank T, Das S, De Nardo G, De Pietro G, Dhamija R, Di Capua F, Dingfelder J, Doležal Z, Dong TV, Ferber T, Fulsom BG, Garg R, Gaur V, Gabyshev N, Giri A, Goldenzweig P, Graziani E, Gu T, Guan Y, Gudkova K, Hadjivasiliou C, Halder S, Hartbrich O, Hayasaka K, Hayashii H, Higuchi T, Hou WS, Hsu CL, Iijima T, Inami K, Ishikawa A, Itoh R, Iwasaki M, Iwasaki Y, Jacobs WW, Jang EJ, Jia S, Jin Y, Kaliyar AB, Kang KH, Kim CH, Kim DY, Kim KH, Kim YK, Kinoshita K, Kodyš P, Konno T, Korobov A, Korpar S, Kovalenko E, Križan P, Krokovny P, Kumar M, Kumar R, Kumara K, Kuzmin A, Kwon YJ, Lam T, Lange JS, Laurenza M, Lee SC, Levit D, Li J, Li LK, Li YB, Li Gioi L, Libby J, Lieret K, Liventsev D, Martini A, Masuda M, Matvienko D, Meier F, Merola M, Metzner F, Mizuk R, Mohanty GB, Moon TJ, Mrvar M, Mussa R, Nakao M, Natochii A, Nayak L, Nisar NK, Nishida S, Ogawa S, Pakhlova G, Pang T, Pardi S, Park H, Park SH, Passeri A, Patra S, Paul S, Pedlar TK, Pestotnik R, Piilonen LE, Podobnik T, Prencipe E, Prim MT, Rostomyan A, Rout N, Russo G, Sahoo D, Sakai Y, Sandilya S, Sangal A, Santelj L, Sanuki T, Savinov V, Schnell G, Schueler J, Schwanda C, Seino Y, Senyo K, Sevior ME, Shapkin M, Sharma C, Shen CP, Shiu JG, Singh JB, Sokolov A, Solovieva E, Starič M, Stottler ZS, Strube JF, Sumihama M, Sumisawa K, Sutcliffe W, Takizawa M, Tamponi U, Tanida K, Tenchini F, Trabelsi K, Uglov T, Unno Y, Uno K, Uno S, Urquijo P, van Tonder R, Varner G, Varvell KE, Vinokurova A, Vossen A, Waheed E, Wang CH, Wang XL, Watanabe M, Watanuki S, Won E, Yabsley BD, Yan W, Yang SB, Ye H, Yelton J, Zhai Y, Zhang ZP, Zhilich V, Zhukova V. First Measurement of the B^{+}→π^{+}π^{0}π^{0} Branching Fraction and CP Asymmetry. Phys Rev Lett 2023; 130:181804. [PMID: 37204904 DOI: 10.1103/physrevlett.130.181804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 03/27/2023] [Indexed: 05/21/2023]
Abstract
We study B^{+}→π^{+}π^{0}π^{0} using 711 fb^{-1} of data collected at the ϒ(4S) resonance with the Belle detector at the KEKB asymmetric-energy e^{+}e^{-} collider. We measure an inclusive branching fraction of (19.0±1.5±1.4)×10^{-6} and an inclusive CP asymmetry of (9.2±6.8±0.7)%, where the first uncertainties are statistical and the second are systematic, and a B^{+}→ρ(770)^{+}π^{0} branching fraction of (11.2±1.1±0.9_{-1.6}^{+0.8})×10^{-6}, where the third uncertainty is due to possible interference with B^{+}→ρ(1450)^{+}π^{0}. We present the first observation of a structure around 1 GeV/c^{2} in the π^{0}π^{0} mass spectrum, with a significance of 6.4σ, and measure a branching fraction to be (6.9±0.9±0.6)×10^{-6}. We also report a measurement of local CP asymmetry in this structure.
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Wang C, Li Y, Guan Y, Yang SJ, Yin JC, Zhang CF, Guo QS, Shi WN. [Efficacy and influencing factors of immunotherapy combined with chemotherapy and bevacizumab in patients with non-small cell lung cancer after epidermal growth factor receptor tyrosine kinase inhibitors treatment failure]. Zhonghua Yi Xue Za Zhi 2023; 103:1210-1216. [PMID: 37087404 DOI: 10.3760/cma.j.cn112137-20221101-02275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/24/2023]
Abstract
Objective: To investigate the efficacy and influencing factors of immunotherapy combined with chemotherapy and bevacizumab in patients with non-small cell lung cancer (NSCLC) who failed epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) treatment. Methods: A retrospective analysis was made on the clinical data of 60 NSCLC patients who were treated with immunotherapy combined with chemotherapy and bevacizumab after EGFR-TKIs treatment failure in the Affiliated Cancer Hospital of Shandong First Medical University from January 2019 to March 2022. Patients were followed up by telephone or outpatient review up to October 1, 2022, with a median follow-up of 8.2 months (95%CI: 7.1-9.3). All 60 patients were followed up. The response evaluation criteria in solid tumors were used to evaluate the short-term efficacy. The adverse reactions of patients were evaluated according to the common terminology criteria for adverse events. The survival curve was drawn by Kaplan-Meier method. Cox proportional hazard regression models were utilized to analyze the influencing factors of progression-free survival (PFS). Results: Among the 60 NSCLC patients, 22 were males. The age ranged from 41 to 75 years, with a median age of 61 years. Eleven patients had partial response, 19 patients had stable disease and 30 patients had progressive disease. The median PFS was 8.2 months (95%CI: 7.2-9.2). The median PFS of patients with low expression of programmed death receptor-ligand 1 (PD-L1) [Tumor cell Proportion Score (TPS)<1%], moderate expression of PD-L1 (1%≤TPS≤49%), and high expression of PD-L1 (TPS≥50%) were 6.4 (95%CI: 4.8-8.0), 8.3 (95%CI: 7.3-9.3) and 10.6 months (95%CI: 7.2-14.1), respectively, and there were statistically significant differences (χ2=13.58, P<0.001). Multivariate Cox proportional risk regression model analysis showed that age>65 years old (HR=4.017, 95%CI: 1.468-10.992, P=0.007) was a risk factor for PFS in NSCLC patients who received immunotherapy combined with chemotherapy and bevacizumab after EGFR-TKIs treatment failure. Moderate expression of PD-L1 (HR=0.360, 95%CI: 0.139-0.930, P=0.035) and high expression of PD-L1 (HR=0.155, 95%CI: 0.039-0.625, P=0.009) were protective factors for PFS. Most of the treatment-related adverse reactions in the whole group were grade 1-2, including bone marrow suppression (n=24), nausea (n=25), decreased appetite (n=24), fatigue (n=22), vomiting (n=18), abnormal liver function (n=17), blood creatinine increased (n=10), and so on. These were tolerated by the patients. Conclusions: NSCLC patients who failed EGFR-TKIs treatment can tolerate adverse reactions related to immunotherapy combined with chemotherapy and bevacizumab treatment. PFS is significantly prolonged in those aged≤65 years and those with moderate and high expression of PD-L1.
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Affiliation(s)
- C Wang
- Department of Oncology, Affiliated Cancer Hospital of Shandong First Medical University, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Y Li
- Department of Oncology, Affiliated Cancer Hospital of Shandong First Medical University, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Y Guan
- Department of Oncology, Affiliated Cancer Hospital of Shandong First Medical University, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China
| | - S J Yang
- Phase Ⅰ Clinical Trial Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China
| | - J C Yin
- Department of Oncology, Affiliated Cancer Hospital of Shandong First Medical University, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China
| | - C F Zhang
- Department of Oncology, Affiliated Cancer Hospital of Shandong First Medical University, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Q S Guo
- Department of Oncology, Affiliated Cancer Hospital of Shandong First Medical University, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China
| | - W N Shi
- Department of Medicine, Affiliated Cancer Hospital of Shandong First Medical University, Jinan 250117, China
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Duan Y, Yu T, Jin L, Zhang S, Shi X, Zhang Y, Zhou N, Xu Y, Lu W, Zhou H, Zhu H, Bai S, Hu K, Guan Y. Discovery of novel, potent, and orally bioavailable HDACs inhibitors with LSD1 inhibitory activity for the treatment of solid tumors. Eur J Med Chem 2023; 254:115367. [PMID: 37086699 DOI: 10.1016/j.ejmech.2023.115367] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 03/23/2023] [Accepted: 04/09/2023] [Indexed: 04/24/2023]
Abstract
Histone deacetylases (HDACs) and lysine-specific demethylase 1 (LSD1) are attractive targets for epigenetic cancer therapy. There is an intimate interplay between the two enzymes. HDACs inhibitors have shown synergistic anticancer effects in combination with LSD1 inhibitors in several types of cancer. Herein, we describe the discovery of compound 5e, a highly potent HDACs inhibitor (HDAC1/2/6/8; IC50 = 2.07/4.71/2.40/107 nM) with anti-LSD1 potency (IC50 = 1.34 μM). Compound 5e exhibited marked antiproliferative activity in several cancer cell lines. 5e effectively induced mitochondrial apoptosis with G2/M phase arrest, inhibiting cell migration and invasion in MGC-803 and HCT-116 cancer cells. It also showed good liver microsomal stability and acceptable pharmacokinetic parameters in SD rats. More importantly, orally administered compound 5e demonstrated higher in vivo antitumor efficacy than SAHA in the MGC-803 (TGI = 71.5%) and HCT-116 (TGI = 57.6%) xenograft tumor models accompanied by good tolerability. This study provides a novel lead compound with dual inhibitory activity against HDACs and LSD1 to further develop epigenetic drugs for solid tumor therapy. Further optimization is needed to improve the LSD1 activity to achieve dual inhibitors with balanced potency on LSD1 and HDACs.
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Affiliation(s)
- Yingchao Duan
- School of Pharmacy, Xinxiang Medical University, 453003, Xinxiang, Henan Province, PR China.
| | - Tong Yu
- School of Pharmacy, Xinxiang Medical University, 453003, Xinxiang, Henan Province, PR China
| | - Linfeng Jin
- School of Pharmacy, Xinxiang Medical University, 453003, Xinxiang, Henan Province, PR China
| | - Shaojie Zhang
- School of Pharmacy, Xinxiang Medical University, 453003, Xinxiang, Henan Province, PR China
| | - Xiaojing Shi
- Laboratory Animal Center, Academy of Medical Science, Zhengzhou University, 450052, Zhengzhou, Henan Province, PR China
| | - Yizhe Zhang
- School of Pharmacy, Xinxiang Medical University, 453003, Xinxiang, Henan Province, PR China
| | - Nanqian Zhou
- Department of Ultrasonography, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan University People's Hospital, 450003, Zhengzhou, Henan Province, PR China
| | - Yongtao Xu
- School of Medical Engineering, Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, 453003, Xinxiang, Henan Province, PR China.
| | - Wenfeng Lu
- School of Medical Engineering, Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, 453003, Xinxiang, Henan Province, PR China
| | - Huimin Zhou
- School of Pharmacy, Xinxiang Medical University, 453003, Xinxiang, Henan Province, PR China
| | - Huijuan Zhu
- School of Pharmacy, Xinxiang Medical University, 453003, Xinxiang, Henan Province, PR China
| | - Suping Bai
- School of Pharmacy, Xinxiang Medical University, 453003, Xinxiang, Henan Province, PR China
| | - Kua Hu
- School of Pharmacy, Xinxiang Medical University, 453003, Xinxiang, Henan Province, PR China.
| | - Yuanyuan Guan
- School of Pharmacy, Xinxiang Medical University, 453003, Xinxiang, Henan Province, PR China.
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Hao Y, Si J, Wei J, Gu X, Wang W, Zhang Y, Guan Y, Huang H, Xu C, Song Z. 221P Comparison of efficacy and safety of carboplatin combined with nab-paclitaxel or paclitaxel as first-line therapy for advanced thymic epithelial tumors. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00474-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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Adachi I, Aggarwal L, Ahmed H, Aihara H, Akopov N, Aloisio A, Anh Ky N, Asner DM, Aushev T, Aushev V, Bae H, Bambade P, Banerjee S, Baudot J, Bauer M, Beaubien A, Becker J, Behera PK, Bennett JV, Bernieri E, Bernlochner FU, Bertacchi V, Bertemes M, Bertholet E, Bessner M, Bettarini S, Bhuyan B, Bianchi F, Bilka T, Biswas D, Bodrov D, Bolz A, Borah J, Bozek A, Bračko M, Branchini P, Browder TE, Budano A, Bussino S, Campajola M, Cao L, Casarosa G, Chang MC, Cheema P, Chekelian V, Chen YQ, Chilikin K, Chirapatpimol K, Cho HE, Cho K, Cho SJ, Choi SK, Choudhury S, Cinabro D, Corona L, Cunliffe S, Das S, Dattola F, De La Cruz-Burelo E, De La Motte SA, De Nardo G, De Nuccio M, De Pietro G, de Sangro R, Destefanis M, Dey S, De Yta-Hernandez A, Dhamija R, Di Canto A, Di Capua F, Doležal Z, Domínguez Jiménez I, Dong TV, Dorigo M, Dort K, Dreyer S, Dubey S, Dujany G, Eliachevitch M, Feichtinger P, Ferber T, Ferlewicz D, Fillinger T, Finocchiaro G, Fodor A, Forti F, Fulsom BG, Ganiev E, Gaur V, Gaz A, Gellrich A, Ghevondyan G, Giordano R, Giri A, Glazov A, Gobbo B, Godang R, Goldenzweig P, Granderath S, Graziani E, Greenwald D, Gu T, Guan Y, Gudkova K, Guilliams J, Hara T, Hayasaka K, Hayashii H, Hazra S, Hearty C, Heredia de la Cruz I, Hernández Villanueva M, Hershenhorn A, Higuchi T, Hill EC, Hirata H, Hohmann M, Hsu CL, Iijima T, Inami K, Inguglia G, Ipsita N, Ishikawa A, Ito S, Iwasaki M, Jackson P, Jacobs WW, Jaffe DE, Jang EJ, Ji QP, Jia S, Jin Y, Joo KK, Junkerkalefeld H, Kaliyar AB, Kang KH, Karl R, Karyan G, Ketter C, Kiesling C, Kim CH, Kim DY, Kim KH, Kim YK, Kindo H, Kodyš P, Koga T, Kohani S, Kojima K, Konno T, Korobov A, Korpar S, Kovalenko E, Kowalewski R, Kraetzschmar TMG, Križan P, Krokovny P, Kumar R, Kumara K, Kunigo T, Kuzmin A, Kwon YJ, Lacaprara S, Lam T, Lanceri L, Lange JS, Laurenza M, Lautenbach K, Leboucher R, Lewis PM, Li C, Li LK, Libby J, Lieret K, Liptak Z, Liu QY, Liventsev D, Longo S, Lozar A, Lueck T, Lyu C, Maggiora M, Maiti R, Manfredi R, Manoni E, Marcello S, Marinas C, Martel L, Martini A, Martinov T, Massaccesi L, Masuda M, Matsuoka K, Maurya SK, McKenna JA, Merola M, Metzner F, Milesi M, Miller C, Miyabayashi K, Mizuk R, Molina-Gonzalez N, Moneta S, Moser HG, Mrvar M, Mussa R, Nakamura I, Nakao M, Nakazawa Y, Narimani Charan A, Naruki M, Natkaniec Z, Natochii A, Nayak L, Nayak M, Nazaryan G, Nisar NK, Ogawa S, Ono H, Onuki Y, Oskin P, Paladino A, Panta A, Paoloni E, Pardi S, Park H, Park SH, Paschen B, Passeri A, Paul S, Pedlar TK, Peruzzi I, Peschke R, Pestotnik R, Piccolo M, Piilonen LE, Podesta-Lerma PLM, Podobnik T, Pokharel S, Polat L, Praz C, Prell S, Prencipe E, Prim MT, Purwar H, Rad N, Raiz S, Ramirez Morales A, Reif M, Reiter S, Remnev M, Ripp-Baudot I, Rizzo G, Robertson SH, Roney JM, Rostomyan A, Rout N, Russo G, Sanders DA, Sandilya S, Sangal A, Santelj L, Sato Y, Savinov V, Scavino B, Schueler J, Schwanda C, Seino Y, Selce A, Senyo K, Serrano J, Sevior ME, Sfienti C, Shen CP, Shi XD, Shillington T, Sibidanov A, Singh JB, Skorupa J, Sobie RJ, Soffer A, Solovieva E, Spataro S, Starič M, Stefkova S, Stottler ZS, Stroili R, Sue Y, Sumihama M, Sumisawa K, Sutcliffe W, Suzuki SY, Svidras H, Takizawa M, Tanida K, Tanigawa H, Tenchini F, Thaller A, Tiwary R, Tonelli D, Torassa E, Toutounji N, Trabelsi K, Uchida M, Ueda I, Uematsu Y, Uglov T, Unger K, Unno Y, Uno K, Uno S, Ushiroda Y, Vahsen SE, van Tonder R, Varner GS, Vinokurova A, Vitale L, Vobbilisetti V, Wakeling HM, Wang E, Wang MZ, Warburton A, Watanuki S, Welsch M, Wessel C, Won E, Xu XP, Yabsley BD, Yamada S, Yan W, Yang SB, Ye H, Yelton J, Yin JH, Yook YM, Yoshihara K, Yuan CZ, Zani L, Zhang Y, Zhou XY, Zhukova VI, Žlebčík R. Observation of e^{+}e^{-}→ωχ_{bJ}(1P) and Search for X_{b}→ωϒ(1S) at sqrt[s] near 10.75 GeV. Phys Rev Lett 2023; 130:091902. [PMID: 36930912 DOI: 10.1103/physrevlett.130.091902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 01/25/2023] [Indexed: 06/18/2023]
Abstract
We study the processes e^{+}e^{-}→ωχ_{bJ}(1P) (J=0, 1, or 2) using samples at center-of-mass energies sqrt[s]=10.701, 10.745, and 10.805 GeV, corresponding to 1.6, 9.8, and 4.7 fb^{-1} of integrated luminosity, respectively. These data were collected with the Belle II detector during special operations of the SuperKEKB collider above the ϒ(4S) resonance. We report the first observation of ωχ_{bJ}(1P) signals at sqrt[s]=10.745 GeV. By combining Belle II data with Belle results at sqrt[s]=10.867 GeV, we find energy dependencies of the Born cross sections for e^{+}e^{-}→ωχ_{b1,b2}(1P) to be consistent with the shape of the ϒ(10753) state. These data indicate that the internal structures of the ϒ(10753) and ϒ(10860) states may differ. Including data at sqrt[s]=10.653 GeV, we also search for the bottomonium equivalent of the X(3872) state decaying into ωϒ(1S). No significant signal is observed for masses between 10.45 and 10.65 GeV/c^{2}.
