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Wu X, Yang C, Zou Y, Jones SE, Zhao X, Zhang L, Han Z, Hao Y, Xiao J, Xiao C, Zhang W, Yan P, Cui H, Tang M, Wang Y, Chen L, Zhang L, Yao Y, Liu Z, Li J, Jiang X, Zhang B. Using human genetics to understand the phenotypic association between chronotype and breast cancer. J Sleep Res 2024; 33:e13973. [PMID: 37380357 DOI: 10.1111/jsr.13973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/23/2023] [Accepted: 06/11/2023] [Indexed: 06/30/2023]
Abstract
Little is known regarding the shared genetic influences underlying the observed phenotypic association between chronotype and breast cancer in women. Leveraging summary statistics from the hitherto largest genome-wide association study conducted in each trait, we investigated the genetic correlation, pleiotropic loci, and causal relationship of chronotype with overall breast cancer, and with its subtypes defined by the status of oestrogen receptor. We identified a negative genomic correlation between chronotype and overall breast cancer (r g = -0.06, p = 3.00 × 10-4), consistent across oestrogen receptor-positive (r g = -0.05, p = 3.30 × 10-3) and oestrogen receptor-negative subtypes (r g = -0.05, p = 1.11 × 10-2). Five specific genomic regions were further identified as contributing a significant local genetic correlation. Cross-trait meta-analysis identified 78 loci shared between chronotype and breast cancer, of which 23 were novel. Transcriptome-wide association study revealed 13 shared genes, targeting tissues of the nervous, cardiovascular, digestive, and exocrine/endocrine systems. Mendelian randomisation demonstrated a significantly reduced risk of overall breast cancer (odds ratio 0.89, 95% confidence interval 0.83-0.94; p = 1.30 × 10-4) for genetically predicted morning chronotype. No reverse causality was found. Our work demonstrates an intrinsic link underlying chronotype and breast cancer, which may provide clues to inform management of sleep habits to improve female health.
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Affiliation(s)
- Xueyao Wu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Chao Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Department of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, Luzhou, China
| | - Yanqiu Zou
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Samuel E Jones
- Institute for Molecular Medicine, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Xunying Zhao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Li Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Zhitong Han
- School of Life Sciences, Sichuan University, Chengdu, China
| | - Yu Hao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jinyu Xiao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Chenghan Xiao
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Wenqiang Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Peijing Yan
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Huijie Cui
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Mingshuang Tang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yutong Wang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Lin Chen
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Ling Zhang
- Department of Iatrical Polymer Material and Artificial Apparatus, School of Polymer Science and Engineering, Sichuan University, Chengdu, China
| | - Yuqin Yao
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Zhenmi Liu
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jiayuan Li
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xia Jiang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Ben Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
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2
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Li H, Chang L, Wu J, Huang J, Guan W, Bates LE, Stuart HT, Guo M, Zhang P, Huang B, Chen C, Zhang M, Chen J, Min M, Wu G, Hutchins AP, Silva JCR. In vitro generation of mouse morula-like cells. Dev Cell 2023; 58:2510-2527.e7. [PMID: 37875119 DOI: 10.1016/j.devcel.2023.09.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 04/21/2023] [Accepted: 09/29/2023] [Indexed: 10/26/2023]
Abstract
Generating cells with the molecular and functional properties of embryo cells and with full developmental potential is an aim with fundamental biological significance. Here we report the in vitro generation of mouse transient morula-like cells (MLCs) via the manipulation of signaling pathways. MLCs are molecularly distinct from embryonic stem cells (ESCs) and cluster instead with embryo 8- to 16-cell stage cells. A single MLC can generate a blastoid, and the efficiency increases to 80% when 8-10 MLCs are used. MLCs make embryoids directly, efficiently, and within 4 days. Transcriptomic analysis shows that day 4-5 MLC-derived embryoids contain the cell types found in natural embryos at early gastrulation. Furthermore, MLCs introduced into morulae segregate into epiblast (EPI), primitive endoderm (PrE), and trophectoderm (TE) fates in blastocyst chimeras and have a molecular signature indistinguishable from that of host embryo cells. These findings represent the generation of cells that are molecularly and functionally similar to the precursors of the first three cell lineages of the embryo.
