1
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Fedorova MS, Snezhkina AV, Lipatova AV, Pavlov VS, Kobelyatskaya AA, Guvatova ZG, Pudova EA, Savvateeva MV, Ishina IA, Demidova TB, Volchenko NN, Trofimov DY, Sukhikh GT, Krasnov GS, Kudryavtseva AV. NETO2 Is Deregulated in Breast, Prostate, and Colorectal Cancer and Participates in Cellular Signaling. Front Genet 2020; 11:594933. [PMID: 33362854 PMCID: PMC7758476 DOI: 10.3389/fgene.2020.594933] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 11/19/2020] [Indexed: 01/29/2023] Open
Abstract
The NETO2 gene (neuropilin and tolloid-like 2) encodes a protein that acts as an accessory subunit of kainate receptors and is predominantly expressed in the brain. Upregulation of NETO2 has been observed in several tumors; however, its role in tumorigenesis remains unclear. In this study, we investigated NETO2 expression in breast, prostate, and colorectal cancer using quantitative PCR (qPCR), as well as the effect of shRNA-mediated NETO2 silencing on transcriptome changes in colorectal cancer cells. In the investigated tumors, we observed both increased and decreased NETO2 mRNA levels, presenting no correlation with the main clinicopathological characteristics. In HCT116 cells, NETO2 knockdown resulted in the differential expression of 17 genes and 2 long non-coding RNAs (lncRNAs), associated with the upregulation of circadian rhythm and downregulation of several cancer-associated pathways, including Wnt, transforming growth factor (TGF)-β, Janus kinase (JAK)-signal transducer and activator of transcription (STAT), mitogen-activated protein kinase (MAPK), and phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) pathways. Furthermore, we demonstrated the possibility to utilize a novel model organism, short-lived fish Nothobranchius furzeri, for evaluating NETO2 functions. The ortholog neto2b in N. furzeri demonstrated a high similarity in nucleotide and amino acid sequences with human NETO2, as well as was characterized by stable expression in various fish tissues. Collectively, our findings demonstrate the deregulation of NETO2 in the breast, prostate, and colorectal cancer and its participation in the tumor development primarily through cellular signaling.
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Affiliation(s)
- Maria S Fedorova
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Anastasiya V Snezhkina
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Anastasiya V Lipatova
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Vladislav S Pavlov
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Anastasiya A Kobelyatskaya
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Zulfiya G Guvatova
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Elena A Pudova
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Maria V Savvateeva
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Irina A Ishina
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Tatiana B Demidova
- A. N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia
| | - Nadezhda N Volchenko
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Dmitry Y Trofimov
- National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician V.I. Kulakov, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Gennady T Sukhikh
- National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician V.I. Kulakov, Ministry of Health of the Russian Federation, Moscow, Russia
| | - George S Krasnov
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Anna V Kudryavtseva
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
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2
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Liu H, Zhu Z, Fang J, Liu T, Zhang Z, Zhao C, Pu X, Liu J. The ceRNA Network Has Potential Prognostic Value in Clear Cell Renal Cell Carcinoma: A Study Based on TCGA Database. BIOMED RESEARCH INTERNATIONAL 2020; 2020:4830847. [PMID: 32685491 PMCID: PMC7335400 DOI: 10.1155/2020/4830847] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 02/25/2020] [Indexed: 02/05/2023]
Abstract
Clear cell renal cell carcinoma (ccRCC) is a very common cancer in urology. Many evidences suggest that complex changed pathways take a nonnegligible part in the occurrence and development of ccRCC. Nevertheless, the underlying mechanism is not clear. In this study, the expression data between ccRCC and normal tissue samples in TCGA database were compared to distinguish differentially expressed genes (DEGs: mRNAs, miRNAs, and lncRNAs). Afterwards, we used GO enrichment and KEGG pathway enrichment analyses to explore the functions of these DEGs. We also found the correlation between three RNAs and created a competing endogenous RNA (ceRNA) network. Moreover, we used univariate Cox regression analysis to select DEGs that are connected with overall survival (OS) of ccRCC patients. We found 1652 mRNAs, 1534 lncRNAs, and 173 miRNAs that were distinguished in ccRCC compared with normal tissues. According to GO analysis, the maladjusted mRNAs are mainly concentrated in immune cell activation and kidney development, while according to KEGG, they are mainly concentrated in pathways related to cancer. A total of 5 mRNAs, 1 miRNA, and 4 lncRNAs were connected with patients' OS. In this article, a network of lncRNA-miRNA-mRNA was established; it is expected to be able to indicate possible molecular mechanisms for initial of ccRCC and provide a new viewpoint for diagnosis of ccRCC.