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Guan Y, Wei Z, Song P, Zhou L, Hu H, Hu P, Li C. MicroRNA Expression Profiles in Response to Phytophthora infestans and Oidium neolycopersici and Functional Identification of sly-miR397 in Tomato. Phytopathology 2023; 113:497-507. [PMID: 36346372 DOI: 10.1094/phyto-04-22-0117-r] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Late blight and powdery mildew are two widespread tomato diseases caused by Phytophthora infestans and Oidium neolycopersici, respectively, which reduce the quantity and quality of tomato. MicroRNAs (miRNAs) play critical roles in tomato resistance to various pathogens. Investigating the function of miRNAs is of great significance in controlling tomato diseases. To identify potential miRNAs involved in the interaction of tomato with P. infestans or O. neolycopersici, we analyzed the expression profiles of small RNAs in tomato leaves infected with these two pathogens using RNA-seq technology. A total of 330 and 288 miRNAs exhibited differences in expression levels after exposure to P. infestans and O. neolycopersici, respectively. One hundred and forty-six commonly differentially expressed (DE) miRNAs responsive to P. infestans and O. neolycopersici infestation were detected, including 10 commonly known conserved DE miRNAs and 136 novel miRNAs. Among these known DE miRNAs, sly-miR397 was strongly downregulated in response to P. infestans or O. neolycopersici infection. Silencing of sly-miR397 resulted in enhanced tolerance to the pathogens, whereas overexpression of sly-miR397 showed increased susceptibility. Furthermore, changes in sly-miR397 expression could also affect expression levels of pathogenesis-related genes and reactive oxygen species-scavenging genes, leading to altered necrotic cells and H2O2 levels. In addition, the number of lateral branches significantly changed in transgenic plants. Taken together, our results provide potential miRNA resources for further research of miRNA-disease associations and indicates that sly-miR397 acts as a negative regulator of disease resistance and influences lateral branch development in tomato.
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Affiliation(s)
- Yuanyuan Guan
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453000, China
| | - Zhiyuan Wei
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453000, China
| | - Puwen Song
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453000, China
| | - Luyi Zhou
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453000, China
| | - Haiyan Hu
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453000, China
| | - Ping Hu
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453000, China
| | - Chengwei Li
- College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China
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Abudinén F, Aggarwal L, Ahmed H, Ahn JK, Aihara H, Akopov N, Aloisio A, Anh Ky N, Asner DM, Atmacan H, Aushev T, Aushev V, Babu V, Bae H, Bambade P, Banerjee S, Bansal S, Baudot J, Bauer M, Baur A, Beaubien A, Becker J, Bennett JV, Bernieri E, Bernlochner FU, Bertacchi V, Bertemes M, Bertholet E, Bessner M, Bettarini S, Bhardwaj V, Bianchi F, Bilka T, Biswas D, Bodrov D, Bolz A, Bonvicini G, Bozek A, Bračko M, Branchini P, Briere RA, Browder TE, Budano A, Bussino S, Campajola M, Cao L, Casarosa G, Cecchi C, Chang MC, Chang P, Cheaib R, Cheema P, Chen C, Chen YQ, Chen YT, Cheon BG, Chilikin K, Chirapatpimol K, Cho HE, Cho K, Cho SJ, Choi SK, Choudhury S, Cinabro D, Corona L, Cremaldi LM, Cunliffe S, Dattola F, De La Cruz-Burelo E, De La Motte SA, De Nardo G, De Nuccio M, De Pietro G, de Sangro R, Destefanis M, De Yta-Hernandez A, Dhamija R, Di Canto A, Di Capua F, Dingfelder J, Doležal Z, Domínguez Jiménez I, Dong TV, Dorigo M, Dort K, Dossett D, Dreyer S, Dujany G, Eliachevitch M, Epifanov D, Feichtinger P, Ferber T, Ferlewicz D, Fillinger T, Finocchiaro G, Flood K, Fodor A, Forti F, Frey A, Fulsom BG, Gabrielli A, Ganiev E, Garcia-Hernandez M, Gaz A, Gellrich A, Ghevondyan G, Giordano R, Giri A, Glazov A, Gobbo B, Godang R, Goldenzweig P, Gradl W, Granderath S, Greenwald D, Gu T, Guan Y, Gudkova K, Guilliams J, Halder S, Hara K, Hartbrich O, Hayasaka K, Hayashii H, Hazra S, Hearty C, Heredia de la Cruz I, Hernández Villanueva M, Hershenhorn A, Higuchi T, Hohmann M, Humair T, Iijima T, Inami K, Inguglia G, Ipsita N, Ishikawa A, Ito S, Itoh R, Iwasaki M, Iwasaki Y, Jackson P, Jacobs WW, Jaffe DE, Ji QP, Jin Y, Junkerkalefeld H, Kaleta M, Kandra J, Kang KH, Karl R, Karyan G, Kiesling C, Kim CH, Kim DY, Kim KH, Kim YK, Kindo H, Kinoshita K, Kodyš P, Koga T, Kohani S, Kojima K, Korobov A, Korpar S, Kovalenko E, Kowalewski R, Kraetzschmar TMG, Križan P, Krokovny P, Kuhr T, Kumar J, Kumar R, Kumara K, Kunigo T, Kwon YJ, Lacaprara S, Lam T, Lanceri L, Lange JS, Laurenza M, Leboucher R, Lee SC, Leitl P, Levit D, Li LK, Li SX, Li YB, Libby J, Liptak Z, Liu QY, Liventsev D, Longo S, Lueck T, Lyu C, Maggiora M, Maiti R, Maity S, Manfredi R, Manoni E, Marcello S, Marinas C, Martel L, Martini A, Massaccesi L, Masuda M, Matsuoka K, Matvienko D, McKenna JA, Meier F, Merola M, Milesi M, Miller C, Miyabayashi K, Mohanty GB, Molina-Gonzalez N, Moneta S, Moon H, Moser HG, Mrvar M, Mussa R, Nakamura I, Nakao M, Nakayama H, Narimani Charan A, Naruki M, Natkaniec Z, Natochii A, Nayak L, Nayak M, Nazaryan G, Niebuhr C, Nisar NK, Nishida S, Nishimura K, Ono H, Oskin P, Oxford ER, Pakhlova G, Paladino A, Panta A, Paoloni E, Pardi S, Parham K, Park H, Park SH, Passeri A, Pedlar TK, Peruzzi I, Peschke R, Pestotnik R, Pham F, Piilonen LE, Pinna Angioni G, Podesta-Lerma PLM, Podobnik T, Pokharel S, Polat L, Praz C, Prell S, Prencipe E, Prim MT, Purwar H, Rad N, Rados P, Raiz S, Reif M, Reiter S, Ripp-Baudot I, Rizzo G, Robertson SH, Roney JM, Rostomyan A, Rout N, Russo G, Sanders DA, Sandilya S, Sangal A, Santelj L, Sato Y, Savinov V, Scavino B, Schwanda C, Schwartz AJ, Seino Y, Selce A, Senyo K, Serrano J, Sfienti C, Shen CP, Shillington T, Shiu JG, Sibidanov A, Simon F, Sobie RJ, Soffer A, Sokolov A, Solovieva E, Spataro S, Spruck B, Starič M, Stefkova S, Stroili R, Strube J, Sumihama M, Sumisawa K, Sutcliffe W, Suzuki SY, Svidras H, Takahashi M, Takizawa M, Tamponi U, Tanaka S, Tanida K, Tanigawa H, Taniguchi N, Tenchini F, Tiwary R, Tonelli D, Torassa E, Toutounji N, Trabelsi K, Uchida M, Unger K, Unno Y, Uno K, Uno S, Urquijo P, Ushiroda Y, Vahsen SE, van Tonder R, Varner GS, Varvell KE, Vinokurova A, Vitale L, Vobbilisetti V, Waheed E, Wakeling HM, Wang E, Wang MZ, Wang XL, Warburton A, Watanuki S, Welsch M, Wessel C, Wiechczynski J, Windel H, Won E, Xu XP, Yabsley BD, Yamada S, Yang SB, Ye H, Yelton J, Yin JH, Yoshihara K, Yusa Y, Zhang Y, Zhilich V, Zhou QD, Zhukova VI, Žlebčík R. Measurement of the Λ_{c}^{+} Lifetime. Phys Rev Lett 2023; 130:071802. [PMID: 36867815 DOI: 10.1103/physrevlett.130.071802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 07/25/2022] [Indexed: 06/18/2023]
Abstract
An absolute measurement of the Λ_{c}^{+} lifetime is reported using Λ_{c}^{+}→pK^{-}π^{+} decays in events reconstructed from data collected by the Belle II experiment at the SuperKEKB asymmetric-energy electron-positron collider. The total integrated luminosity of the data sample, which was collected at center-of-mass energies at or near the ϒ(4S) resonance, is 207.2 fb^{-1}. The result, τ(Λ_{c}^{+})=203.20±0.89±0.77 fs, where the first uncertainty is statistical and the second systematic, is the most precise measurement to date and is consistent with previous determinations.
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Tian Z, Wang D, Sun X, Fan Y, Guan Y, Zhang N, Zhou M, Zeng X, Yuan Y, Bu H, Wang H. Current status and trends of artificial intelligence research on the four traditional Chinese medicine diagnostic methods: a scientometric study. Ann Transl Med 2023; 11:145. [PMID: 36846009 PMCID: PMC9951008 DOI: 10.21037/atm-22-6431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 01/13/2023] [Indexed: 02/05/2023]
Abstract
Background With the development of technology and the renewal of traditional Chinese medicine (TCM) diagnostic equipment, artificial intelligence (AI) has been widely applied in TCM. Numerous articles employing this technology have been published. This study aimed to outline the knowledge and themes trends of the four TCM diagnostic methods to help researchers quickly master the hotspots and trends in this field. Four TCM diagnostic methods is a TCM diagnostic method through inspection, listening, smelling, inquiring and palpation, the purpose of which is to collect the patient's medical history, symptoms and signs. Then, it provides an analytical basis for later disease diagnosis and treatment plans. Methods Publications related to AI-based research on the four TCM diagnostic methods were selected from the Web of Science Core Collection, without any restriction on the year of publication. VOSviewer and Citespace were primarily used to create graphical bibliometric maps in this field. Results China was the most productive country in this field, and Evidence-Based Complementary and Alternative Medicine published the largest number of related papers, and the Shanghai University of Traditional Chinese Medicine is the dominant research organization. The Chengdu University of Traditional Chinese Medicine had the highest average number of citations. Jinhong Guo was the most influential author and Artificial Intelligence in Medicine was the most authoritative journal. Six clusters separated by keywords association showed the range of AI-based research on the four TCM diagnostic methods. The hotspots of AI-based research on the four TCM diagnostic methods included the classification and diagnosis of tongue images in patients with diabetes and machine learning for TCM symptom differentiation. Conclusions This study demonstrated that AI-based research on the four TCM diagnostic methods is currently in the initial stage of rapid development and has bright prospects. Cross-country and regional cooperation should be strengthened in the future. It is foreseeable that more related research outputs will rely on the interdisciplinarity of TCM and the development of neural networks models.
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Affiliation(s)
- Zhikui Tian
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Dongjun Wang
- College of Traditional Chinese Medicine, North China University of Science and Technology, Tangshan, China
| | - Xuan Sun
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yadong Fan
- Graduate School, Nanjing University of Chinese Medicine, Nanjing, China;,Institute of Hypertension, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Yuanyuan Guan
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Naijin Zhang
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Mi Zhou
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xianyue Zeng
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yin Yuan
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Huaien Bu
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Hongwu Wang
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, China
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Li YB, Shen CP, Adachi I, Aihara H, Asner DM, Atmacan H, Aushev T, Ayad R, Babu V, Bahinipati S, Behera P, Belous K, Bennett J, Bessner M, Bhardwaj V, Bhuyan B, Bilka T, Bodrov D, Borah J, Bozek A, Bračko M, Branchini P, Browder TE, Budano A, Campajola M, Červenkov D, Chang MC, Chang P, Cheon BG, Chilikin K, Cho HE, Cho K, Cho SJ, Choi SK, Choi Y, Choudhury S, Cinabro D, Das S, De Pietro G, Dhamija R, Di Capua F, Dingfelder J, Doležal Z, Dong TV, Dossett D, Epifanov D, Fulsom BG, Garg R, Gaur V, Garmash A, Giri A, Goldenzweig P, Graziani E, Gu T, Guan Y, Gudkova K, Hadjivasiliou C, Hayasaka K, Hayashii H, Hou WS, Hsu CL, Iijima T, Inami K, Ipsita N, Ishikawa A, Itoh R, Iwasaki M, Iwasaki Y, Jacobs WW, Jang EJ, Ji QP, Jia S, Jin Y, Joo KK, Karyan G, Kawasaki T, Kichimi H, Kiesling C, Kim CH, Kim DY, Kim KH, Kim YK, Kindo H, Kinoshita K, Kodyš P, Konno T, Korobov A, Korpar S, Kovalenko E, Križan P, Krokovny P, Kumar M, Kumar R, Kumara K, Kwon YJ, Lam T, Lange JS, Laurenza M, Lee SC, Li CH, Li J, Li LK, Li Y, Li Gioi L, Libby J, Lieret K, Liventsev D, Masuda M, Matsuda T, Matvienko D, Maurya SK, Meier F, Merola M, Metzner F, Miyabayashi K, Mizuk R, Mohanty GB, Nakamura I, Nakao M, Natkaniec Z, Natochii A, Nayak L, Niiyama M, Nisar NK, Nishida S, Ogawa S, Ono H, Oskin P, Pakhlov P, Pakhlova G, Pardi S, Park H, Park SH, Patra S, Paul S, Pedlar TK, Pestotnik R, Piilonen LE, Podobnik T, Prencipe E, Prim MT, Rout N, Russo G, Sandilya S, Santelj L, Savinov V, Schnell G, Schueler J, Schwanda C, Seino Y, Senyo K, Sevior ME, Shapkin M, Sharma C, Shiu JG, Singh JB, Sokolov A, Solovieva E, Starič M, Stottler ZS, Sumihama M, Sumiyoshi T, Sutcliffe W, Takizawa M, Tamponi U, Tanida K, Tenchini F, Trabelsi K, Tsuboyama T, Uchida M, Uglov T, Unno Y, Uno S, Usov Y, van Tonder R, Varner G, Varvell KE, Waheed E, Wang E, Wang MZ, Watanabe M, Watanuki S, Werbycka O, Wiechczynski J, Won E, Yabsley BD, Yan W, Yang SB, Yelton J, Yin JH, Yuan CZ, Yusa Y, Zhai Y, Zhang ZP, Zhilich V, Zhukova V. Evidence of a New Excited Charmed Baryon Decaying to Σ_{c}(2455)^{0,++}π^{±}. Phys Rev Lett 2023; 130:031901. [PMID: 36763394 DOI: 10.1103/physrevlett.130.031901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 07/31/2022] [Accepted: 08/23/2022] [Indexed: 06/18/2023]
Abstract
We present the study of B[over ¯]^{0}→Σ_{c}(2455)^{0,++}π^{±}p[over ¯] decays based on 772×10^{6} BB[over ¯] events collected with the Belle detector at the KEKB asymmetric-energy e^{+}e^{-} collider. The Σ_{c}(2455)^{0,++} candidates are reconstructed via their decay to Λ_{c}^{+}π^{∓} and Λ_{c}^{+} decays to pK^{-}π^{+}, pK_{S}^{0}, and Λπ^{+} final states. The corresponding branching fractions are measured to be B(B[over ¯]^{0}→Σ_{c}(2455)^{0}π^{+}p[over ¯])=(1.09±0.06±0.07)×10^{-4} and B(B[over ¯]^{0}→Σ_{c}(2455)^{++}π^{-}p[over ¯])=(1.84±0.11±0.12)×10^{-4}, which are consistent with the world average values with improved precision. A new structure is found in the M_{Σ_{c}(2455)^{0,++}π^{±}} spectrum with a significance of 4.2σ including systematic uncertainty. The structure is possibly an excited Λ_{c}^{+} and is tentatively named Λ_{c}(2910)^{+}. Its mass and width are measured to be (2913.8±5.6±3.8) MeV/c^{2} and (51.8±20.0±18.8) MeV, respectively. The products of branching fractions for the Λ_{c}(2910)^{+} are measured to be B(B[over ¯]^{0}→Λ_{c}(2910)^{+}p[over ¯])×B(Λ_{c}(2910)^{+}→Σ_{c}(2455)^{0}π^{+})=(9.5±3.6±1.6)×10^{-6} and B(B[over ¯]^{0}→Λ_{c}(2910)^{+}p[over ¯])×B(Λ_{c}(2910)^{+}→Σ_{c}(2455)^{++}π^{-})=(1.24±0.35±0.10)×10^{-5}. Here, the first and second uncertainties are statistical and systematic, respectively.