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Affiliation(s)
- Huanhuan Li
- Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China; Bioland Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China.
| | - Litao Chang
- Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China; Guangzhou Medical University, Panyu District, Guangzhou, Guangdong Province 511495, China
| | - Jinyi Wu
- Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China; Guangzhou Medical University, Panyu District, Guangzhou, Guangdong Province 511495, China
| | - Jiahui Huang
- Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China
| | - Wei Guan
- Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China
| | - Lawrence E Bates
- Wellcome - MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Puddicombe Way, Cambridge CB2 0AW, UK
| | - Hannah T Stuart
- Wellcome - MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Puddicombe Way, Cambridge CB2 0AW, UK
| | - Mingyue Guo
- Bioland Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China; Guangzhou Medical University, Panyu District, Guangzhou, Guangdong Province 511495, China
| | - Pengfei Zhang
- Bioland Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China
| | - Boyan Huang
- Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China; Bioland Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China
| | - Chuanxin Chen
- Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China; Bioland Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China
| | - Man Zhang
- Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China; Bioland Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China
| | - Jiekai Chen
- Bioland Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China; CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Mingwei Min
- Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China; Bioland Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China
| | - Guangming Wu
- Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China; Bioland Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China
| | - Andrew P Hutchins
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong Province 518055, China
| | - José C R Silva
- Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China; Bioland Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province 510005, China.
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3
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Estermann MA, Major AT, Smith CA. DMRT1-mediated regulation of TOX3 modulates expansion of the gonadal steroidogenic cell lineage in the chicken embryo. Development 2023; 150:287047. [PMID: 36794750 PMCID: PMC10108705 DOI: 10.1242/dev.201466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/25/2023] [Indexed: 02/17/2023]
Abstract
During gonadal sex determination, the supporting cell lineage differentiates into Sertoli cells in males and pre-granulosa cells in females. Recently, single cell RNA-seq data have indicated that chicken steroidogenic cells are derived from differentiated supporting cells. This differentiation process is achieved by a sequential upregulation of steroidogenic genes and downregulation of supporting cell markers. The exact mechanism regulating this differentiation process remains unknown. We have identified TOX3 as a previously unreported transcription factor expressed in embryonic Sertoli cells of the chicken testis. TOX3 knockdown in males resulted in increased CYP17A1-positive Leydig cells. TOX3 overexpression in male and female gonads resulted in a significant decline in CYP17A1-positive steroidogenic cells. In ovo knockdown of the testis determinant DMRT1 in male gonads resulted in a downregulation of TOX3 expression. Conversely, DMRT1 overexpression caused an increase in TOX3 expression. Taken together, these data indicate that DMRT1-mediated regulation of TOX3 modulates expansion of the steroidogenic lineage, either directly, via cell lineage allocation, or indirectly, via signaling from the supporting to steroidogenic cell populations.
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Affiliation(s)
- Martin A Estermann
- Department of Anatomy and Developmental Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Andrew T Major
- Department of Anatomy and Developmental Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Craig A Smith
- Department of Anatomy and Developmental Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
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4
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Zhu Q, Ge J, Liu Y, Xu JW, Yan S, Zhou F. Decoding anterior-posterior axis emergence among mouse, monkey, and human embryos. Dev Cell 2023; 58:63-79.e4. [PMID: 36626872 DOI: 10.1016/j.devcel.2022.12.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 08/23/2022] [Accepted: 12/07/2022] [Indexed: 01/11/2023]
Abstract
Anterior-posterior axis formation regulated by the distal visceral endoderm (DVE) and anterior visceral endoderm (AVE) is essential for peri-implantation embryogenesis. However, the principles of the origin and specialization of DVE and AVE remain elusive. Here, with single-cell transcriptome analysis and pseudotime prediction, we show that DVE and AVE independently originate from the specialized primary endoderm in mouse blastocysts. Along distinct developmental paths, these two lineages, respectively, undergo four representative states with stage-specific transcriptional patterns around implantation. Further comparative analysis shows that AVE, but not DVE, is detected in human and non-human primate embryos, defining differences in polarity formation across species. Moreover, stem cell-assembled human blastoids lack DVE or AVE precursors, implying that additional induction of stem cells with DVE/AVE potential could promote the current embryo-like models and their post-implantation growth. Our work provides insight into understanding of embryonic polarity formation and early mammalian development.