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Affiliation(s)
- Haosheng Liu
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangdong Guangzhou, China
| | - Zhaowen Zhu
- Department of Breast Surgery, Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangdong Guangzhou, China
| | - Jianxiong Fang
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences; The Second School of Clinical Medicine, Southern Medical University, Guangdong Guangzhou, China
| | - Tianqi Liu
- Shantou University Medical College, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Guangzhou, China
| | - Zhenhui Zhang
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences; The Second School of Clinical Medicine, Southern Medical University, Guangdong Guangzhou, China
| | - Chao Zhao
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangdong Guangzhou, China
| | - Xiaoyong Pu
- Department of Urology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Guangzhou, China
| | - Jiumin Liu
- Department of Urology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Guangzhou, China
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3
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He AR, Zhu Q, Gao S. Reducing NETO2 expression prevents human nasopharyngeal carcinoma (NPC) progression by suppressing metastasis and inducing apoptosis. Biochem Biophys Res Commun 2019; 513:494-501. [PMID: 30975469 DOI: 10.1016/j.bbrc.2019.03.061] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 03/10/2019] [Indexed: 10/27/2022]
Abstract
Nasopharyngeal carcinoma (NPC), the most common cancer in head and neck regions, is a serious health problem worldwide. Neuropilin and tolloid-like 2 (NETO2), a member of the subfamily of CUB domain and LDLa-containing proteins, has been suggested to be involved in tumor progression. Nevertheless, little is known about the function and molecular mechanism of NETO2 in NPC progression. In the study, NETO2 was found to be significantly up-regulated in clinical tissues and NPC cell lines. NETO2 expression was positively correlated with tumor size. NETO2 knockdown inhibited cell proliferation, migration and invasion in NPC cell lines. Significantly, NETO2 knockdown promoted the radiotherapy in vitro, as evidenced by the further reduced cell proliferation and metastasis in NPC cells using 3-[4, 5-dimethylthiazol-2-yl]-2, 5 diphenyl tetrazolium bromide (MTT), colony formation and transwell analysis. In addition, NETO2 inhibition markedly induced apoptosis in NPC cells through activating Caspase-3 signaling. Also, the knockdown of NETO2 obviously promoted the efficacy of radiotherapy in apoptosis induction, along with higher expression of cleaved Caspase-3. NETO2 knockdown-triggered apoptosis in NPC cells were considerably diminished by Caspase-3 inactivation, demonstrating the essential role of Caspase-3 in NETO2-regulated NPC development. Moreover, in vivo experiments suggested that NETO2 knockdown promoted radiation-induced tumor growth suppression in the absence of significant side effects. Collectively, reducing NETO2 expression might elevate the efficiency of radiotherapy in NPC patients.
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Affiliation(s)
- Ai-Rong He
- Department of Otolaryngology, Changle People's Hospital, Changle, 262400, China
| | - Qiang Zhu
- Department of Stomatology, Changhai Hospital, The Second Military Medical University, Shanghai, 200433, China
| | - Shang Gao
- Department of Otolaryngology-Head and Neck Surgery, Shanghai First Peoples Hospital, Shanghai Jiaotong University, Shanghai, 200080, China.