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Li Z, Xia L, Li X, Guan Y, He H, Jin L. Body mass index and the risk of abdominal hernia: a Mendelian randomization study. Hernia 2022; 27:423-429. [PMID: 36441335 DOI: 10.1007/s10029-022-02703-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 10/21/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE Abdominal hernia (AH) is one of the most common clinical diseases. A large number of observational studies have found that obesity is an important risk factor for AH. However, the causal relationship between obesity and AH cannot be determined because of the clinical studies on AH induced by obesity are relatively few and only have some small- or medium-scale observational studies. Observational studies have so many confounding factors and reverse causality due to their shortcomings. From an evidence-based medicine perspective, they are not sufficiently convincing. Therefore, there is still a lack of high-quality, evidence-based medical evidence supporting a causal relationship between obesity and AH. A causal relationship between obesity and AH is also almost impossible to confirm by randomized controlled trials (RCTs). Our study based on Mendelian randomization (MR) may provide a higher level of evidence-based medical support for the relationship between obesity and AH. Body mass index (BMI) is the most common measure used for defining obesity. Finally, we employed two-sample Mendelian randomization (TSMR) to explore the causal relationship between BMI and AH. METHODS AH-related single nucleotide polymorphisms (SNPs) data were obtained from the FinnGen Biobank (FB), and BMI-related single nucleotide polymorphisms (SNPs) data were obtained from the UK Biobank (UKB). Genetic loci are used as instrumental variables (IVs), methods such as inverse variance weighted (IVW) were used for two-sample Mendelian randomization analysis, and the odds ratio (OR) value was used to evaluate the causal relationship between BMI and AH. RESULTS The results of the horizontal pleiotropy test were calculated by Egger-intercept method: p = 0.34 > 0.05. The Cochran Q test of MR-Egger method and IVW method showed heterogeneity P = 0.03 < 0.05, so the IVW random effect model was used as the gold standard. We found a genetically determined 1-standard deviation (SD) increment of BMI causally increased a 66.0% risk of AH (N = 371 SNPs, OR = 1.66, 95% CI 1.46-1.89, p = 1.55E-14) based on the IVW random effect model which was almost consistent with the results of other seven methods. CONCLUSIONS Our MR found genetic evidence for BMI and AH. The risk of developing AH increases with the number of BMI. This finding provides further evidence that maintaining a healthy BMI can prevent the development of AH. In addition, clinicians may need to focus on the potential risk of AH on some high-BMI patients.
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Affiliation(s)
- Z Li
- School of Clinical Medicine, Dali University, Dali, 671000, China
| | - L Xia
- School of Clinical Medicine, Dali University, Dali, 671000, China
| | - X Li
- College of Life Science, Shaanxi Normal University, Xi'an, 710000, China
| | - Y Guan
- The First Affiliated Hospital of Dali University, Dali, 671000, China
| | - H He
- The First Affiliated Hospital of Dali University, Dali, 671000, China
| | - L Jin
- The First Affiliated Hospital of Dali University, Dali, 671000, China.
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Li Y, Long H, Jiang G, Gong X, Yu Z, Huang M, Guan T, Guan Y, Liu X. Analysis of the ethanol stress response mechanism in Wickerhamomyces anomalus based on transcriptomics and metabolomics approaches. BMC Microbiol 2022; 22:275. [PMCID: PMC9664796 DOI: 10.1186/s12866-022-02691-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 11/02/2022] [Indexed: 11/16/2022] Open
Abstract
Abstract
Background
Wickerhamomyces anomalus (W. anomalus) is a kind of non-Saccharomyces yeast that has a variety of unique physiological characteristics and metabolic features and is widely used in many fields, such as food preservation, biomass energy, and aquaculture feed protein production. However, the mechanism of W. anomalus response to ethanol stress is still unclear, which greatly limits its application in the production of ethanol beverages and ethanol fuels. Therefore, we checked the effects of ethanol stress on the morphology, the growth, and differentially expressed genes (DEGs) and metabolites (DEMs) of W. anomalus.
Results
High concentrations of ethanol (9% ethanol and 12% ethanol) remarkably inhibited the growth of W. anomalus. Energy metabolism, amino acid metabolism, fatty acids metabolism, and nucleic acid metabolism were significantly influenced when exposing to 9% ethanol and 12% ethanolstress, which maybe universal for W. anomalus to response to different concentrations of ethanol stressl Furthermore, extracellular addition of aspartate, glutamate, and arginine significantly abated ethanol damage and improved the survival rate of W. anomalus.
Conclusions
The results obtained in this study provide insights into the mechanisms involved in W. anomalus response to ethanol stress. Therefore, new strategies can be realized to improve the ethanol tolerance of W. anomalus through metabolic engineering.
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Zhou M, Bu H, Wang D, Wang M, Guan Y, Sun X, Tian Z, Wang H. An Overview of Systematic Reviews: Acupuncture in the Treatment of Essential Hypertension. Int J Gen Med 2022; 15:8093-8109. [PMID: 36389015 PMCID: PMC9653068 DOI: 10.2147/ijgm.s387490] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 10/26/2022] [Indexed: 03/30/2024] Open
Abstract
OBJECTIVE Acupuncture treatment is widely used for essential hypertension (EH), and numerous systematic reviews on acupuncture for EH have been published. This article provides an overview of the effectiveness and safety of acupuncture for EH and assesses the quality of reports, methodological bias, quality of evidence and risk of bias for inclusion in the evaluation. METHODS Two researchers independently computer searched Pubmed, EMbase, The Cochrane library, WOS, CBM, CNKI, Wangfang Data, VIP and other Chinese and English databases with a search time frame from the date of creation to 13th October 2022; and independently screened systematic reviews of acupuncture therapy for EH; and finally The Report Quality Assessment Tool (PRISMA 2020), Methodological Quality Assessment Tool (AMSTAR2), Grading of Evidence Assessment Tool (GRADE), and Bias Assessment Tool (ROBIS) were used independently to assess the bias of the included literature. RESULTS A total of 11 systematic reviews were included. The included studies mainly reported on outcome indicators such as efficiency rate, end SBP, end DBP, SBP change value, DBP change value, etc. Deficiencies in the quality of PRISMA 2020 reporting were mainly in the areas of independent screening by multiple researchers, use of GRADE for analysis, early registration, description of conflict of interest, and public access to information; the results of the AMSTAR 2 tool evaluation were mostly were very low, and of the 16 entries affecting the methodological quality of the systematic evaluation, entries 2/3/4/5/12/16 had the greatest methodological bias; GRADE assessed the quality of evidence for key outcome indicators, with a few being low and all others being very low; and ROBIS reported a high level of bias in the literature. CONCLUSION Current acupuncture has some efficacy in the treatment of essential hypertension, but its quality of evidence is low. It is hoped that the quality of relevant literature reporting, methodological quality, quality of evidence, and bias will improve.
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Affiliation(s)
- Mi Zhou
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Huaien Bu
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Dongjun Wang
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Mengyang Wang
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Yuanyuan Guan
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Xuan Sun
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Zhikui Tian
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Hongwu Wang
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
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Tang R, Lei S, Wang S, Guan Y, Li H. A novel treatment workflow of idiopathic hypereosinophilic syndrome: a single-center retrospective cohort study. Chin Med J (Engl) 2022; 135:2602-2604. [PMID: 35866564 PMCID: PMC9945074 DOI: 10.1097/cm9.0000000000002086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Indexed: 01/26/2023] Open
Affiliation(s)
- Rui Tang
- Department of Allergy, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS and PUMC), Beijing 100730, China
| | - Shubin Lei
- Eight-Year Program of Clinical Medicine, PUMCH, CAMS and PUMC, Beijing 100730, China
| | - Shuyun Wang
- Department of Allergy, The First Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, Shandong 264099, China
| | - Yuanyuan Guan
- Department of Allergy, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150007, China
| | - Hong Li
- Department of Allergy, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS and PUMC), Beijing 100730, China
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Zhang Y, Niu G, Kong S, Wei F, Wang H, Dong Y, Yu L, Guan Y, Wang H, Yu X, Yin Z, Yuan Z. Predictive Model for the Radiotherapy Induced Rib Fracture (RIRF) after Stereotactic Body Radiotherapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Niu G, Zhang Y, Gao M, Zhao J, Wang H, Chen J, Guo X, Yu L, Guan Y, Dong Y, Yu X, Yin Z, Yuan Z, Kong S. Dosimetric Analysis of Radiation-Induced Brachial Plexopathy after Stereotactic Body Radiotherapy: The Contouring of Brachial Plexus Matters. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Peng S, Sang T, Wang H, Guan Y, Deng Y, Wang P, Huang Z, Ye Z, Wu J. Bioinspired Anti-demineralization Enamel Coating for Orthodontics. J Dent Res 2022; 101:1620-1627. [PMID: 36271659 DOI: 10.1177/00220345221129806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
White spot lesions and enamel cracks are the 2 most prominent diseases that occur after orthodontic treatment and are caused by enamel demineralization from accumulated bacterial biofilms and/or enamel damage caused by the removal of residual adhesive after bracket debonding. Inspired by the self-assembled amelogenin nanoribbons in enamel, we developed an enamel coating with a self-assembling antimicrobial peptide, D-GL13K, to simultaneously reduce demineralization and residual adhesive. The self-assembled amphiphilic nanoribbons significantly increased the hydrophobicity of the etched enamel, which reduced the permeability of the coated enamel surfaces as desired. The antimicrobial activity of this coating was evaluated against Streptococcus mutans by colony-forming unit counting and live/dead assays. The anti-demineralization effect was demonstrated by the reduced demineralization depth analyzed by optical coherence tomography and the increased Vickers hardness. The coatings did not reduce the shear bond strength but significantly reduced the adhesive remnant index score. This bioinspired enamel coating may provide a new strategy for preventing white spot lesions and enamel cracks after orthodontic treatment.
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Affiliation(s)
- S Peng
- School of Stomatology, Nanchang University, Nanchang, China.,The Key Laboratory of Oral Biomedicine and Jiangxi Province Clinical Research Center for Oral Diseases, Nanchang, China
| | - T Sang
- School of Stomatology, Nanchang University, Nanchang, China.,The Key Laboratory of Oral Biomedicine and Jiangxi Province Clinical Research Center for Oral Diseases, Nanchang, China
| | - H Wang
- School of Stomatology, Nanchang University, Nanchang, China.,The Key Laboratory of Oral Biomedicine and Jiangxi Province Clinical Research Center for Oral Diseases, Nanchang, China
| | - Y Guan
- School of Stomatology, Nanchang University, Nanchang, China.,The Key Laboratory of Oral Biomedicine and Jiangxi Province Clinical Research Center for Oral Diseases, Nanchang, China
| | - Y Deng
- School of Stomatology, Nanchang University, Nanchang, China.,The Key Laboratory of Oral Biomedicine and Jiangxi Province Clinical Research Center for Oral Diseases, Nanchang, China
| | - P Wang
- School of Stomatology, Nanchang University, Nanchang, China.,The Key Laboratory of Oral Biomedicine and Jiangxi Province Clinical Research Center for Oral Diseases, Nanchang, China
| | - Z Huang
- School of Stomatology, Nanchang University, Nanchang, China.,The Key Laboratory of Oral Biomedicine and Jiangxi Province Clinical Research Center for Oral Diseases, Nanchang, China
| | - Z Ye
- Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong S.A.R., China
| | - J Wu
- School of Stomatology, Nanchang University, Nanchang, China.,The Key Laboratory of Oral Biomedicine and Jiangxi Province Clinical Research Center for Oral Diseases, Nanchang, China
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35
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Wu Q, Guan Y, Xu CZ, Wang N, Liu X, Jiang F, Zhao Q, Sun YG, Zhao G, Jiang Y. [Relationship of serum uric acid with prediabetes and newly detected type 2 diabetes mellitus]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1603-1610. [PMID: 36456492 DOI: 10.3760/cma.j.cn112338-20220117-00041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Objective: To evaluate the relationship of serum uric acid with prediabetes and newly detected type 2 diabetes mellitus (T2DM) in adults. Methods: Data were obtained from the baseline investigation of Songjiang Peak-Plan cohort. According to the baseline fasting plasma glucose and glycosylated hemoglobin, the eligible subjects were divided into normal blood sugar group, prediabetes group, and newly detected T2DM group. Unconditional logistic regression model was used to explore the effect of serum uric acid level on prediabetes and newly detected T2DM, and restricted cubic spline (RCS) function was used to explore the nonlinear dose-response relationship of serum uric acid level with the prevalence of prediabetes and newly detected T2DM. Results: A total of 30 375 subjects were included in the analysis, with an average age of (55.36±11.52) years, and 60.2% (18 299) of them were women. The baseline survey found that the prevalence of prediabetes was 38.6% (11 739 cases), and the prevalence of newly detected T2DM was 6.6% (1 992 cases). Logistic regression analysis showed that, in women, for every 10µmol/L increase in serum uric acid, the risk of developing prediabetes and T2DM s increased by 2.4% (OR=1.024, 95%CI: 1.018-1.030), and 1.5% (OR=1.015, 95%CI: 1.005-1.025), respectively; in men, for every 10 µmol/L increase in serum uric acid, the risk of developing prediabetes and T2DM decreased by 0.8% (OR=0.992, 95%CI: 0.987-0.998) and 5.0% (OR=0.950, 95%CI: 0.939-0.960), respectively. The RCS function showed that the serum uric acid level showed a nonlinear dose-response relationship with newly detected T2DM (P=0.017), but not with prediabetes (P=0.670) in women and showed a nonlinear dose-response relationship with both prediabetes (P=0.040) and newly detected T2DM (P<0.001) in men. Conclusions: Adult women are at increased risk of prediabetes and newly detected T2DM with increase of serum uric acid level, and adult men are at decreased risk of newly diagnosed T2DM with the increase of serum uric acid level. There was no significant relationship between serum uric acid level and prediabetes in men.
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Affiliation(s)
- Q Wu
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Y Guan
- Songjiang District Center for Disease Control and Prevention of Shanghai, Shanghai 201620, China
| | - C Z Xu
- Songjiang District Center for Disease Control and Prevention of Shanghai, Shanghai 201620, China
| | - N Wang
- School of Public Health, Fudan University, Shanghai 200032, China
| | - X Liu
- School of Public Health, Fudan University, Shanghai 200032, China
| | - F Jiang
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Q Zhao
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Y G Sun
- Songjiang District Center for Disease Control and Prevention of Shanghai, Shanghai 201620, China
| | - Genming Zhao
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Yonggen Jiang
- Songjiang District Center for Disease Control and Prevention of Shanghai, Shanghai 201620, China
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Paprcka S, Sridhar S, Goshayeshi A, Park E, Liu S, Flores R, Rocha L, Miles D, Lamani M, Cho S, Wang N, Guan Y, Chandrasekar S, Kushwaha R, Jafri S, Kaplan A, Stagnaro E, Seitz L, Kline J, Fernandez-Salas E. AB801 is a potent and selective AXL inhibitor that demonstrates significant anti-tumor activity in combination with standard of care therapeutics. Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)01093-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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37
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Zhu Y, Luo Y, Guo F, Yang K, Fan H, Liu C, Huang B, Tang X, Guan Y. [Predictive value of serum HBV RNA for therapeutic effect of entecavir in patients with chronic hepatitis B]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:1250-1255. [PMID: 36073226 DOI: 10.12122/j.issn.1673-4254.2022.08.19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate the value of HBV RNA for predicting the therapeutic effect of long-term entecavir (ETV) antiviral therapy in patients with chronic hepatitis B (CHB). METHODS Serum samples were collected from 59 CHB patients treated with ETV for 96 or 108 months. HBV RNA levels, HBV DNA levels, and serological marker (HBeAg) levels were measured at baseline and 3, 6, 9, 12, 36, 72, and 96 (or 108) months during the therapy. RESULTS Although HBV RNA level decreased after 12 and 36 months of ETV antiviral therapy, no significance changes occurred in HBV RNA negative conversion rate (P>0.05). After 72 months of treatment or longer, 33 patients had HBV RNA levels lower than 100 copies/mL, and among them 29 patients had HBV RNA levels lower than the detection limit, and HBV RNA negative conversion rate was statistically significant (P < 0.05). A lower HBV RNA level was associated with a higher HBeAg negative conversion rate (P < 0.05). Age and HBV RNA level were positively correlated with HBeAg negative conversion rate (P < 0.05). CONCLUSION Prolonged ETV antiviral therapy results in better clearance of HBV RNA and a higher negative conversion rate in CHB patients. The length of antiviral therapy and age are positively correlated with the negative conversion rate of HBV RNA, and earlier administration of the antiviral treatment achieves better therapeutic effect. Serum HBV RNA level can be used as an indicator for predicting conversion to negative HBeAg in CHB patients receiving ETV therapy.