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Affiliation(s)
- Qingyuan Zhu
- Haihe Laboratory of Cell Ecosystem, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jitao Ge
- Haihe Laboratory of Cell Ecosystem, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Ying Liu
- Haihe Laboratory of Cell Ecosystem, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jia-Wen Xu
- Haihe Laboratory of Cell Ecosystem, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Shengyi Yan
- Haihe Laboratory of Cell Ecosystem, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Fan Zhou
- Haihe Laboratory of Cell Ecosystem, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China.
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5
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Yang W, Wu W, Liang H, Chen J, Dong X. TOX3 regulates the proliferation and apoptosis of colorectal cancer by downregulating RhoB via the activation of MAPK pathway. Cell Biol Int 2022; 46:1074-1088. [PMID: 35347804 DOI: 10.1002/cbin.11802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 01/30/2022] [Accepted: 02/12/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Wei Yang
- Department of General Surgery, The first affiliated hospital of Soochow UniversitySuzhou215006P.R.China
| | - Wei Wu
- Department of General Surgery, The affiliated hospital of Yangzhou UniversityYangzhou225000P.R.China
| | - Hailiang Liang
- Department of General Surgery, The affiliated hospital of Yangzhou UniversityYangzhou225000P.R.China
| | - Jiejing Chen
- Department of General Surgery, The affiliated hospital of Yangzhou UniversityYangzhou225000P.R.China
| | - Xiaoqiang Dong
- Department of General Surgery, The first affiliated hospital of Soochow UniversitySuzhou215006P.R.China
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6
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Evolutionarily conservative and non-conservative regulatory networks during primate interneuron development revealed by single-cell RNA and ATAC sequencing. Cell Res 2022; 32:425-436. [PMID: 35273378 PMCID: PMC9061815 DOI: 10.1038/s41422-022-00635-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 01/26/2022] [Indexed: 12/27/2022] Open
Abstract
The differences in size and function between primate and rodent brains, and the association of disturbed excitatory/inhibitory balance with many neurodevelopmental disorders highlight the importance to study primate ganglionic eminences (GEs) development. Here we used single-cell RNA and ATAC sequencing to characterize the emergence of cell diversity in monkey and human GEs where most striatal and cortical interneurons are generated. We identified regional and temporal diversity among progenitor cells which give rise to a variety of interneurons. These cells are specified within the primate GEs by well conserved gene regulatory networks, similar to those identified in mice. However, we detected, in human, several novel regulatory pathways or factors involved in the specification and migration of interneurons. Importantly, comparison of progenitors between our human and published mouse GE datasets led to the discovery and confirmation of outer radial glial cells in GEs in human cortex. Our findings reveal both evolutionarily conservative and nonconservative regulatory networks in primate GEs, which may contribute to their larger brain sizes and more complex neural networks compared with mouse.