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4
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Zhou B, Ho SS, Greer SU, Zhu X, Bell JM, Arthur JG, Spies N, Zhang X, Byeon S, Pattni R, Ben-Efraim N, Haney MS, Haraksingh RR, Song G, Ji HP, Perrin D, Wong WH, Abyzov A, Urban AE. Comprehensive, integrated, and phased whole-genome analysis of the primary ENCODE cell line K562. Genome Res 2019; 29:472-484. [PMID: 30737237 PMCID: PMC6396411 DOI: 10.1101/gr.234948.118] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 12/28/2018] [Indexed: 11/24/2022]
Abstract
K562 is widely used in biomedical research. It is one of three tier-one cell lines of ENCODE and also most commonly used for large-scale CRISPR/Cas9 screens. Although its functional genomic and epigenomic characteristics have been extensively studied, its genome sequence and genomic structural features have never been comprehensively analyzed. Such information is essential for the correct interpretation and understanding of the vast troves of existing functional genomics and epigenomics data for K562. We performed and integrated deep-coverage whole-genome (short-insert), mate-pair, and linked-read sequencing as well as karyotyping and array CGH analysis to identify a wide spectrum of genome characteristics in K562: copy numbers (CN) of aneuploid chromosome segments at high-resolution, SNVs and indels (both corrected for CN in aneuploid regions), loss of heterozygosity, megabase-scale phased haplotypes often spanning entire chromosome arms, structural variants (SVs), including small and large-scale complex SVs and nonreference retrotransposon insertions. Many SVs were phased, assembled, and experimentally validated. We identified multiple allele-specific deletions and duplications within the tumor suppressor gene FHIT. Taking aneuploidy into account, we reanalyzed K562 RNA-seq and whole-genome bisulfite sequencing data for allele-specific expression and allele-specific DNA methylation. We also show examples of how deeper insights into regulatory complexity are gained by integrating genomic variant information and structural context with functional genomics and epigenomics data. Furthermore, using K562 haplotype information, we produced an allele-specific CRISPR targeting map. This comprehensive whole-genome analysis serves as a resource for future studies that utilize K562 as well as a framework for the analysis of other cancer genomes.
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Affiliation(s)
- Bo Zhou
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Steve S Ho
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Stephanie U Greer
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Xiaowei Zhu
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - John M Bell
- Stanford Genome Technology Center, Stanford University, Palo Alto, California 94304, USA
| | - Joseph G Arthur
- Department of Statistics, Stanford University, Stanford, California 94305, USA
| | - Noah Spies
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.,Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, USA.,Genome-Scale Measurements Group, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA
| | - Xianglong Zhang
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Seunggyu Byeon
- School of Computer Science and Engineering, College of Engineering, Pusan National University, Busan 46241, South Korea
| | - Reenal Pattni
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Noa Ben-Efraim
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Michael S Haney
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Rajini R Haraksingh
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Giltae Song
- School of Computer Science and Engineering, College of Engineering, Pusan National University, Busan 46241, South Korea
| | - Hanlee P Ji
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA.,Stanford Genome Technology Center, Stanford University, Palo Alto, California 94304, USA
| | - Dimitri Perrin
- Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD 4001, Australia
| | - Wing H Wong
- Department of Statistics, Stanford University, Stanford, California 94305, USA.,Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Alexej Abyzov
- Department of Health Sciences Research, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Alexander E Urban
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.,Tashia and John Morgridge Faculty Scholar, Stanford Child Health Research Institute, Stanford, California 94305, USA
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5
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Snezhkina AV, Nyushko KM, Zaretsky AR, Shagin DA, Sadritdinova AF, Fedorova MS, Guvatova ZG, Abramov IS, Pudova EA, Alekseev BY, Dmitriev AA, Kudryavtseva AV. Transcription Factor SAP30 Is Involved in the Activation of NETO2 Gene Expression in Clear Cell Renal Cell Carcinoma. Mol Biol 2018. [DOI: 10.1134/s0026893318020152] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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6
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Kudryavtseva AV, Nyushko KM, Zaretsky AR, Shagin DA, Sadritdinova AF, Fedorova MS, Savvateeva MV, Guvatova ZG, Pudova EA, Alekseev BY, Dmitriev AA, Snezhkina AV. Suppression of NR0B2 gene in Clear Cell Renal Cell Carcinoma Is Associated with Hypermethylation of Its Promoter. Mol Biol 2018. [DOI: 10.1134/s0026893318030081] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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7
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Gan L, Qin W, Wu S, Wu S, Bao W. Spatiotemporal expression of MYD88 gene in pigs from birth to adulthood. Genet Mol Biol 2018; 41:119-124. [PMID: 29384556 PMCID: PMC5901504 DOI: 10.1590/1678-4685-gmb-2017-0014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2017] [Accepted: 08/30/2017] [Indexed: 11/22/2022] Open
Abstract
MYD88 plays an important role in the immune response against infections. To analyze MYD88 gene expression during different stages of pig development, we used real-time PCR. MYD88 was seen expressed in all tissues examined. MYD88 expression in spleen, lungs, and thymus reached its highest value from 7 to 14 days of age and decreased thereafter. Expression in lymph nodes was high until 28 days of age and then it declined after weaning, with stable low levels in adult pigs. MYD88 expression was high before 35 days of age in the small intestine (duodenum, jejunum, and ileum), where it reached its highest value from 7 to 14 days of age. MYD88 expression in the small intestine declined post-weaning and remained relatively low during adulthood. The results of this study suggest that weaning stress and development of the immune system might be positively correlated with MYD88 expression regulation. Moreover, this study provided evidence that the high expression of MYD88 may diminish weaning stress and increase disease resistance in Meishan pigs.