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Affiliation(s)
- Y Zhu
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
| | - Y Luo
- Guangzhou Hailite Biotechnoloty Co.Ltd, Guangzhou 510530, China
| | - F Guo
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
| | - K Yang
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
| | - H Fan
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
| | - C Liu
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
| | - B Huang
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
| | - X Tang
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
| | - Y Guan
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
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Wang Y, Guan Y, Wang B, Li X. Learning with partial multi-labeled data by leveraging low-rank constraint and decomposition. APPL INTELL 2022. [DOI: 10.1007/s10489-022-03989-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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39
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Hu P, Ren Y, Xu J, Wei Q, Song P, Guan Y, Gao H, Zhang Y, Hu H, Li C. Identification of ankyrin-transmembrane-type subfamily genes in Triticeae species reveals TaANKTM2A-5 regulates powdery mildew resistance in wheat. Front Plant Sci 2022; 13:943217. [PMID: 35937376 PMCID: PMC9353636 DOI: 10.3389/fpls.2022.943217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 07/04/2022] [Indexed: 06/15/2023]
Abstract
The ankyrin-transmembrane (ANKTM) subfamily is the most abundant subgroup of the ANK superfamily, with critical roles in pathogen defense. However, the function of ANKTM proteins in wheat immunity remains largely unexplored. Here, a total of 381 ANKTMs were identified from five Triticeae species and Arabidopsis, constituting five classes. Among them, class a only contains proteins from Triticeae species and the number of ANKTM in class a of wheat is significantly larger than expected, even after consideration of the ploidy level. Tandem duplication analysis of ANKTM indicates that Triticum urartu, Triticum dicoccoides and wheat all had experienced tandem duplication events which in wheat-produced ANKTM genes all clustered in class a. The above suggests that not only did the genome polyploidization result in the increase of ANKTM gene number, but that tandem duplication is also a mechanism for the expansion of this subfamily. Micro-collinearity analysis of Triticeae ANKTMs indicates that some ANKTM type genes evolved into other types of ANKs in the evolution process. Public RNA-seq data showed that most of the genes in class d and class e are expressed, and some of them show differential responses to biotic stresses. Furthermore, qRT-PCR results showed that some ANKTMs in class d and class e responded to powdery mildew. Silencing of TaANKTM2A-5 by barley stripe mosaic virus-induced gene silencing compromised powdery mildew resistance in common wheat Bainongaikang58. Findings in this study not only help to understand the evolutionary process of ANKTM genes, but also form the basis for exploring disease resistance genes in the ANKTM gene family.
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Affiliation(s)
- Ping Hu
- Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, College of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, China
| | - Yueming Ren
- Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, College of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, China
| | - Jun Xu
- College of Landscape Architecture and Horticulture, Henan Institute of Science and Technology, Xinxiang, China
| | - Qichao Wei
- Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, College of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, China
| | - Puwen Song
- Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, College of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, China
| | - Yuanyuan Guan
- Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, College of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, China
| | - Huanting Gao
- Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, College of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, China
| | - Yang Zhang
- Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, College of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, China
| | - Haiyan Hu
- Henan Engineering Research Center of Crop Genome Editing, Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, College of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, China
| | - Chengwei Li
- College of Biological Engineering, Henan University of Technology, Zhengzhou, China
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Dong Y, Zheng Y, Zhu L, Li T, Guan Y, Zhao S, Wang Q, Wang J, Li L. Hua-Tan-Sheng-Jing Decoction Treats Obesity With Oligoasthenozoospermia by Up-Regulating the PI3K-AKT and Down-Regulating the JNK MAPK Signaling Pathways: At the Crossroad of Obesity and Oligoasthenozoospermia. Front Pharmacol 2022; 13:896434. [PMID: 35559247 PMCID: PMC9086321 DOI: 10.3389/fphar.2022.896434] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 03/29/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Oligoasthenozoospermia is the leading cause of male infertility, seriously affecting men's health and increasing the societal medical burden. In recent years, obesity-related oligoasthenozoospermia has attracted increased attention from researchers to find a cure. This study aimed to evaluate the efficacy of Hua-Tan-Sheng-Jing decoction (HTSJD) in treating obesity with oligoasthenozoospermia, determine its active ingredients and identify its mechanism of action. Methods: The ingredients of HTSJD were determined by combining the ultra-performance liquid chromatography with mass spectrometry (UPLC-MS/MS) and systems pharmacology approach. The common pathogenesis of obesity and oligoasthenozoospermia and the potential mechanism of HTSJD against obesity with oligoasthenozoospermia were obtained through target fishing, network construction, and enrichment analyses. Further, molecular docking of the key ingredients with the upstream receptors of the key signaling pathways of the potential mechanism was used to predict their affinity. Finally, high-fat-induced obesity with oligoasthenozoospermia rat model was constructed to determine the effects of HTSJD on semen concentration, sperm motility, body weight, and serum lipid metabolism. The key proteins were validated by immunohistochemistry (IHC). Results: A total of 70 effective components and 847 potential targets of HTSJD (H targets) were identified, of which 743 were common targets related to obesity and oligoasthenozoospermia (O-O targets) mainly enriched in the pathways related to inflammation, oxidative stress and hormone regulation. Finally, 143 common targets (H-O-O targets) for HTSJD against obesity with oligoasthenozoospermia were obtained. Combining the hub genes and the results of Gene Ontology (GO) functional and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of H-O-O targets, PI3K-AKT and MAPK signaling pathways were identified as the key pathways. Molecular docking results showed that Diosgenin, Kaempferol, Quercetin, Hederagenin, Isorhamnetin may act on the related pathways by docking EGFR, IGF1R and INSR. The animal-based in vivo experiments confirmed that HTSJD improves the sperm quality of high-fat diet-fed rats by reducing their body weight and blood lipid levels, influencing the PI3K-AKT and MAPK signaling pathways and altering the corresponding protein expressions. Conclusion: HTSJD treats obesity with oligoasthenozoospermia by up-regulating the PI3K-AKT signaling pathway and down-regulating the MAPK signaling pathway, which are at the crossroad of obesity and oligoasthenozoospermia.
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Affiliation(s)
- Yang Dong
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.,National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Yanfei Zheng
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Linghui Zhu
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.,National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Tianxing Li
- Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yuanyuan Guan
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.,National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Shipeng Zhao
- Graduate School, China Academy of Chinese Medical Sciences, Beijing, China
| | - Qi Wang
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Ji Wang
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Lingru Li
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
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Wu L, Yu Y, Hu H, Tao Y, Song P, Li D, Guan Y, Gao H, Sui X, Volodymyr T, Volodymyr V, Zhatova H, Li C. New SFT2-like Vesicle Transport Protein (SFT2L) Enhances Cadmium Tolerance and Reduces Cadmium Accumulation in Common Wheat Grains. J Agric Food Chem 2022; 70:5526-5540. [PMID: 35484643 DOI: 10.1021/acs.jafc.1c08021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Cadmium (Cd) is one of the most toxic heavy metal elements to the environment, which seriously threatens the safe production of food crops. In this study, we identified a novel function of the cytomembrane TaSFT2L protein in wheat (Triticum aestivum). Expression of the TaSFT2L gene in yeast showed no transport activities for Cd, which could explain the role of TaSFT2L in metal tolerance. It was observed that increased autophagic activity in roots caused by silencing of TaSFT2L enhanced Cd tolerance. Transgenic wheat revealed that RNA interference (RNAi) lines enhanced the wheat growth concerning the increased shoot or root elongation, dry weight, and chlorophyll accumulation. Furthermore, RNAi lines decreased root-to-grain Cd translocation in wheat by nearly 68% and Cd accumulation in wheat grains by 53%. Meanwhile, the overexpression lines displayed a compromised growth response and increased Cd accumulation in wheat tissues, compared to wild type. These findings show that TaSFT2L is a key gene involved in regulation of Cd translocation in wheat, and its silencing to form transgenic wheat can inhibit Cd accumulation. This has the ability to alleviate the food chain-associated impact of environmental pollution on human health.
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Affiliation(s)
- Liuliu Wu
- College of Life Science and Technology/Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation/Collaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China
- Sumy National Agrarian University, Sumy 40021, Ukraine
| | - Yongang Yu
- College of Life Science and Technology/Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation/Collaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Haiyan Hu
- College of Life Science and Technology/Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation/Collaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Ye Tao
- College of Life Science and Technology/Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation/Collaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China
- Sumy National Agrarian University, Sumy 40021, Ukraine
| | - Puwen Song
- College of Life Science and Technology/Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation/Collaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Dongxiao Li
- College of Life Science and Technology/Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation/Collaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Yuanyuan Guan
- College of Life Science and Technology/Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation/Collaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Huanting Gao
- College of Life Science and Technology/Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation/Collaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Xiaotian Sui
- College of Life Science and Technology/Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation/Collaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China
| | | | | | | | - Chengwei Li
- College of Life Science and Technology/Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation/Collaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China
- College of Biological Engineering, Henan University of Technology, Zhengzhou 450000, China
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Guan Y, Yan X, Fang Z, Ren S. Mathematical model and experiment analysis of pressure fluctuation inside dual-stack drainage system in residential buildings. Water Sci Technol 2022; 85:3145-3158. [PMID: 35638810 DOI: 10.2166/wst.2022.160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The final velocity was put forward to study the water flow characteristics inside the building drainage system; however, it is more suitable for low-rise and multi-storey buildings, not for high-rise buildings. This study revealed the drainage transient characteristics of a double stack drainage system in high-rise residential buildings. Based on the final velocity, the air-water interaction mechanism and two-phase flow conditions in high-rise residential drainage stacks were discussed. An influence model of drainage system flow rate on pressure fluctuation under the change of state parameters such as ventilation rate, pipe wall roughness and building height was established. The pressure limit and flow rate data were obtained through full-scale experiments. The pressure limit and flow rate model were simplified to Pn = A ċ Q2 + B ċ Q1:81 + C. After the data were verified, the fitting coefficients A, B and C were linear to the floor height.
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Affiliation(s)
- Y Guan
- School of Civil Engineering, Wuhan University, Wuhan, Hubei Province 430072, China E-mail:
| | - X Yan
- School of Civil Engineering, Wuhan University, Wuhan, Hubei Province 430072, China E-mail:
| | - Z Fang
- School of Civil Engineering, Wuhan University, Wuhan, Hubei Province 430072, China E-mail:
| | - S Ren
- Shanxi Xuanshi Industrial Group Company, Gaoping, Shanxi Province 048411, China
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43
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Guan Y, Wang Y, Zheng D, Xie B, Xu P, Gao G, Zhong X. Generation of an RCVRN-eGFP Reporter hiPSC Line by CRISPR/Cas9 to Monitor Photoreceptor Cell Development and Facilitate the Cell Enrichment for Transplantation. Front Cell Dev Biol 2022; 10:870441. [PMID: 35573687 PMCID: PMC9096726 DOI: 10.3389/fcell.2022.870441] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 03/21/2022] [Indexed: 11/13/2022] Open
Abstract
Stem cell-based cell therapies are considered to be promising treatments for retinal disorders with dysfunction or death of photoreceptors. However, the enrichment of human photoreceptors suitable for transplantation has been highly challenging so far. This study aimed to generate a photoreceptor-specific reporter human induced pluripotent stem cell (hiPSC) line using CRISPR/Cas9 genome editing, which harbored an enhanced green fluorescent protein (eGFP) sequence at the endogenous locus of the pan photoreceptor marker recoverin (RCVRN). After confirmation of successful targeting and gene stability, three-dimensional retinal organoids were induced from this reporter line. The RCVRN-eGFP reporter faithfully replicated endogenous protein expression of recoverin and revealed the developmental characteristics of photoreceptors during retinal differentiation. The RCVRN-eGFP specifically and steadily labeled photoreceptor cells from photoreceptor precursors to mature rods and cones. Additionally, abundant eGFP-positive photoreceptors were enriched by fluorescence-activated cell sorting, and their transcriptome signatures were revealed by RNA sequencing and data analysis. Moreover, potential clusters of differentiation (CD) biomarkers were extracted for the enrichment of photoreceptors for clinical applications, such as CD133 for the positive selection of photoreceptors. Altogether, the RCVRN-eGFP reporter hiPSC line was successfully established and the first global expression database of recoverin-positive photoreceptors was constructed. These achievements will provide a powerful tool for dynamically monitoring photoreceptor cell development and purification of human photoreceptors, thus facilitating photoreceptor cell therapy for advanced retinal disorders.
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Jia S, Shen CP, Adachi I, Aihara H, Al Said S, Asner DM, Atmacan H, Aushev T, Ayad R, Babu V, Behera P, Belous K, Bennett J, Bessner M, Bhardwaj V, Bhuyan B, Bilka T, Bobrov A, Bodrov D, Bonvicini G, Borah J, Bračko M, Branchini P, Browder TE, Budano A, Campajola M, Červenkov D, Chang MC, Chang P, Chekelian V, Chen A, Cheon BG, Chilikin K, Cho HE, Cho K, Cho SJ, Choi SK, Choi Y, Choudhury S, Cinabro D, Cunliffe S, Das S, Dash N, De Nardo G, De Pietro G, Dhamija R, Di Capua F, Doležal Z, Dong TV, Epifanov D, Ferber T, Ferlewicz D, Fulsom BG, Garg R, Gaur V, Gabyshev N, Giri A, Goldenzweig P, Golob B, Graziani E, Guan Y, Gudkova K, Hadjivasiliou C, Hara T, Hayasaka K, Hayashii H, Hedges MT, Hou WS, Inami K, Inguglia G, Ishikawa A, Itoh R, Iwasaki M, Iwasaki Y, Jacobs WW, Jang EJ, Jin Y, Joo KK, Kahn J, Kaliyar AB, Kang KH, Kawasaki T, Kiesling C, Kim CH, Kim DY, Kim KH, Kim YK, Kinoshita K, Kodyš P, Kohani S, Konno T, Korobov A, Korpar S, Kovalenko E, Križan P, Kroeger R, Krokovny P, Kumar M, Kumar R, Kumara K, Kwon YJ, Lam T, Laurenza M, Lee SC, Li J, Li LK, Li Y, Li YB, Li Gioi L, Libby J, Lieret K, Liventsev D, Martini A, Masuda M, Matsuda T, Matvienko D, Maurya SK, Meier F, Merola M, Metzner F, Miyabayashi K, Mizuk R, Mohanty GB, Mussa R, Nakao M, Narwal D, Natkaniec Z, Natochii A, Nayak L, Nisar NK, Nishida S, Nishimura K, Ogawa K, Ogawa S, Ono H, Oskin P, Pakhlov P, Pakhlova G, Pang T, Pardi S, Park SH, Patra S, Paul S, Pedlar TK, Pestotnik R, Piilonen LE, Podobnik T, Prencipe E, Prim MT, Röhrken M, Rostomyan A, Rout N, Russo G, Sahoo D, Sandilya S, Sangal A, Santelj L, Sanuki T, Savinov V, Schnell G, Schueler J, Schwanda C, Seino Y, Senyo K, Sevior ME, Shapkin M, Sharma C, Shebalin V, Shiu JG, Shwartz B, Singh JB, Sokolov A, Solovieva E, Stanič S, Starič M, Stottler ZS, Sumihama M, Sumisawa K, Sumiyoshi T, Sutcliffe W, Takizawa M, Tamponi U, Tanida K, Tenchini F, Trabelsi K, Uchida M, Uehara S, Uglov T, Unno Y, Uno K, Uno S, Urquijo P, Vahsen SE, Van Tonder R, Varner G, Vinokurova A, Waheed E, Wang D, Wang E, Wang MZ, Watanuki S, Won E, Yabsley BD, Yan W, Yang SB, Ye H, Yelton J, Yin JH, Yusa Y, Zhai Y, Zhang ZP, Zhilich V, Zhukova V. Search for a Light Higgs Boson in Single-Photon Decays of ϒ(1S) Using ϒ(2S)→π^{+}π^{-}ϒ(1S) Tagging Method. Phys Rev Lett 2022; 128:081804. [PMID: 35275679 DOI: 10.1103/physrevlett.128.081804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 01/26/2022] [Indexed: 06/14/2023]
Abstract
We search for a light Higgs boson (A^{0}) decaying into a τ^{+}τ^{-} or μ^{+}μ^{-} pair in the radiative decays of ϒ(1S). The production of ϒ(1S) mesons is tagged by ϒ(2S)→π^{+}π^{-}ϒ(1S) transitions, using 158×10^{6} ϒ(2S) events accumulated with the Belle detector at the KEKB asymmetric energy electron-positron collider. No significant A^{0} signals in the mass range from the τ^{+}τ^{-} or μ^{+}μ^{-} threshold to 9.2 GeV/c^{2} are observed. We set the upper limits at 90% credibility level (C.L.) on the product branching fractions for ϒ(1S)→γA^{0} and A^{0}→τ^{+}τ^{-} varying from 3.8×10^{-6} to 1.5×10^{-4}. Our results represent an approximately twofold improvement on the current world best upper limits for the ϒ(1S)→γA^{0}(→τ^{+}τ^{-}) production. For A^{0}→μ^{+}μ^{-}, the upper limits on the product branching fractions for ϒ(1S)→γA^{0} and A^{0}→μ^{+}μ^{-} are at the same level as the world average limits, and vary from 3.1×10^{-7} to 1.6×10^{-5}. The upper limits at 90% credibility level on the Yukawa coupling f_{ϒ(1S)} and mixing angle sinθ_{A^{0}} are also given.