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Fiorentino G, Visintainer R, Domenici E, Lauria M, Marchetti L. MOUSSE: Multi-Omics Using Subject-Specific SignaturEs. Cancers (Basel) 2021; 13:cancers13143423. [PMID: 34298641 PMCID: PMC8304726 DOI: 10.3390/cancers13143423] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/29/2021] [Accepted: 06/30/2021] [Indexed: 01/06/2023] Open
Abstract
Simple Summary Modern profiling technologies have led to relevant progress toward precision medicine and disease management. A new trend in patient classification is to integrate multiple data types for the same subjects to increase the chance of identifying meaningful phenotype groups. However, these methodologies are still in their infancy, with their performance varying widely depending on the biological conditions analyzed. We developed MOUSSE, a new unsupervised and normalization-free tool for multi-omics integration able to maintain good clustering performance across a wide range of omics data. We verified its efficiency in clustering patients based on survival for ten different cancer types. The results we obtained show a higher average score in classification performance than ten other state-of-the-art algorithms. We have further validated the method by identifying a list of biological features potentially involved in patient survival, finding a high degree of concordance with the literature. Abstract High-throughput technologies make it possible to produce a large amount of data representing different biological layers, examples of which are genomics, proteomics, metabolomics and transcriptomics. Omics data have been individually investigated to understand the molecular bases of various diseases, but this may not be sufficient to fully capture the molecular mechanisms and the multilayer regulatory processes underlying complex diseases, especially cancer. To overcome this problem, several multi-omics integration methods have been introduced but a commonly agreed standard of analysis is still lacking. In this paper, we present MOUSSE, a novel normalization-free pipeline for unsupervised multi-omics integration. The main innovations are the use of rank-based subject-specific signatures and the use of such signatures to derive subject similarity networks. A separate similarity network was derived for each omics, and the resulting networks were then carefully merged in a way that considered their informative content. We applied it to analyze survival in ten different types of cancer. We produced a meaningful clusterization of the subjects and obtained a higher average classification score than ten state-of-the-art algorithms tested on the same data. As further validation, we extracted from the subject-specific signatures a list of relevant features used for the clusterization and investigated their biological role in survival. We were able to verify that, according to the literature, these features are highly involved in cancer progression and differential survival.
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Affiliation(s)
- Giuseppe Fiorentino
- Fondazione The Microsoft Research, University of Trento Centre for Computational and Systems Biology (COSBI), 38068 Rovereto, Italy; (G.F.); (R.V.); (E.D.); (M.L.)
- Department of Cellular, Computational, and Integrative Biology (CiBio), University of Trento, 38123 Povo, Italy
| | - Roberto Visintainer
- Fondazione The Microsoft Research, University of Trento Centre for Computational and Systems Biology (COSBI), 38068 Rovereto, Italy; (G.F.); (R.V.); (E.D.); (M.L.)
| | - Enrico Domenici
- Fondazione The Microsoft Research, University of Trento Centre for Computational and Systems Biology (COSBI), 38068 Rovereto, Italy; (G.F.); (R.V.); (E.D.); (M.L.)
- Department of Cellular, Computational, and Integrative Biology (CiBio), University of Trento, 38123 Povo, Italy
| | - Mario Lauria
- Fondazione The Microsoft Research, University of Trento Centre for Computational and Systems Biology (COSBI), 38068 Rovereto, Italy; (G.F.); (R.V.); (E.D.); (M.L.)
- Department of Mathematics, University of Trento, 38123 Povo, Italy
| | - Luca Marchetti
- Fondazione The Microsoft Research, University of Trento Centre for Computational and Systems Biology (COSBI), 38068 Rovereto, Italy; (G.F.); (R.V.); (E.D.); (M.L.)