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Affiliation(s)
- LiNa Gan
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - WeiYun Qin
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Sen Wu
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - ShengLong Wu
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, China.,Joint International Research Laboratory of Agriculture & Agri-Product Safety, Yangzhou University, Yangzhou, China
| | - WenBin Bao
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, China.,Joint International Research Laboratory of Agriculture & Agri-Product Safety, Yangzhou University, Yangzhou, China
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8
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Fedorova MS, Snezhkina AV, Pudova EA, Abramov IS, Lipatova AV, Kharitonov SL, Sadritdinova AF, Nyushko KM, Klimina KM, Belyakov MM, Slavnova EN, Melnikova NV, Chernichenko MA, Sidorov DV, Kiseleva MV, Kaprin AD, Alekseev BY, Dmitriev AA, Kudryavtseva AV. Upregulation of NETO2 gene in colorectal cancer. BMC Genet 2017; 18:117. [PMID: 29297384 PMCID: PMC5751543 DOI: 10.1186/s12863-017-0581-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Neuropilin and tolloid-like 2 (NETO2) is a single-pass transmembrane protein that has been shown primarily implicated in neuron-specific processes. Upregulation of NETO2 gene was also detected in several cancer types. In colorectal cancer (CRC), it was associated with tumor progression, invasion, and metastasis, and seems to be involved in epithelial-mesenchymal transition (EMT). However, the mechanism of NETO2 action is still poorly understood. RESULTS We have revealed significant increase in the expression of NETO2 gene and deregulation of eight EMT-related genes in CRC. Four of them were upregulated (TWIST1, SNAIL1, LEF1, and FOXA2); the mRNA levels of other genes (FOXA1, BMP2, BMP5, and SMAD7) were decreased. Expression of NETO2 gene was weakly correlated with that of genes involved in the EMT process. CONCLUSIONS We found considerable NETO2 upregulation, but no significant correlation between the expression of NETO2 and EMT-related genes in CRC. Thus, NETO2 may be involved in CRC progression, but is not directly associated with EMT.
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Affiliation(s)
- Maria S. Fedorova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | | | - Elena A. Pudova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Ivan S. Abramov
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | | | - Sergey L. Kharitonov
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Asiya F. Sadritdinova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Kirill M. Nyushko
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Kseniya M. Klimina
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Mikhail M. Belyakov
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Elena N. Slavnova
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Nataliya V. Melnikova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Maria A. Chernichenko
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Dmitry V. Sidorov
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Marina V. Kiseleva
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Andrey D. Kaprin
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Boris Y. Alekseev
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Alexey A. Dmitriev
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Anna V. Kudryavtseva
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia
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Yin XM, Gan LN, Qin WY, Sun SY, Zhu GQ, Wu SL, Bao WB. Differential expression of genes BPI, TAP1, SLA-1 and SLA-3 in Escherichia coli F18-resistant and sensitive Meishan post-weaning piglets. RUSS J GENET+ 2016. [DOI: 10.1134/s1022795416100148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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10
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Zhu SP, Yin XM, Sun L, Sun SY, Bao WB, Wu SL. Differential expression of porcine TAP1 gene in the populations of pigs. RUSS J GENET+ 2015. [DOI: 10.1134/s1022795415010147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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