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Affiliation(s)
- S Jia
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics, Fudan University, Shanghai 200443
| | - C P Shen
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics, Fudan University, Shanghai 200443
| | - I Adachi
- SOKENDAI (The Graduate University for Advanced Studies), Hayama 240-0193
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801
| | - H Aihara
- Department of Physics, University of Tokyo, Tokyo 113-0033
| | - S Al Said
- Department of Physics, Faculty of Science, King Abdulaziz University, Jeddah 21589
- Department of Physics, Faculty of Science, University of Tabuk, Tabuk 71451
| | - D M Asner
- Brookhaven National Laboratory, Upton, New York 11973
| | - H Atmacan
- University of Cincinnati, Cincinnati, Ohio 45221
| | - T Aushev
- National Research University Higher School of Economics, Moscow 101000
| | - R Ayad
- Department of Physics, Faculty of Science, University of Tabuk, Tabuk 71451
| | - V Babu
- Deutsches Elektronen-Synchrotron, 22607 Hamburg
| | - P Behera
- Indian Institute of Technology, Madras, Chennai 600036
| | - K Belous
- Institute for High Energy Physics, Protvino 142281
| | - J Bennett
- University of Mississippi, University, Mississippi 38677
| | - M Bessner
- University of Hawaii, Honolulu, Hawaii 96822
| | - V Bhardwaj
- Indian Institute of Science Education and Research Mohali, SAS Nagar, 140306
| | - B Bhuyan
- Indian Institute of Technology, Guwahati, Assam 781039
| | - T Bilka
- Faculty of Mathematics and Physics, Charles University, 121 16 Prague
| | - A Bobrov
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090
- Novosibirsk State University, Novosibirsk 630090
| | - D Bodrov
- National Research University Higher School of Economics, Moscow 101000
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991
| | - G Bonvicini
- Wayne State University, Detroit, Michigan 48202
| | - J Borah
- Indian Institute of Technology, Guwahati, Assam 781039
| | - M Bračko
- J. Stefan Institute, 1000 Ljubljana
- Faculty of Chemistry and Chemical Engineering, University of Maribor, 2000 Maribor
| | | | - T E Browder
- University of Hawaii, Honolulu, Hawaii 96822
| | - A Budano
- INFN-Sezione di Roma Tre, I-00146 Roma
| | - M Campajola
- INFN-Sezione di Napoli, I-80126 Napoli
- Università di Napoli Federico II, I-80126 Napoli
| | - D Červenkov
- Faculty of Mathematics and Physics, Charles University, 121 16 Prague
| | - M-C Chang
- Department of Physics, Fu Jen Catholic University, Taipei 24205
| | - P Chang
- Department of Physics, National Taiwan University, Taipei 10617
| | - V Chekelian
- Max-Planck-Institut für Physik, 80805 München
| | - A Chen
- National Central University, Chung-li 32054
| | - B G Cheon
- Department of Physics and Institute of Natural Sciences, Hanyang University, Seoul 04763
| | - K Chilikin
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991
| | - H E Cho
- Department of Physics and Institute of Natural Sciences, Hanyang University, Seoul 04763
| | - K Cho
- Korea Institute of Science and Technology Information, Daejeon 34141
| | - S-J Cho
- Yonsei University, Seoul 03722
| | - S-K Choi
- Chung-Ang University, Seoul 06974
| | - Y Choi
- Sungkyunkwan University, Suwon 16419
| | | | - D Cinabro
- Wayne State University, Detroit, Michigan 48202
| | - S Cunliffe
- Deutsches Elektronen-Synchrotron, 22607 Hamburg
| | - S Das
- Malaviya National Institute of Technology Jaipur, Jaipur 302017
| | - N Dash
- Indian Institute of Technology, Madras, Chennai 600036
| | - G De Nardo
- INFN-Sezione di Napoli, I-80126 Napoli
- Università di Napoli Federico II, I-80126 Napoli
| | | | - R Dhamija
- Indian Institute of Technology, Hyderabad, Telangana 502285
| | - F Di Capua
- INFN-Sezione di Napoli, I-80126 Napoli
- Università di Napoli Federico II, I-80126 Napoli
| | - Z Doležal
- Faculty of Mathematics and Physics, Charles University, 121 16 Prague
| | - T V Dong
- Institute of Theoretical and Applied Research (ITAR), Duy Tan University, Hanoi 100000
| | - D Epifanov
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090
- Novosibirsk State University, Novosibirsk 630090
| | - T Ferber
- Deutsches Elektronen-Synchrotron, 22607 Hamburg
| | - D Ferlewicz
- School of Physics, University of Melbourne, Victoria 3010
| | - B G Fulsom
- Pacific Northwest National Laboratory, Richland, Washington 99352
| | - R Garg
- Panjab University, Chandigarh 160014
| | - V Gaur
- Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061
| | - N Gabyshev
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090
- Novosibirsk State University, Novosibirsk 630090
| | - A Giri
- Indian Institute of Technology, Hyderabad, Telangana 502285
| | - P Goldenzweig
- Institut für Experimentelle Teilchenphysik, Karlsruher Institut für Technologie, 76131 Karlsruhe
| | - B Golob
- J. Stefan Institute, 1000 Ljubljana
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana
| | | | - Y Guan
- University of Cincinnati, Cincinnati, Ohio 45221
| | - K Gudkova
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090
- Novosibirsk State University, Novosibirsk 630090
| | - C Hadjivasiliou
- Pacific Northwest National Laboratory, Richland, Washington 99352
| | - T Hara
- SOKENDAI (The Graduate University for Advanced Studies), Hayama 240-0193
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801
| | | | | | - M T Hedges
- University of Hawaii, Honolulu, Hawaii 96822
| | - W-S Hou
- Department of Physics, National Taiwan University, Taipei 10617
| | - K Inami
- Graduate School of Science, Nagoya University, Nagoya 464-8602
| | - G Inguglia
- Institute of High Energy Physics, Vienna 1050
| | - A Ishikawa
- SOKENDAI (The Graduate University for Advanced Studies), Hayama 240-0193
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801
| | - R Itoh
- SOKENDAI (The Graduate University for Advanced Studies), Hayama 240-0193
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801
| | - M Iwasaki
- Osaka City University, Osaka 558-8585
| | - Y Iwasaki
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408
| | - E-J Jang
- Gyeongsang National University, Jinju 52828
| | - Y Jin
- Department of Physics, University of Tokyo, Tokyo 113-0033
| | - K K Joo
- Chonnam National University, Gwangju 61186
| | - J Kahn
- Institut für Experimentelle Teilchenphysik, Karlsruher Institut für Technologie, 76131 Karlsruhe
| | - A B Kaliyar
- Tata Institute of Fundamental Research, Mumbai 400005
| | - K H Kang
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Kashiwa 277-8583
| | - T Kawasaki
- Kitasato University, Sagamihara 252-0373
| | - C Kiesling
- Max-Planck-Institut für Physik, 80805 München
| | - C H Kim
- Department of Physics and Institute of Natural Sciences, Hanyang University, Seoul 04763
| | - D Y Kim
- Soongsil University, Seoul 06978
| | - K-H Kim
- Yonsei University, Seoul 03722
| | - Y-K Kim
- Yonsei University, Seoul 03722
| | - K Kinoshita
- University of Cincinnati, Cincinnati, Ohio 45221
| | - P Kodyš
- Faculty of Mathematics and Physics, Charles University, 121 16 Prague
| | - S Kohani
- University of Hawaii, Honolulu, Hawaii 96822
| | - T Konno
- Kitasato University, Sagamihara 252-0373
| | - A Korobov
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090
- Novosibirsk State University, Novosibirsk 630090
| | - S Korpar
- J. Stefan Institute, 1000 Ljubljana
- Faculty of Chemistry and Chemical Engineering, University of Maribor, 2000 Maribor
| | - E Kovalenko
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090
- Novosibirsk State University, Novosibirsk 630090
| | - P Križan
- J. Stefan Institute, 1000 Ljubljana
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana
| | - R Kroeger
- University of Mississippi, University, Mississippi 38677
| | - P Krokovny
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090
- Novosibirsk State University, Novosibirsk 630090
| | - M Kumar
- Malaviya National Institute of Technology Jaipur, Jaipur 302017
| | - R Kumar
- Punjab Agricultural University, Ludhiana 141004
| | - K Kumara
- Wayne State University, Detroit, Michigan 48202
| | | | - T Lam
- Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061
| | - M Laurenza
- INFN-Sezione di Roma Tre, I-00146 Roma
- Dipartimento di Matematica e Fisica, Università di Roma Tre, I-00146 Roma
| | - S C Lee
- Kyungpook National University, Daegu 41566
| | - J Li
- Kyungpook National University, Daegu 41566
| | - L K Li
- University of Cincinnati, Cincinnati, Ohio 45221
| | - Y Li
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics, Fudan University, Shanghai 200443
| | - Y B Li
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics, Fudan University, Shanghai 200443
| | - L Li Gioi
- Max-Planck-Institut für Physik, 80805 München
| | - J Libby
- Indian Institute of Technology, Madras, Chennai 600036
| | - K Lieret
- Ludwig Maximilians University, 80539 Munich
| | - D Liventsev
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801
- Wayne State University, Detroit, Michigan 48202
| | - A Martini
- Deutsches Elektronen-Synchrotron, 22607 Hamburg
| | - M Masuda
- Research Center for Nuclear Physics, Osaka University, Osaka 567-0047
- Earthquake Research Institute, University of Tokyo, Tokyo 113-0032
| | - T Matsuda
- University of Miyazaki, Miyazaki 889-2192
| | - D Matvienko
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991
- Novosibirsk State University, Novosibirsk 630090
| | - S K Maurya
- Indian Institute of Technology, Guwahati, Assam 781039
| | - F Meier
- Duke University, Durham, North Carolina 27708
| | - M Merola
- INFN-Sezione di Napoli, I-80126 Napoli
- Università di Napoli Federico II, I-80126 Napoli
| | - F Metzner
- Institut für Experimentelle Teilchenphysik, Karlsruher Institut für Technologie, 76131 Karlsruhe
| | | | - R Mizuk
- National Research University Higher School of Economics, Moscow 101000
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991
| | - G B Mohanty
- Tata Institute of Fundamental Research, Mumbai 400005
| | - R Mussa
- INFN-Sezione di Torino, I-10125 Torino
| | - M Nakao
- SOKENDAI (The Graduate University for Advanced Studies), Hayama 240-0193
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801
| | - D Narwal
- Indian Institute of Technology, Guwahati, Assam 781039
| | - Z Natkaniec
- H. Niewodniczanski Institute of Nuclear Physics, Krakow 31-342
| | - A Natochii
- University of Hawaii, Honolulu, Hawaii 96822
| | - L Nayak
- Indian Institute of Technology, Hyderabad, Telangana 502285
| | - N K Nisar
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Nishida
- SOKENDAI (The Graduate University for Advanced Studies), Hayama 240-0193
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801
| | - K Nishimura
- University of Hawaii, Honolulu, Hawaii 96822
| | - K Ogawa
- Niigata University, Niigata 950-2181
| | - S Ogawa
- Toho University, Funabashi 274-8510
| | - H Ono
- Nippon Dental University, Niigata 951-8580
- Niigata University, Niigata 950-2181
| | - P Oskin
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991
| | - P Pakhlov
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991
- Moscow Physical Engineering Institute, Moscow 115409
| | - G Pakhlova
- National Research University Higher School of Economics, Moscow 101000
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991
| | - T Pang
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260
| | - S Pardi
- INFN-Sezione di Napoli, I-80126 Napoli
| | - S-H Park
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801
| | - S Patra
- Indian Institute of Science Education and Research Mohali, SAS Nagar, 140306
| | - S Paul
- Max-Planck-Institut für Physik, 80805 München
- Department of Physics, Technische Universität München, 85748 Garching
| | | | | | - L E Piilonen
- Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061
| | - T Podobnik
- J. Stefan Institute, 1000 Ljubljana
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana
| | | | | | - M Röhrken
- Deutsches Elektronen-Synchrotron, 22607 Hamburg
| | - A Rostomyan
- Deutsches Elektronen-Synchrotron, 22607 Hamburg
| | - N Rout
- Indian Institute of Technology, Madras, Chennai 600036
| | - G Russo
- Università di Napoli Federico II, I-80126 Napoli
| | - D Sahoo
- Iowa State University, Ames, Iowa 50011
| | - S Sandilya
- Indian Institute of Technology, Hyderabad, Telangana 502285
| | - A Sangal
- University of Cincinnati, Cincinnati, Ohio 45221
| | - L Santelj
- J. Stefan Institute, 1000 Ljubljana
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana
| | - T Sanuki
- Department of Physics, Tohoku University, Sendai 980-8578
| | - V Savinov
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260
| | - G Schnell
- Department of Physics, University of the Basque Country UPV/EHU, 48080 Bilbao
- IKERBASQUE, Basque Foundation for Science, 48013 Bilbao
| | - J Schueler
- University of Hawaii, Honolulu, Hawaii 96822
| | - C Schwanda
- Institute of High Energy Physics, Vienna 1050
| | - Y Seino
- Niigata University, Niigata 950-2181
| | - K Senyo
- Yamagata University, Yamagata 990-8560
| | - M E Sevior
- School of Physics, University of Melbourne, Victoria 3010
| | - M Shapkin
- Institute for High Energy Physics, Protvino 142281
| | - C Sharma
- Malaviya National Institute of Technology Jaipur, Jaipur 302017
| | - V Shebalin
- University of Hawaii, Honolulu, Hawaii 96822
| | - J-G Shiu
- Department of Physics, National Taiwan University, Taipei 10617
| | - B Shwartz
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090
- Novosibirsk State University, Novosibirsk 630090
| | - J B Singh
- Panjab University, Chandigarh 160014
| | - A Sokolov
- Institute for High Energy Physics, Protvino 142281
| | - E Solovieva
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991
| | - S Stanič
- University of Nova Gorica, 5000 Nova Gorica
| | - M Starič
- J. Stefan Institute, 1000 Ljubljana
| | - Z S Stottler
- Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061
| | - M Sumihama
- Gifu University, Gifu 501-1193
- Research Center for Nuclear Physics, Osaka University, Osaka 567-0047
| | - K Sumisawa
- SOKENDAI (The Graduate University for Advanced Studies), Hayama 240-0193
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801
| | - T Sumiyoshi
- Tokyo Metropolitan University, Tokyo 192-0397
| | | | - M Takizawa
- J-PARC Branch, KEK Theory Center, High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801
- Meson Science Laboratory, Cluster for Pioneering Research, RIKEN, Saitama 351-0198
- Showa Pharmaceutical University, Tokyo 194-8543
| | - U Tamponi
- INFN-Sezione di Torino, I-10125 Torino
| | - K Tanida
- Advanced Science Research Center, Japan Atomic Energy Agency, Naka 319-1195
| | - F Tenchini
- Deutsches Elektronen-Synchrotron, 22607 Hamburg
| | - K Trabelsi
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay
| | - M Uchida
- Tokyo Institute of Technology, Tokyo 152-8550
| | - S Uehara
- SOKENDAI (The Graduate University for Advanced Studies), Hayama 240-0193
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801
| | - T Uglov
- National Research University Higher School of Economics, Moscow 101000
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991
| | - Y Unno
- Department of Physics and Institute of Natural Sciences, Hanyang University, Seoul 04763
| | - K Uno
- Niigata University, Niigata 950-2181
| | - S Uno
- SOKENDAI (The Graduate University for Advanced Studies), Hayama 240-0193
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801
| | - P Urquijo
- School of Physics, University of Melbourne, Victoria 3010
| | - S E Vahsen
- University of Hawaii, Honolulu, Hawaii 96822
| | | | - G Varner
- University of Hawaii, Honolulu, Hawaii 96822
| | - A Vinokurova
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090
- Novosibirsk State University, Novosibirsk 630090
| | - E Waheed
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801
| | - D Wang
- University of Florida, Gainesville, Florida 32611
| | - E Wang
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260
| | - M-Z Wang
- Department of Physics, National Taiwan University, Taipei 10617
| | | | - E Won
- Korea University, Seoul 02841
| | - B D Yabsley
- School of Physics, University of Sydney, New South Wales 2006
| | - W Yan
- Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026
| | | | - H Ye
- Deutsches Elektronen-Synchrotron, 22607 Hamburg
| | - J Yelton
- University of Florida, Gainesville, Florida 32611
| | - J H Yin
- Korea University, Seoul 02841
| | - Y Yusa
- Niigata University, Niigata 950-2181
| | - Y Zhai
- Iowa State University, Ames, Iowa 50011
| | - Z P Zhang
- Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026
| | - V Zhilich
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090
- Novosibirsk State University, Novosibirsk 630090
| | - V Zhukova
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991
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Wang D, Xu C, Yang W, Chen J, Ou Y, Guan Y, Guan J, Liu Y. E3 ligase RNF167 and deubiquitinase STAMBPL1 modulate mTOR and cancer progression. Mol Cell 2022; 82:770-784.e9. [PMID: 35114100 DOI: 10.1016/j.molcel.2022.01.002] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 11/15/2021] [Accepted: 12/29/2021] [Indexed: 12/16/2022]
Abstract
The mTOR complex 1 (mTORC1) is an essential metabolic hub that coordinates cellular metabolism with the availability of nutrients, including amino acids. Sestrin2 has been identified as a cytosolic leucine sensor that transmits leucine status signals to mTORC1. In this study, we identify an E3 ubiquitin ligase RING finger protein 167 (RNF167) and a deubiquitinase STAMBPL1 that function in concert to control the polyubiquitination level of Sestrin2 in response to leucine availability. Ubiquitination of Sestrin2 promotes its interaction with GATOR2 and inhibits mTORC1 signaling. Bioinformatic analysis reveals decreased RNF167 expression and increased STAMBPL1 expression in gastric and colorectal tumors. Knockout of STAMBPL1 or correction of the heterozygous STAMBPL1 mutation in a human colon cancer cell line suppresses xenograft tumor growth. Lastly, a cell-permeable peptide that blocks the STAMBPL1-Sestrin2 interaction inhibits mTORC1 and provides a potential option for cancer therapy.