- Correspondence:
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Alexander J, LaPlant QC, Pattwell SS, Szulzewsky F, Cimino PJ, Caruso FP, Pugliese P, Chen Z, Chardon F, Hill AJ, Spurrell C, Ahrendsen D, Pietras A, Starita LM, Hambardzumyan D, Iavarone A, Shendure J, Holland EC. Multimodal single-cell analysis reveals distinct radioresistant stem-like and progenitor cell populations in murine glioma. Glia 2020; 68:2486-2502. [PMID: 32621641 PMCID: PMC7586969 DOI: 10.1002/glia.23866] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Revised: 04/30/2020] [Accepted: 05/17/2020] [Indexed: 11/22/2022]
Abstract
Radiation therapy is part of the standard of care for gliomas and kills a subset of tumor cells, while also altering the tumor microenvironment. Tumor cells with stem-like properties preferentially survive radiation and give rise to glioma recurrence. Various techniques for enriching and quantifying cells with stem-like properties have been used, including the fluorescence activated cell sorting (FACS)-based side population (SP) assay, which is a functional assay that enriches for stem-like tumor cells. In these analyses, mouse models of glioma have been used to understand the biology of this disease and therapeutic responses, including the radiation response. We present combined SP analysis and single-cell RNA sequencing of genetically-engineered mouse models of glioma to show a time course of cellular response to radiation. We identify and characterize two distinct tumor cell populations that are inherently radioresistant and also distinct effects of radiation on immune cell populations within the tumor microenvironment.
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Affiliation(s)
- Jes Alexander
- Department of Genome SciencesUniversity of WashingtonSeattleWashingtonUSA
- Department of Radiation OncologyUniversity of Washington School of MedicineSeattleWashingtonUSA
| | - Quincey C. LaPlant
- Department of Radiation OncologyMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Siobhan S. Pattwell
- Human Biology DivisionFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
| | - Frank Szulzewsky
- Human Biology DivisionFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
| | - Patrick J. Cimino
- Human Biology DivisionFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
| | - Francesca P. Caruso
- Dipartimento di Scienze e TecnologieUniversità degli Studi del SannioBeneventoItaly
- Bioinformatics Lab, BIOGEMAriano IrpinoItaly
| | - Pietro Pugliese
- Dipartimento di Scienze e TecnologieUniversità degli Studi del SannioBeneventoItaly
- Bioinformatics Lab, BIOGEMAriano IrpinoItaly
| | - Zhihong Chen
- Department of Oncological SciencesTisch Cancer Institute, and Department of Neurosurgery, Mount Sinai Icahn School of MedicineNew YorkNew YorkUSA
| | - Florence Chardon
- Department of Genome SciencesUniversity of WashingtonSeattleWashingtonUSA
| | - Andrew J. Hill
- Department of Genome SciencesUniversity of WashingtonSeattleWashingtonUSA
| | - Cailyn Spurrell
- Brotman Baty Institute for Precision MedicineSeattleWashingtonUSA
| | - Dakota Ahrendsen
- Brotman Baty Institute for Precision MedicineSeattleWashingtonUSA
| | | | - Lea M. Starita
- Department of Genome SciencesUniversity of WashingtonSeattleWashingtonUSA
- Brotman Baty Institute for Precision MedicineSeattleWashingtonUSA
| | - Dolores Hambardzumyan
- Department of Oncological SciencesTisch Cancer Institute, and Department of Neurosurgery, Mount Sinai Icahn School of MedicineNew YorkNew YorkUSA
| | - Antonio Iavarone
- Institute for Cancer Genetics, Department of Neurology, Department of Pathology and Cell BiologyColumbia University Medical CenterNew YorkNew YorkUSA
| | - Jay Shendure
- Department of Genome SciencesUniversity of WashingtonSeattleWashingtonUSA
- Brotman Baty Institute for Precision MedicineSeattleWashingtonUSA
- Allen Discovery Center for Cell LineageSeattleWashingtonUSA
- Howard Hughes Medical InstituteUniversity of WashingtonSeattleWashingtonUSA
| | - Eric C. Holland
- Human Biology DivisionFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
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TOX3 gene variant could be associated with painful restless legs. Sleep Med 2020; 65:4-7. [DOI: 10.1016/j.sleep.2019.07.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Revised: 07/03/2019] [Accepted: 07/04/2019] [Indexed: 11/17/2022]
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10
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Man Y, Zhao R, Gao X, Liu Y, Zhao S, Lu G, Chan WY, Leung PCK, Bian Y. TOX3 Promotes Ovarian Estrogen Synthesis: An RNA-Sequencing and Network Study. Front Endocrinol (Lausanne) 2020; 11:615846. [PMID: 33716953 PMCID: PMC7945945 DOI: 10.3389/fendo.2020.615846] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 12/30/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Women who undergo chronic exposure to excessive estrogen are at a high risk of developing breast cancer. TOX3 has been reported to be highly expressed in breast tumors and is closely related to estrogen receptors. However, the effect of TOX3 on estrogen synthesis remains poorly understood. METHODS Using lentiviruses as a vector, we stably overexpressed TOX3 in the ovarian granulosa cell line KGN, the cells where estradiol is primarily produced, to investigate its role in estrogen production as well as cell viability and apoptosis. RNA-Sequencing was applied to uncover the global gene expression upon TOX3 overexpression. RESULTS We observed an increased level of cell viability and a reduced cell apoptosis rate after TOX3 overexpression, and the level of estradiol in the cell culture supernatant also increased significantly. Gene set enrichment analysis of the transcriptome showed that the ovarian steroidogenesis pathway was significantly enriched. Similarly, pathway mapping using the Kyoto Encyclopedia of Genes and Genomes and Gene Ontology analyses also showed that TOX3 overexpression affects the ovarian steroidogenesis pathway. Further experiments showed that upregulated FSHR, CYP19A1, and BMP6 accounted for the enhanced estrogen synthesis. CONCLUSION Our study demonstrated that TOX3 quantitatively and qualitatively stimulates estrogen synthesis by enhancing estrogen signaling pathway-related gene expression in ovarian granulosa cells. These findings suggest that TOX3 may play a vital role in the pathogenesis of breast cancer.
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Affiliation(s)
- Yuanyuan Man
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Rusong Zhao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Xueying Gao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Yue Liu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Shigang Zhao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Gang Lu
- CUHK-SDU Joint Laboratory on Reproductive Genetics, School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Wai-Yee Chan
- CUHK-SDU Joint Laboratory on Reproductive Genetics, School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Peter C. K. Leung
- Department of Obstetrics and Gynaecology, BC Children’s Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Yuehong Bian
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
- *Correspondence: Yuehong Bian,
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Chen P, Ijomone OM, Lee KH, Aschner M. Caenorhabditis elegans and its applicability to studies on restless legs syndrome. ADVANCES IN PHARMACOLOGY (SAN DIEGO, CALIF.) 2019; 84:147-174. [PMID: 31229169 DOI: 10.1016/bs.apha.2018.12.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Restless legs syndrome (RLS) is a common neurological disorder in the United States. This disorder is characterized by an irresistible urge to move the legs, although the symptoms vary in a wide range. The pathobiology of RLS has been linked to iron (Fe) deficiency and dopaminergic (DAergic) dysfunction. Several genetic factors have been reported to increase the risk of RLS. Caenorhabditis elegans (C. elegans) is a well-established animal model with a fully sequenced genome, which is highly conserved with mammals. Given the detailed knowledge of its genomic architecture, ease of genetic manipulation and conserved biosynthetic and metabolic pathways, as well as its small size, ease of maintenance, speedy generation time and large brood size, C. elegans provides numerous advantages in studying RLS-associated gene-environment interactions. Here we will review current knowledge about RLS symptoms, pathology and treatments, and discuss the application of C. elegans in RLS study, including the worm homologous genes and methods that could be performed to advance the pathophysiology RLS.
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Affiliation(s)
- Pan Chen
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Omamuyovwi Meashack Ijomone
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, United States; Department of Human Anatomy, Federal University of Technology, Akure, Nigeria
| | - Kun He Lee
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Michael Aschner
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, United States.