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Affiliation(s)
- Dong Wang
- State Key Laboratory of Membrane Biology, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China
| | - Chenchen Xu
- State Key Laboratory of Membrane Biology, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China
| | - Wenyu Yang
- Yuan Pei College, Peking University, Beijing 100871, China
| | - Jie Chen
- State Key Laboratory of Membrane Biology, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China
| | - Yuhui Ou
- State Key Laboratory of Membrane Biology, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China
| | - Yuanyuan Guan
- State Key Laboratory of Membrane Biology, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China
| | - Jialiang Guan
- PKU-Tsinghua-NIBS Graduate Program, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Ying Liu
- State Key Laboratory of Membrane Biology, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China; Beijing Advanced Innovation Center for Genomics, Beijing 100871, China.
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Gao X, Li Y, Shen C, Adachi I, Aihara H, Asner D, Atmacan H, Aushev T, Ayad R, Behera P, Belous K, Bessner M, Bhardwaj V, Bhuyan B, Bilka T, Bobrov A, Bodrov D, Bonvicini G, Borah J, Bozek A, Bračko M, Browder T, Budano A, Campajola M, Červenkov D, Chang MC, Chang P, Chen A, Cheon B, Chilikin K, Cho H, Cho K, Cho SJ, Choi SK, Choi Y, Choudhury S, Cinabro D, Cunliffe S, Das S, De Pietro G, Dhamija R, Di Capua F, Dingfelder J, Doležal Z, Dong T, Dossett D, Epifanov D, Ferber T, Frey A, Fulsom B, Garg R, Gaur V, Gabyshev N, Giri A, Goldenzweig P, Gu T, Guan Y, Gudkova K, Hadjivasiliou C, Halder S, Hartbrich O, Hayasaka K, Hayashii H, Hedges M, Hou WS, Hsu CL, Iijima T, Inami K, Inguglia G, Ishikawa A, Itoh R, Iwasaki M, Iwasaki Y, Jacobs W, Jang EJ, Jia S, Jin Y, Joo K, Kahn J, Kaliyar A, Kang K, Karyan G, Kawasaki T, Kichimi H, Kiesling C, Kim C, Kim D, Kim KH, Kim YK, Kodyš P, Konno T, Korobov A, Korpar S, Kovalenko E, Križan P, Kroeger R, Krokovny P, Kuhr T, Kumar R, Kumara K, Kuzmin A, Kwon YJ, Lai YT, Lam T, Lange J, Laurenza M, Lee S, Li C, Li J, Li L, Li Y, Li Gioi L, Libby J, Lieret K, Liventsev D, Martini A, Masuda M, Matsuda T, Matvienko D, Maurya S, Meier F, Merola M, Metzner F, Miyabayashi K, Mizuk R, Mohanty G, Mussa R, Nakao M, Natkaniec Z, Natochii A, Nayak L, Niiyama M, Nisar N, Nishida S, Ogawa K, Ogawa S, Ono H, Oskin P, Pakhlov P, Pakhlova G, Pang T, Pardi S, Park H, Park SH, Patra S, Paul S, Pedlar T, Pestotnik R, Piilonen L, Podobnik T, Popov V, Prencipe E, Prim M, Röhrken M, Rostomyan A, Rout N, Russo G, Sahoo D, Sandilya S, Sangal A, Santelj L, Sanuki T, Savinov V, Schnell G, Seino Y, Senyo K, Sevior M, Shapkin M, Sharma C, Shiu JG, Simon F, Singh J, Sokolov A, Solovieva E, Stanič S, Starič M, Stottler Z, Sumihama M, Sumiyoshi T, Takizawa M, Tamponi U, Tanida K, Tenchini F, Uchida M, Uno K, Uno S, Urquijo P, Usov Y, Van Tonder R, Varner G, Vinokurova A, Waheed E, Wang E, Wang MZ, Wang X, Watanabe M, Watanuki S, Won E, Xu X, Yabsley B, Yan W, Yang S, Ye H, Yin J, Yuan C, Zhai Y, Zhang Z, Zhilich V, Zhukova V. Search for tetraquark states
Xccs¯s¯
in
Ds+Ds+(Ds*+Ds*+)
final states at Belle. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.105.032002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Guan Y, Ma Y, Tang Y, Liu X, Zhao Y, An L. MiRNA-221-5p suppressed the Th17/Treg ratio in asthma via RORγt/Foxp3 by targeting SOCS1. Allergy Asthma Clin Immunol 2021; 17:123. [PMID: 34863307 PMCID: PMC8643019 DOI: 10.1186/s13223-021-00620-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 11/01/2021] [Indexed: 11/10/2022] Open
Abstract
Background This study was designed to investigate the mechanism and effects of miRNA-221-5p on the T-helper 17 (Th17)/T-regulatory (Treg) ratio in asthma. Methods BALB/c mice were intranasally challenged with 100 µg OVA on 14 and 21 day. Mice were rechallenged with 2.5% OVA-PBS on 22 and 28 day. Mice were sacrificed using on day 30 under 35 mg/kg pentobarbital sodium. PBMCs were induced vitro model of asthma using 500 ng of lipopolysaccharides (LPS) for 4 h. Results The expression of miRNA-221-5p was reduced in in vivo model, compared sham group. The vitro model of asthma treated with miRNA-221-5p mimic resulted in the reduction of IL-6, IL-17, IL-21 and IL-22 levels, and induction of IL-10, IL-35 and TGF-β levels. In addition, down-regulation of miRNA-221-5p induced the protein expression of suppressor of cytokine signaling 1 (SOCS1) and receptor-related orphan receptor-gamma-t (RORγt) and suppressed that of FOXP3 in in vitro model of asthma. Over-expression of miRNA-221-5p induced the protein expression of FOXP3, and suppressed that of SOCS1 and RORγt in in vitro model of asthma. The inhibition of SOCS1 or RORγt attenuated the effects of anti-miRNA-221-5p on Th17/Treg ratio in asthma. Conclusion miRNA-221-5p may play critical roles in driving the differentiation of Th17/Treg ratio via RORγt/Foxp3 by Targeting SOCS1, reduced the function of Th17 cells by directly inhibiting RORγt/SOCS1 and promoted the function of Treg cells via Foxp3/ SOCS1 in asthma.
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Affiliation(s)
- Yuanyuan Guan
- Department of Allergy, First Affiliated Hospital of Harbin Medical University, 199 Dongdazhi Street, Nangang District, Harbin, 150001, Heilongjiang, China
| | - Yuemei Ma
- Department of Allergy, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yao Tang
- Department of Allergy, First Affiliated Hospital of Harbin Medical University, 199 Dongdazhi Street, Nangang District, Harbin, 150001, Heilongjiang, China
| | - Xiaolei Liu
- Department of Allergy, First Affiliated Hospital of Harbin Medical University, 199 Dongdazhi Street, Nangang District, Harbin, 150001, Heilongjiang, China
| | - Yan Zhao
- Department of Allergy, First Affiliated Hospital of Harbin Medical University, 199 Dongdazhi Street, Nangang District, Harbin, 150001, Heilongjiang, China
| | - Lixin An
- Department of Allergy, First Affiliated Hospital of Harbin Medical University, 199 Dongdazhi Street, Nangang District, Harbin, 150001, Heilongjiang, China.
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Song P, Zhang L, Wu L, Hu H, Liu Q, Li D, Hu P, Zhou F, Bu R, Wei Q, Yu Y, Guan Y, Chen E, Su X, Huang Z, Qiao M, Ru Z, Li C. A Ricin B-Like Lectin Protein Physically Interacts with TaPFT and Is Involved in Resistance to Fusarium Head Blight in Wheat. Phytopathology 2021; 111:2309-2316. [PMID: 34058858 DOI: 10.1094/phyto-11-20-0506-r] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Fusarium head blight (FHB), mainly caused by Fusarium graminearum, has become one of the most serious diseases that damage wheat. The TaPFT (pore-forming toxin-like) and TaHRC (histidine-rich calcium-binding protein) genes at the quantitative trait locus Fhb1 were identified to confer resistance to FHB in the wheat cultivar Sumai 3. In this study, a wheat ricin B-like lectin gene (designated TaRBL) that interacted with TaPFT was isolated by a yeast two-hybrid screen of a wheat cDNA library. A yeast two-hybrid and bimolecular fluorescence complementation study further verified that TaRBL interacted with TaPFT but not with TaHRC. Gene expression studies showed that upon F. graminearum infection, TaRBL expression was upregulated in resistant cultivars but downregulated in susceptible cultivars. Furthermore, knockdown of TaRBL expression by barley stripe mosaic virus-induced gene silencing significantly reduced the resistance of wheat to FHB in both the resistant cultivar Sumai 3 and the susceptible cultivar Jimai 22. Thus, we conclude that TaRBL encodes a ricin B-like lectin protein that interacts with TaPFT and is involved in resistance to FHB in wheat.
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Affiliation(s)
- Puwen Song
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453003, China
- College of Life Science and Technology, Collaborative Innovation Center of Modern Biological Breeding, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Lufan Zhang
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Liuliu Wu
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Haiyan Hu
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Qili Liu
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Dongxiao Li
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Ping Hu
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Feng Zhou
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Ruifang Bu
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Qichao Wei
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Yongang Yu
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Yuanyuan Guan
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Eryong Chen
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Xiaojia Su
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Zhongwen Huang
- College of Life Science and Technology, Collaborative Innovation Center of Modern Biological Breeding, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Mei Qiao
- College of Science and Technology, Hebei Agricultural University, Baoding 071001, China
| | - Zhengang Ru
- College of Life Science and Technology, Collaborative Innovation Center of Modern Biological Breeding, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Chengwei Li
- College of Life Science and Technology, Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang 453003, China
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Liu Q, Xu K, Yi L, Hou Y, Li D, Hu H, Zhou F, Song P, Yu Y, Wei Q, Guan Y, Hu P, Bu R, Chen E, Su X, Li H, Li C. A rapid, simple, and highly efficient method for VIGS and in vitro-inoculation of plant virus by INABS applied to crops that develop axillary buds and can survive from cuttings. BMC Plant Biol 2021; 21:545. [PMID: 34800968 PMCID: PMC8605592 DOI: 10.1186/s12870-021-03331-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 11/10/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Virus-induced gene silencing (VIGS) is one of the most convenient and powerful methods of reverse genetics. In vitro-inoculation of plant virus is an important method for studying the interactions between viruses and plants. Agrobacterium-based infiltration has been widely adopted as a tool for VIGS and in vitro-inoculation of plant virus. Most agrobacterium-based infiltration methods applied to VIGS and virus inoculation have the characteristics of low transformation efficiencies, long plant growth time, large amounts of plant tissue, large test spaces, and complex preparation procedures. Therefore, a rapid, simple, economical, and highly efficient VIGS and virus inoculation method is in need. Previous studies have shown that the selection of suitable plant tissues and inoculation sites is the key to successful infection. RESULTS In this study, Tobacco rattle virus (TRV) mediated VIGS and Tomato yellow leaf curl virus (TYLCV) for virus inoculation were developed in tomato plants based on the agrobacterium tumefaciens-based infiltration by injection of the no-apical-bud stem section (INABS). The no-apical-bud stem section had a "Y- type" asymmetric structure and contained an axillary bud that was about 1-3 cm in length. This protocol provides high transformation (56.7%) and inoculation efficiency (68.3%), which generates VIGS transformants or diseased plants in a very short period (8 dpi). Moreover, it greatly reduces the required experimental space. This method will facilitate functional genomic studies and large-scale disease resistance screening. CONCLUSIONS Overall, a rapid, simple, and highly efficient method for VIGS and virus inoculation by INABS was developed in tomato. It was reasonable to believe that it can be used as a reference for the other virus inoculation methods and for the application of VIGS to other crops (such as sweet potato, potato, cassava and tobacco) that develop axillary buds and can survive from cuttings.
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Affiliation(s)
- Qili Liu
- College of Plant Protection, Henan Agricultural University, Zhengzhou, 450002, China
- Postdoctoral Research Base, Henan Institute of Science and Technology, Xinxiang, 453001, China
- Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, 453001, China
| | - Kedong Xu
- Key Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University, Zhoukou, 466000, China
| | - Lun Yi
- Postdoctoral Research Base, Henan Institute of Science and Technology, Xinxiang, 453001, China
| | - Yalin Hou
- Postdoctoral Research Base, Henan Institute of Science and Technology, Xinxiang, 453001, China
| | - Dongxiao Li
- Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, 453001, China
| | - Haiyan Hu
- Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, 453001, China
| | - Feng Zhou
- Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, 453001, China
| | - Puwen Song
- Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, 453001, China
| | - Yongang Yu
- Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, 453001, China
| | - Qichao Wei
- Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, 453001, China
| | - Yuanyuan Guan
- Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, 453001, China
| | - Ping Hu
- Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, 453001, China
| | - Ruifang Bu
- Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, 453001, China
| | - Eryong Chen
- Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, 453001, China
| | - Xiaojia Su
- Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, 453001, China
| | - Honglian Li
- College of Plant Protection, Henan Agricultural University, Zhengzhou, 450002, China.
| | - Chengwei Li
- Postdoctoral Research Base, Henan Institute of Science and Technology, Xinxiang, 453001, China.
- Henan Engineering Research Center of Crop Genome Editing, Henan Institute of Science and Technology, Xinxiang, 453001, China.
- College of Biological Engineering, Henan University of Technology, Zhengzhou, 450001, China.
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Abudinén F, Adachi I, Adamczyk K, Aggarwal L, Ahmed H, Aihara H, Akopov N, Aloisio A, Anh Ky N, Asner DM, Atmacan H, Aushev V, Babu V, Bacher S, Bae H, Baehr S, Bahinipati S, Bambade P, Banerjee S, Bansal S, Barrett M, Baudot J, Bauer M, Baur A, Becker J, Behera PK, Bennett JV, Bernieri E, Bernlochner FU, Bertemes M, Bertholet E, Bessner M, Bettarini S, Bhardwaj V, Bianchi F, Bilka T, Bilokin S, Biswas D, Bobrov A, Bodrov D, Bolz A, Bozek A, Bračko M, Branchini P, Braun N, Briere RA, Browder TE, Budano A, Bussino S, Campajola M, Cao L, Casarosa G, Cecchi C, Červenkov D, Chang MC, Chang P, Cheaib R, Chekelian V, Chen C, Chen YT, Cheon BG, Chilikin K, Chirapatpimol K, Cho HE, Cho K, Cho SJ, Choi SK, Choudhury S, Cinabro D, Corona L, Cremaldi LM, Cunliffe S, Czank T, Dattola F, De La Cruz-Burelo E, de Marino G, De Nardo G, De Pietro G, de Sangro R, Destefanis M, Dey S, De Yta-Hernandez A, Di Canto A, Di Capua F, Dingfelder J, Doležal Z, Domínguez Jiménez I, Dong TV, Dorigo M, Dort K, Dossett D, Dubey S, Duell S, Dujany G, Ecker P, Epifanov D, Ferber T, Ferlewicz D, Finocchiaro G, Flood K, Fodor A, Forti F, Fulsom BG, Gabrielli A, Gabyshev N, Gaz A, Gellrich A, Giakoustidis G, Giordano R, Giri A, Glazov A, Gobbo B, Godang R, Goldenzweig P, Golob B, Gradl W, Graziani E, Greenwald D, Gu T, Guan Y, Gudkova K, Guilliams J, Hadjivasiliou C, Halder S, Hara K, Hara T, Hartbrich O, Hayasaka K, Hayashii H, Hazra S, Hearty C, Heredia de la Cruz I, Hernández Villanueva M, Hershenhorn A, Higuchi T, Hill EC, Hirata H, Hoek M, Hohmann M, Hsu CL, Humair T, Iijima T, Inami K, Inguglia G, Ishikawa A, Itoh R, Iwasaki M, Iwasaki Y, Jacobs WW, Jaffe DE, Jang EJ, Jia S, Jin Y, Junkerkalefeld H, Kakuno H, Kaliyar AB, Kandra J, Kang KH, Karl R, Karyan G, Kato Y, Kawasaki T, Kiesling C, Kim CH, Kim DY, Kim YK, Kim Y, Kimmel TD, Kinoshita K, Kodyš P, Koga T, Kohani S, Konno T, Korpar S, Kovalenko E, Kowalewski R, Kraetzschmar TMG, Krinner F, Križan P, Krokovny P, Kuhr T, Kumar J, Kumar M, Kumar R, Kumara K, Kurz S, Kuzmin A, Kwon YJ, Lacaprara S, Lalwani K, Lam T, Lanceri L, Lange JS, Laurenza M, Lautenbach K, Le Diberder FR, Lee SC, Leitl P, Levit D, Li C, Li LK, Libby J, Lieret K, Liptak Z, Liu QY, Liventsev D, Longo S, Lueck T, Lyu C, Manfredi R, Manoni E, Marinas C, Martini A, Matsuda T, Matsuoka K, Matvienko D, McKenna JA, Meier F, Merola M, Metzner F, Miller C, Miyabayashi K, Mizuk R, Mohanty GB, Molina-Gonzalez N, Moon H, Moser HG, Mrvar M, Murphy C, Mussa R, Nakamura I, Nakamura KR, Nakao M, Nakazawa H, Natkaniec Z, Natochii A, Nazaryan G, Niebuhr C, Niiyama M, Nisar NK, Nishida S, Nishimura K, Ogawa S, Onishchuk Y, Ono H, Onuki Y, Oskin P, Oxford ER, Ozaki H, Pakhlov P, Paladino A, Pang T, Panta A, Paoloni E, Pardi S, Park H, Park SH, Paschen B, Passeri A, Pathak A, Patra S, Paul S, Pedlar TK, Peruzzi I, Peschke R, Pestotnik R, Pham F, Piccolo M, Piilonen LE, Pinna Angioni G, Podesta-Lerma PLM, Podobnik T, Pokharel S, Polat G, Popov V, Praz C, Prell S, Prencipe E, Prim MT, Purohit MV, Purwar H, Rad N, Rados P, Raiz S, Reiter S, Remnev M, Ripp-Baudot I, Rizzo G, Rizzuto LB, Robertson SH, Roney JM, Rostomyan A, Rout N, Rozanska M, Sahoo D, Sanders DA, Sandilya S, Sangal A, Santelj L, Sato Y, Savinov V, Scavino B, Schueler J, Schwanda C, Schwartz AJ, Seino Y, Selce A, Senyo K, Serrano J, Sfienti C, Shiu JG, Shwartz B, Sibidanov A, Simon F, Sobie RJ, Soffer A, Sokolov A, Solovieva E, Spataro S, Spruck B, Starič M, Stefkova S, Stottler ZS, Stroili R, Strube J, Sumihama M, Sutcliffe W, Suzuki SY, Svidras H, Tabata M, Takizawa M, Tamponi U, Tanaka S, Tanida K, Tanigawa H, Taniguchi N, Tenchini F, Tiwary R, Tonelli D, Torassa E, Toutounji N, Trabelsi K, Tsuboyama T, Ueda I, Uehara S, Uematsu Y, Uglov T, Unger K, Unno Y, Uno K, Uno S, Urquijo P, Ushiroda Y, Usov YV, Vahsen SE, van Tonder R, Varner GS, Vinokurova A, Vitale L, Vossen A, Waheed E, Wakeling HM, Wang E, Wang MZ, Wang XL, Warburton A, Watanabe M, Welsch M, Wessel C, Wiechczynski J, Won E, Xu XP, Yabsley BD, Yamada S, Yan W, Yang SB, Ye H, Yelton J, Yin JH, Yoshihara K, Yusa Y, Zani L, Zhilich V, Zhou QD, Zhou XY, Zhukova VI, Žlebčík R. Precise Measurement of the D^{0} and D^{+} Lifetimes at Belle II. Phys Rev Lett 2021; 127:211801. [PMID: 34860075 DOI: 10.1103/physrevlett.127.211801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 10/20/2021] [Indexed: 06/13/2023]
Abstract
We report a measurement of the D^{0} and D^{+} lifetimes using D^{0}→K^{-}π^{+} and D^{+}→K^{-}π^{+}π^{+} decays reconstructed in e^{+}e^{-}→cc[over ¯] data recorded by the Belle II experiment at the SuperKEKB asymmetric-energy e^{+}e^{-} collider. The data, collected at center-of-mass energies at or near the ϒ(4S) resonance, correspond to an integrated luminosity of 72 fb^{-1}. The results, τ(D^{0})=410.5±1.1(stat)±0.8(syst) fs and τ(D^{+})=1030.4±4.7(stat)±3.1(syst) fs, are the most precise to date and are consistent with previous determinations.
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Affiliation(s)
- F Abudinén
- INFN Sezione di Trieste, I-34127 Trieste, Italy
| | - I Adachi
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - K Adamczyk
- H. Niewodniczanski Institute of Nuclear Physics, Krakow 31-342, Poland
| | - L Aggarwal
- Panjab University, Chandigarh 160014, India
| | - H Ahmed
- St. Francis Xavier University, Antigonish, Nova Scotia, B2G 2W5, Canada
| | - H Aihara
- Department of Physics, University of Tokyo, Tokyo 113-0033, Japan
| | - N Akopov
- Alikhanyan National Science Laboratory, Yerevan 0036, Armenia
| | - A Aloisio
- INFN Sezione di Napoli, I-80126 Napoli, Italy
- Dipartimento di Scienze Fisiche, Università di Napoli Federico II, I-80126 Napoli, Italy
| | - N Anh Ky
- Institute of Theoretical and Applied Research (ITAR), Duy Tan University, Hanoi 100000, Vietnam
- Institute of Physics, Vietnam Academy of Science and Technology (VAST), Hanoi, Vietnam
| | - D M Asner
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - H Atmacan
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - V Aushev
- Taras Shevchenko National Univ. of Kiev, Kiev, Ukraine
| | - V Babu
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - S Bacher
- H. Niewodniczanski Institute of Nuclear Physics, Krakow 31-342, Poland
| | - H Bae
- Department of Physics, University of Tokyo, Tokyo 113-0033, Japan
| | - S Baehr
- Institut für Experimentelle Teilchenphysik, Karlsruher Institut für Technologie, 76131 Karlsruhe, Germany
| | - S Bahinipati
- Indian Institute of Technology Bhubaneswar, Satya Nagar 751007, India
| | - P Bambade
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - Sw Banerjee
- University of Louisville, Louisville, Kentucky 40292, USA
| | - S Bansal
- Panjab University, Chandigarh 160014, India
| | - M Barrett
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - J Baudot
- Université de Strasbourg, CNRS, IPHC, UMR 7178, 67037 Strasbourg, France
| | - M Bauer
- Institut für Experimentelle Teilchenphysik, Karlsruher Institut für Technologie, 76131 Karlsruhe, Germany
| | - A Baur
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - J Becker
- Institut für Experimentelle Teilchenphysik, Karlsruher Institut für Technologie, 76131 Karlsruhe, Germany
| | - P K Behera
- Indian Institute of Technology Madras, Chennai 600036, India
| | - J V Bennett
- University of Mississippi, University, Mississippi 38677, USA
| | - E Bernieri
- INFN Sezione di Roma Tre, I-00146 Roma, Italy
| | | | - M Bertemes
- Institute of High Energy Physics, Vienna 1050, Austria
| | - E Bertholet
- Tel Aviv University, School of Physics and Astronomy, Tel Aviv, 69978, Israel
| | - M Bessner
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - S Bettarini
- INFN Sezione di Pisa, I-56127 Pisa, Italy
- Dipartimento di Fisica, Università di Pisa, I-56127 Pisa, Italy
| | - V Bhardwaj
- Indian Institute of Science Education and Research Mohali, SAS Nagar, 140306, India
| | - F Bianchi
- INFN Sezione di Torino, I-10125 Torino, Italy
- Dipartimento di Fisica, Università di Torino, I-10125 Torino, Italy
| | - T Bilka
- Faculty of Mathematics and Physics, Charles University, 121 16 Prague, Czech Republic
| | - S Bilokin
- Ludwig Maximilians University, 80539 Munich, Germany
| | - D Biswas
- University of Louisville, Louisville, Kentucky 40292, USA
| | - A Bobrov
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090, Russian Federation
- Novosibirsk State University, Novosibirsk 630090, Russian Federation
| | - D Bodrov
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russian Federation
- National Research University Higher School of Economics, Moscow 101000, Russian Federation
| | - A Bolz
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - A Bozek
- H. Niewodniczanski Institute of Nuclear Physics, Krakow 31-342, Poland
| | - M Bračko
- J. Stefan Institute, 1000 Ljubljana, Slovenia
- Faculty of Chemistry and Chemical Engineering, University of Maribor, 2000 Maribor, Slovenia
| | - P Branchini
- INFN Sezione di Roma Tre, I-00146 Roma, Italy
| | - N Braun
- Institut für Experimentelle Teilchenphysik, Karlsruher Institut für Technologie, 76131 Karlsruhe, Germany
| | - R A Briere
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - T E Browder
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Budano
- INFN Sezione di Roma Tre, I-00146 Roma, Italy
| | - S Bussino
- INFN Sezione di Roma Tre, I-00146 Roma, Italy
- Dipartimento di Matematica e Fisica, Università di Roma Tre, I-00146 Roma, Italy
| | - M Campajola
- INFN Sezione di Napoli, I-80126 Napoli, Italy
- Dipartimento di Scienze Fisiche, Università di Napoli Federico II, I-80126 Napoli, Italy
| | - L Cao
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - G Casarosa
- INFN Sezione di Pisa, I-56127 Pisa, Italy
- Dipartimento di Fisica, Università di Pisa, I-56127 Pisa, Italy
| | - C Cecchi
- INFN Sezione di Perugia, I-06123 Perugia, Italy
- Dipartimento di Fisica, Università di Perugia, I-06123 Perugia, Italy
| | - D Červenkov
- Faculty of Mathematics and Physics, Charles University, 121 16 Prague, Czech Republic
| | - M-C Chang
- Department of Physics, Fu Jen Catholic University, Taipei 24205, Taiwan
| | - P Chang
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan
| | - R Cheaib
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - V Chekelian
- Max-Planck-Institut für Physik, 80805 München, Germany
| | - C Chen
- Iowa State University, Ames, Iowa 50011, USA
| | - Y-T Chen
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan
| | - B G Cheon
- Department of Physics and Institute of Natural Sciences, Hanyang University, Seoul 04763, South Korea
| | - K Chilikin
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russian Federation
| | | | - H-E Cho
- Department of Physics and Institute of Natural Sciences, Hanyang University, Seoul 04763, South Korea
| | - K Cho
- Korea Institute of Science and Technology Information, Daejeon 34141, South Korea
| | - S-J Cho
- Yonsei University, Seoul 03722, South Korea
| | - S-K Choi
- Gyeongsang National University, Jinju 52828, South Korea
| | - S Choudhury
- Indian Institute of Technology Hyderabad, Telangana 502285, India
| | - D Cinabro
- Wayne State University, Detroit, Michigan 48202, USA
| | - L Corona
- INFN Sezione di Pisa, I-56127 Pisa, Italy
- Dipartimento di Fisica, Università di Pisa, I-56127 Pisa, Italy
| | - L M Cremaldi
- University of Mississippi, University, Mississippi 38677, USA
| | - S Cunliffe
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - T Czank
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Kashiwa 277-8583, Japan
| | - F Dattola
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - E De La Cruz-Burelo
- Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional, Mexico City 07360, Mexico
| | - G de Marino
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - G De Nardo
- INFN Sezione di Napoli, I-80126 Napoli, Italy
- Dipartimento di Scienze Fisiche, Università di Napoli Federico II, I-80126 Napoli, Italy
| | - G De Pietro
- INFN Sezione di Roma Tre, I-00146 Roma, Italy
| | - R de Sangro
- INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - M Destefanis
- INFN Sezione di Torino, I-10125 Torino, Italy
- Dipartimento di Fisica, Università di Torino, I-10125 Torino, Italy
| | - S Dey
- Tel Aviv University, School of Physics and Astronomy, Tel Aviv, 69978, Israel
| | - A De Yta-Hernandez
- Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional, Mexico City 07360, Mexico
| | - A Di Canto
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - F Di Capua
- INFN Sezione di Napoli, I-80126 Napoli, Italy
- Dipartimento di Scienze Fisiche, Università di Napoli Federico II, I-80126 Napoli, Italy
| | | | - Z Doležal
- Faculty of Mathematics and Physics, Charles University, 121 16 Prague, Czech Republic
| | | | - T V Dong
- Institute of Theoretical and Applied Research (ITAR), Duy Tan University, Hanoi 100000, Vietnam
| | - M Dorigo
- INFN Sezione di Trieste, I-34127 Trieste, Italy
| | - K Dort
- Justus-Liebig-Universität Gießen, 35392 Gießen, Germany
| | - D Dossett
- School of Physics, University of Melbourne, Victoria 3010, Australia
| | - S Dubey
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - S Duell
- University of Bonn, 53115 Bonn, Germany
| | - G Dujany
- Université de Strasbourg, CNRS, IPHC, UMR 7178, 67037 Strasbourg, France
| | - P Ecker
- Institut für Experimentelle Teilchenphysik, Karlsruher Institut für Technologie, 76131 Karlsruhe, Germany
| | - D Epifanov
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090, Russian Federation
- Novosibirsk State University, Novosibirsk 630090, Russian Federation
| | - T Ferber
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - D Ferlewicz
- School of Physics, University of Melbourne, Victoria 3010, Australia
| | - G Finocchiaro
- INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - K Flood
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Fodor
- McGill University, Montréal, Québec, H3A 2T8, Canada
| | - F Forti
- INFN Sezione di Pisa, I-56127 Pisa, Italy
- Dipartimento di Fisica, Università di Pisa, I-56127 Pisa, Italy
| | - B G Fulsom
- Pacific Northwest National Laboratory, Richland, Washington, D.C. 99352, USA
| | - A Gabrielli
- INFN Sezione di Trieste, I-34127 Trieste, Italy
- Dipartimento di Fisica, Università di Trieste, I-34127 Trieste, Italy
| | - N Gabyshev
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090, Russian Federation
- Novosibirsk State University, Novosibirsk 630090, Russian Federation
| | - A Gaz
- INFN Sezione di Padova, I-35131 Padova, Italy
- Dipartimento di Fisica e Astronomia, Università di Padova, I-35131 Padova, Italy
| | - A Gellrich
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | | | - R Giordano
- INFN Sezione di Napoli, I-80126 Napoli, Italy
- Dipartimento di Scienze Fisiche, Università di Napoli Federico II, I-80126 Napoli, Italy
| | - A Giri
- Indian Institute of Technology Hyderabad, Telangana 502285, India
| | - A Glazov
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - B Gobbo
- INFN Sezione di Trieste, I-34127 Trieste, Italy
| | - R Godang
- University of South Alabama, Mobile, Alabama 36688, USA
| | - P Goldenzweig
- Institut für Experimentelle Teilchenphysik, Karlsruher Institut für Technologie, 76131 Karlsruhe, Germany
| | - B Golob
- J. Stefan Institute, 1000 Ljubljana, Slovenia
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - W Gradl
- Institut für Kernphysik, Johannes Gutenberg-Universität Mainz, D-55099 Mainz, Germany
| | - E Graziani
- INFN Sezione di Roma Tre, I-00146 Roma, Italy
| | - D Greenwald
- Department of Physics, Technische Universität München, 85748 Garching, Germany
| | - T Gu
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - Y Guan
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - K Gudkova
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090, Russian Federation
- Novosibirsk State University, Novosibirsk 630090, Russian Federation
| | - J Guilliams
- University of Mississippi, University, Mississippi 38677, USA
| | - C Hadjivasiliou
- Pacific Northwest National Laboratory, Richland, Washington, D.C. 99352, USA
| | - S Halder
- Tata Institute of Fundamental Research, Mumbai 400005, India
| | - K Hara
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - T Hara
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - O Hartbrich
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K Hayasaka
- Niigata University, Niigata 950-2181, Japan
| | - H Hayashii
- Nara Women's University, Nara 630-8506, Japan
| | - S Hazra
- Tata Institute of Fundamental Research, Mumbai 400005, India
| | - C Hearty
- Institute of Particle Physics (Canada), Victoria, British Columbia V8W 2Y2, Canada
- University of British Columbia, Vancouver, British Columbia, V6T 1Z1, Canada
| | - I Heredia de la Cruz
- Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional, Mexico City 07360, Mexico
- Consejo Nacional de Ciencia y Tecnología, Mexico City 03940, Mexico
| | | | - A Hershenhorn
- University of British Columbia, Vancouver, British Columbia, V6T 1Z1, Canada
| | - T Higuchi
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Kashiwa 277-8583, Japan
| | - E C Hill
- University of British Columbia, Vancouver, British Columbia, V6T 1Z1, Canada
| | - H Hirata
- Graduate School of Science, Nagoya University, Nagoya 464-8602, Japan
| | - M Hoek
- Institut für Kernphysik, Johannes Gutenberg-Universität Mainz, D-55099 Mainz, Germany
| | - M Hohmann
- School of Physics, University of Melbourne, Victoria 3010, Australia
| | - C-L Hsu
- School of Physics, University of Sydney, New South Wales 2006, Australia
| | - T Humair
- Max-Planck-Institut für Physik, 80805 München, Germany
| | - T Iijima
- Graduate School of Science, Nagoya University, Nagoya 464-8602, Japan
- Kobayashi-Maskawa Institute, Nagoya University, Nagoya 464-8602, Japan
| | - K Inami
- Graduate School of Science, Nagoya University, Nagoya 464-8602, Japan
| | - G Inguglia
- Institute of High Energy Physics, Vienna 1050, Austria
| | - A Ishikawa
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - R Itoh
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - M Iwasaki
- Osaka City University, Osaka 558-8585, Japan
| | - Y Iwasaki
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408, USA
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - E-J Jang
- Gyeongsang National University, Jinju 52828, South Korea
| | - S Jia
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics, Fudan University, Shanghai 200443, China
| | - Y Jin
- INFN Sezione di Trieste, I-34127 Trieste, Italy
| | | | - H Kakuno
- Tokyo Metropolitan University, Tokyo 192-0397, Japan
| | - A B Kaliyar
- Tata Institute of Fundamental Research, Mumbai 400005, India
| | - J Kandra
- Faculty of Mathematics and Physics, Charles University, 121 16 Prague, Czech Republic
| | - K H Kang
- Kyungpook National University, Daegu 41566, South Korea
| | - R Karl
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - G Karyan
- Alikhanyan National Science Laboratory, Yerevan 0036, Armenia
| | - Y Kato
- Graduate School of Science, Nagoya University, Nagoya 464-8602, Japan
- Kobayashi-Maskawa Institute, Nagoya University, Nagoya 464-8602, Japan
| | - T Kawasaki
- Kitasato University, Sagamihara 252-0373, Japan
| | - C Kiesling
- Max-Planck-Institut für Physik, 80805 München, Germany
| | - C-H Kim
- Department of Physics and Institute of Natural Sciences, Hanyang University, Seoul 04763, South Korea
| | - D Y Kim
- Soongsil University, Seoul 06978, South Korea
| | - Y-K Kim
- Yonsei University, Seoul 03722, South Korea
| | - Y Kim
- Korea University, Seoul 02841, South Korea
| | - T D Kimmel
- Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - K Kinoshita
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - P Kodyš
- Faculty of Mathematics and Physics, Charles University, 121 16 Prague, Czech Republic
| | - T Koga
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - S Kohani
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - T Konno
- Kitasato University, Sagamihara 252-0373, Japan
| | - S Korpar
- J. Stefan Institute, 1000 Ljubljana, Slovenia
- Faculty of Chemistry and Chemical Engineering, University of Maribor, 2000 Maribor, Slovenia
| | - E Kovalenko
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090, Russian Federation
- Novosibirsk State University, Novosibirsk 630090, Russian Federation
| | - R Kowalewski
- University of Victoria, Victoria, British Columbia, V8W 3P6, Canada
| | | | - F Krinner
- Max-Planck-Institut für Physik, 80805 München, Germany
| | - P Križan
- J. Stefan Institute, 1000 Ljubljana, Slovenia
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - P Krokovny
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090, Russian Federation
- Novosibirsk State University, Novosibirsk 630090, Russian Federation
| | - T Kuhr
- Ludwig Maximilians University, 80539 Munich, Germany
| | - J Kumar
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - M Kumar
- Malaviya National Institute of Technology Jaipur, Jaipur 302017, India
| | - R Kumar
- Punjab Agricultural University, Ludhiana 141004, India
| | - K Kumara
- Wayne State University, Detroit, Michigan 48202, USA
| | - S Kurz
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - A Kuzmin
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090, Russian Federation
- Novosibirsk State University, Novosibirsk 630090, Russian Federation
| | - Y-J Kwon
- Yonsei University, Seoul 03722, South Korea
| | - S Lacaprara
- INFN Sezione di Padova, I-35131 Padova, Italy
| | - K Lalwani
- Malaviya National Institute of Technology Jaipur, Jaipur 302017, India
| | - T Lam
- Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - L Lanceri
- INFN Sezione di Trieste, I-34127 Trieste, Italy
| | - J S Lange
- Justus-Liebig-Universität Gießen, 35392 Gießen, Germany
| | - M Laurenza
- INFN Sezione di Roma Tre, I-00146 Roma, Italy
- Dipartimento di Matematica e Fisica, Università di Roma Tre, I-00146 Roma, Italy
| | - K Lautenbach
- Aix Marseille Université, CNRS/IN2P3, CPPM, 13288 Marseille, France
| | - F R Le Diberder
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - S C Lee
- Kyungpook National University, Daegu 41566, South Korea
| | - P Leitl
- Max-Planck-Institut für Physik, 80805 München, Germany
| | - D Levit
- Department of Physics, Technische Universität München, 85748 Garching, Germany
| | - C Li
- Liaoning Normal University, Dalian 116029, China
| | - L K Li
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - J Libby
- Indian Institute of Technology Madras, Chennai 600036, India
| | - K Lieret
- Ludwig Maximilians University, 80539 Munich, Germany
| | - Z Liptak
- Hiroshima University, Higashi-Hiroshima, Hiroshima 739-8530, Japan
| | - Q Y Liu
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - D Liventsev
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
- Wayne State University, Detroit, Michigan 48202, USA
| | - S Longo
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - T Lueck
- Ludwig Maximilians University, 80539 Munich, Germany
| | - C Lyu
- University of Bonn, 53115 Bonn, Germany
| | - R Manfredi
- INFN Sezione di Trieste, I-34127 Trieste, Italy
- Dipartimento di Fisica, Università di Trieste, I-34127 Trieste, Italy
| | - E Manoni
- INFN Sezione di Perugia, I-06123 Perugia, Italy
| | - C Marinas
- Instituto de Fisica Corpuscular, Paterna 46980, Spain
| | - A Martini
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - T Matsuda
- University of Miyazaki, Miyazaki 889-2192, Japan
| | - K Matsuoka
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - D Matvienko
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090, Russian Federation
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russian Federation
- Novosibirsk State University, Novosibirsk 630090, Russian Federation
| | - J A McKenna
- University of British Columbia, Vancouver, British Columbia, V6T 1Z1, Canada
| | - F Meier
- Duke University, Durham, North Carolina 27708, USA
| | - M Merola
- INFN Sezione di Napoli, I-80126 Napoli, Italy
- Dipartimento di Scienze Fisiche, Università di Napoli Federico II, I-80126 Napoli, Italy
| | - F Metzner
- Institut für Experimentelle Teilchenphysik, Karlsruher Institut für Technologie, 76131 Karlsruhe, Germany
| | - C Miller
- University of Victoria, Victoria, British Columbia, V8W 3P6, Canada
| | | | - R Mizuk
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russian Federation
- National Research University Higher School of Economics, Moscow 101000, Russian Federation
| | - G B Mohanty
- Tata Institute of Fundamental Research, Mumbai 400005, India
| | - N Molina-Gonzalez
- Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional, Mexico City 07360, Mexico
| | - H Moon
- Korea University, Seoul 02841, South Korea
| | - H-G Moser
- Max-Planck-Institut für Physik, 80805 München, Germany
| | - M Mrvar
- Institute of High Energy Physics, Vienna 1050, Austria
| | - C Murphy
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Kashiwa 277-8583, Japan
| | - R Mussa
- INFN Sezione di Torino, I-10125 Torino, Italy
| | - I Nakamura
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - K R Nakamura
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - M Nakao
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - H Nakazawa
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan
| | - Z Natkaniec
- H. Niewodniczanski Institute of Nuclear Physics, Krakow 31-342, Poland
| | - A Natochii
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - G Nazaryan
- Alikhanyan National Science Laboratory, Yerevan 0036, Armenia
| | - C Niebuhr
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - M Niiyama
- Kyoto Sangyo University, Kyoto 603-8555, Japan
| | - N K Nisar
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - S Nishida
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - K Nishimura
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - S Ogawa
- Toho University, Funabashi 274-8510, Japan
| | - Y Onishchuk
- Taras Shevchenko National Univ. of Kiev, Kiev, Ukraine
| | - H Ono
- Niigata University, Niigata 950-2181, Japan
| | - Y Onuki
- Department of Physics, University of Tokyo, Tokyo 113-0033, Japan
| | - P Oskin
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russian Federation
| | - E R Oxford
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - H Ozaki
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - P Pakhlov
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russian Federation
- Moscow Physical Engineering Institute, Moscow 115409, Russian Federation
| | - A Paladino
- INFN Sezione di Pisa, I-56127 Pisa, Italy
- Dipartimento di Fisica, Università di Pisa, I-56127 Pisa, Italy
| | - T Pang
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Panta
- University of Mississippi, University, Mississippi 38677, USA
| | - E Paoloni
- INFN Sezione di Pisa, I-56127 Pisa, Italy
- Dipartimento di Fisica, Università di Pisa, I-56127 Pisa, Italy
| | - S Pardi
- INFN Sezione di Napoli, I-80126 Napoli, Italy
| | - H Park
- Kyungpook National University, Daegu 41566, South Korea
| | - S-H Park
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - B Paschen
- University of Bonn, 53115 Bonn, Germany
| | - A Passeri
- INFN Sezione di Roma Tre, I-00146 Roma, Italy
| | - A Pathak
- University of Louisville, Louisville, Kentucky 40292, USA
| | - S Patra
- Indian Institute of Science Education and Research Mohali, SAS Nagar, 140306, India
| | - S Paul
- Department of Physics, Technische Universität München, 85748 Garching, Germany
| | - T K Pedlar
- Luther College, Decorah, Iowa 52101, USA
| | - I Peruzzi
- INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - R Peschke
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - R Pestotnik
- J. Stefan Institute, 1000 Ljubljana, Slovenia
| | - F Pham
- School of Physics, University of Melbourne, Victoria 3010, Australia
| | - M Piccolo
- INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - L E Piilonen
- Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - G Pinna Angioni
- INFN Sezione di Torino, I-10125 Torino, Italy
- Dipartimento di Fisica, Università di Torino, I-10125 Torino, Italy
| | | | - T Podobnik
- J. Stefan Institute, 1000 Ljubljana, Slovenia
| | - S Pokharel
- University of Mississippi, University, Mississippi 38677, USA
| | - G Polat
- Aix Marseille Université, CNRS/IN2P3, CPPM, 13288 Marseille, France
| | - V Popov
- National Research University Higher School of Economics, Moscow 101000, Russian Federation
| | - C Praz
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - S Prell
- Iowa State University, Ames, Iowa 50011, USA
| | - E Prencipe
- Justus-Liebig-Universität Gießen, 35392 Gießen, Germany
| | - M T Prim
- University of Bonn, 53115 Bonn, Germany
| | - M V Purohit
- Okinawa Institute of Science and Technology, Okinawa 904-0495, Japan
| | - H Purwar
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - N Rad
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - P Rados
- Institute of High Energy Physics, Vienna 1050, Austria
| | - S Raiz
- INFN Sezione di Trieste, I-34127 Trieste, Italy
- Dipartimento di Fisica, Università di Trieste, I-34127 Trieste, Italy
| | - S Reiter
- Justus-Liebig-Universität Gießen, 35392 Gießen, Germany
| | - M Remnev
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090, Russian Federation
- Novosibirsk State University, Novosibirsk 630090, Russian Federation
| | - I Ripp-Baudot
- Université de Strasbourg, CNRS, IPHC, UMR 7178, 67037 Strasbourg, France
| | - G Rizzo
- INFN Sezione di Pisa, I-56127 Pisa, Italy
- Dipartimento di Fisica, Università di Pisa, I-56127 Pisa, Italy
| | - L B Rizzuto
- J. Stefan Institute, 1000 Ljubljana, Slovenia
| | - S H Robertson
- Institute of Particle Physics (Canada), Victoria, British Columbia V8W 2Y2, Canada
- McGill University, Montréal, Québec, H3A 2T8, Canada
| | - J M Roney
- Institute of Particle Physics (Canada), Victoria, British Columbia V8W 2Y2, Canada
- University of Victoria, Victoria, British Columbia, V8W 3P6, Canada
| | - A Rostomyan
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - N Rout
- Indian Institute of Technology Madras, Chennai 600036, India
| | - M Rozanska
- H. Niewodniczanski Institute of Nuclear Physics, Krakow 31-342, Poland
| | - D Sahoo
- Iowa State University, Ames, Iowa 50011, USA
| | - D A Sanders
- University of Mississippi, University, Mississippi 38677, USA
| | - S Sandilya
- Indian Institute of Technology Hyderabad, Telangana 502285, India
| | - A Sangal
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - L Santelj
- J. Stefan Institute, 1000 Ljubljana, Slovenia
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Y Sato
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - V Savinov
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Scavino
- Institut für Kernphysik, Johannes Gutenberg-Universität Mainz, D-55099 Mainz, Germany
| | - J Schueler
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - C Schwanda
- Institute of High Energy Physics, Vienna 1050, Austria
| | - A J Schwartz
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - Y Seino
- Niigata University, Niigata 950-2181, Japan
| | - A Selce
- ENEA Casaccia, I-00123 Roma, Italy
- INFN Sezione di Roma Tre, I-00146 Roma, Italy
| | - K Senyo
- Yamagata University, Yamagata 990-8560, Japan
| | - J Serrano
- Aix Marseille Université, CNRS/IN2P3, CPPM, 13288 Marseille, France
| | - C Sfienti
- Institut für Kernphysik, Johannes Gutenberg-Universität Mainz, D-55099 Mainz, Germany
| | - J-G Shiu
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan
| | - B Shwartz
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090, Russian Federation
- Novosibirsk State University, Novosibirsk 630090, Russian Federation
| | - A Sibidanov
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Simon
- Max-Planck-Institut für Physik, 80805 München, Germany
| | - R J Sobie
- Institute of Particle Physics (Canada), Victoria, British Columbia V8W 2Y2, Canada
- University of Victoria, Victoria, British Columbia, V8W 3P6, Canada
| | - A Soffer
- Tel Aviv University, School of Physics and Astronomy, Tel Aviv, 69978, Israel
| | - A Sokolov
- Institute for High Energy Physics, Protvino 142281, Russian Federation
| | - E Solovieva
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russian Federation
| | - S Spataro
- INFN Sezione di Torino, I-10125 Torino, Italy
- Dipartimento di Fisica, Università di Torino, I-10125 Torino, Italy
| | - B Spruck
- Institut für Kernphysik, Johannes Gutenberg-Universität Mainz, D-55099 Mainz, Germany
| | - M Starič
- J. Stefan Institute, 1000 Ljubljana, Slovenia
| | - S Stefkova
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - Z S Stottler
- Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - R Stroili
- INFN Sezione di Padova, I-35131 Padova, Italy
- Dipartimento di Fisica e Astronomia, Università di Padova, I-35131 Padova, Italy
| | - J Strube
- Pacific Northwest National Laboratory, Richland, Washington, D.C. 99352, USA
| | - M Sumihama
- Gifu University, Gifu 501-1193, Japan
- Research Center for Nuclear Physics, Osaka University, Osaka 567-0047, Japan
| | | | - S Y Suzuki
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - H Svidras
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - M Tabata
- Chiba University, Chiba 263-8522, Japan
| | - M Takizawa
- J-PARC Branch, KEK Theory Center, High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
- Meson Science Laboratory, Cluster for Pioneering Research, RIKEN, Saitama 351-0198, Japan
- Showa Pharmaceutical University, Tokyo 194-8543, Japan
| | - U Tamponi
- INFN Sezione di Torino, I-10125 Torino, Italy
| | - S Tanaka
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - K Tanida
- Advanced Science Research Center, Japan Atomic Energy Agency, Naka 319-1195, Japan
| | - H Tanigawa
- Department of Physics, University of Tokyo, Tokyo 113-0033, Japan
| | - N Taniguchi
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - F Tenchini
- INFN Sezione di Pisa, I-56127 Pisa, Italy
- Dipartimento di Fisica, Università di Pisa, I-56127 Pisa, Italy
| | - R Tiwary
- Tata Institute of Fundamental Research, Mumbai 400005, India
| | - D Tonelli
- INFN Sezione di Trieste, I-34127 Trieste, Italy
| | - E Torassa
- INFN Sezione di Padova, I-35131 Padova, Italy
| | - N Toutounji
- School of Physics, University of Sydney, New South Wales 2006, Australia
| | - K Trabelsi
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - T Tsuboyama
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - I Ueda
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - S Uehara
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - Y Uematsu
- Department of Physics, University of Tokyo, Tokyo 113-0033, Japan
| | - T Uglov
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russian Federation
- National Research University Higher School of Economics, Moscow 101000, Russian Federation
| | - K Unger
- Institut für Experimentelle Teilchenphysik, Karlsruher Institut für Technologie, 76131 Karlsruhe, Germany
| | - Y Unno
- Department of Physics and Institute of Natural Sciences, Hanyang University, Seoul 04763, South Korea
| | - K Uno
- Niigata University, Niigata 950-2181, Japan
| | - S Uno
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - P Urquijo
- School of Physics, University of Melbourne, Victoria 3010, Australia
| | - Y Ushiroda
- The Graduate University for Advanced Studies (SOKENDAI), Hayama 240-0193, Japan
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
- Department of Physics, University of Tokyo, Tokyo 113-0033, Japan
| | - Y V Usov
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090, Russian Federation
- Novosibirsk State University, Novosibirsk 630090, Russian Federation
| | - S E Vahsen
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | | | - G S Varner
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Vinokurova
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090, Russian Federation
- Novosibirsk State University, Novosibirsk 630090, Russian Federation
| | - L Vitale
- INFN Sezione di Trieste, I-34127 Trieste, Italy
- Dipartimento di Fisica, Università di Trieste, I-34127 Trieste, Italy
| | - A Vossen
- Duke University, Durham, North Carolina 27708, USA
| | - E Waheed
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - H M Wakeling
- McGill University, Montréal, Québec, H3A 2T8, Canada
| | - E Wang
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - M-Z Wang
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan
| | - X L Wang
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics, Fudan University, Shanghai 200443, China
| | - A Warburton
- McGill University, Montréal, Québec, H3A 2T8, Canada
| | - M Watanabe
- Niigata University, Niigata 950-2181, Japan
| | - M Welsch
- University of Bonn, 53115 Bonn, Germany
| | - C Wessel
- University of Bonn, 53115 Bonn, Germany
| | - J Wiechczynski
- H. Niewodniczanski Institute of Nuclear Physics, Krakow 31-342, Poland
| | - E Won
- Korea University, Seoul 02841, South Korea
| | - X P Xu
- Soochow University, Suzhou 215006, China
| | - B D Yabsley
- School of Physics, University of Sydney, New South Wales 2006, Australia
| | - S Yamada
- High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
| | - W Yan
- University of Science and Technology of China, Hefei 230026, China
| | - S B Yang
- Korea University, Seoul 02841, South Korea
| | - H Ye
- Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany
| | - J Yelton
- University of Florida, Gainesville, Florida 32611, USA
| | - J H Yin
- Korea University, Seoul 02841, South Korea
| | - K Yoshihara
- Graduate School of Science, Nagoya University, Nagoya 464-8602, Japan
| | - Y Yusa
- Niigata University, Niigata 950-2181, Japan
| | - L Zani
- Aix Marseille Université, CNRS/IN2P3, CPPM, 13288 Marseille, France
| | - V Zhilich
- Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090, Russian Federation
- Novosibirsk State University, Novosibirsk 630090, Russian Federation
| | - Q D Zhou
- Graduate School of Science, Nagoya University, Nagoya 464-8602, Japan
- Institute for Advanced Research, Nagoya University, Nagoya 464-8602, Japan
- Kobayashi-Maskawa Institute, Nagoya University, Nagoya 464-8602, Japan
| | - X Y Zhou
- Liaoning Normal University, Dalian 116029, China
| | - V I Zhukova
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russian Federation
| | - R Žlebčík
- Faculty of Mathematics and Physics, Charles University, 121 16 Prague, Czech Republic
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