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Hermesdorf M, Sundermann B, Rawal R, Szentkirályi A, Dannlowski U, Berger K. Lack of Association Between Shape and Volume of Subcortical Brain Structures and Restless Legs Syndrome. Front Neurol 2018; 9:355. [PMID: 29867753 PMCID: PMC5968110 DOI: 10.3389/fneur.2018.00355] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 05/01/2018] [Indexed: 11/24/2022] Open
Abstract
Objective Previous studies on patients with restless legs syndrome (RLS) yielded inconclusive results in the magnetic resonance imaging (MRI)-based analyses of alterations of subcortical structures in the brain. The aim of this study was to compare volumes as well as shapes of subcortical structures and the hippocampus between RLS cases and controls. Additionally, the associations between the genetic risks for RLS and subcortical volumes were investigated. Methods We compared volumetric as well as shape differences assessed by 3 T MRI in the caudate nucleus, hippocampus, globus pallidus, putamen, and thalamus in 39 RLS cases versus 117 controls, nested within a population-based sample. In a subsample, we explored associations between known genetic risk markers for RLS and the volumes of the subcortical structures and the hippocampus. Results No significant differences between RLS cases and controls in subcortical and hippocampal shapes and volumes were observed. Furthermore, the genetic risk for RLS was unrelated to any alterations of subcortical and hippocampal gray matter volume. Interpretation We conclude that neither RLS nor the genetic risk for the disease give rise to changes in hippocampal and subcortical shapes and gray matter volumes.
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Affiliation(s)
- Marco Hermesdorf
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Benedikt Sundermann
- Department of Clinical Radiology, University Hospital Münster, Münster, Germany
| | - Rajesh Rawal
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - András Szentkirályi
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
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Schormair B, Zhao C, Bell S, Tilch E, Salminen AV, Pütz B, Dauvilliers Y, Stefani A, Högl B, Poewe W, Kemlink D, Sonka K, Bachmann CG, Paulus W, Trenkwalder C, Oertel WH, Hornyak M, Teder-Laving M, Metspalu A, Hadjigeorgiou GM, Polo O, Fietze I, Ross OA, Wszolek Z, Butterworth AS, Soranzo N, Ouwehand WH, Roberts DJ, Danesh J, Allen RP, Earley CJ, Ondo WG, Xiong L, Montplaisir J, Gan-Or Z, Perola M, Vodicka P, Dina C, Franke A, Tittmann L, Stewart AFR, Shah SH, Gieger C, Peters A, Rouleau GA, Berger K, Oexle K, Di Angelantonio E, Hinds DA, Müller-Myhsok B, Winkelmann J. Identification of novel risk loci for restless legs syndrome in genome-wide association studies in individuals of European ancestry: a meta-analysis. Lancet Neurol 2017; 16:898-907. [PMID: 29029846 PMCID: PMC5755468 DOI: 10.1016/s1474-4422(17)30327-7] [Citation(s) in RCA: 152] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Revised: 08/10/2017] [Accepted: 08/17/2017] [Indexed: 02/02/2023]
Abstract
BACKGROUND Restless legs syndrome is a prevalent chronic neurological disorder with potentially severe mental and physical health consequences. Clearer understanding of the underlying pathophysiology is needed to improve treatment options. We did a meta-analysis of genome-wide association studies (GWASs) to identify potential molecular targets. METHODS In the discovery stage, we combined three GWAS datasets (EU-RLS GENE, INTERVAL, and 23andMe) with diagnosis data collected from 2003 to 2017, in face-to-face interviews or via questionnaires, and involving 15 126 cases and 95 725 controls of European ancestry. We identified common variants by fixed-effect inverse-variance meta-analysis. Significant genome-wide signals (p≤5 × 10-8) were tested for replication in an independent GWAS of 30 770 cases and 286 913 controls, followed by a joint analysis of the discovery and replication stages. We did gene annotation, pathway, and gene-set-enrichment analyses and studied the genetic correlations between restless legs syndrome and traits of interest. FINDINGS We identified and replicated 13 new risk loci for restless legs syndrome and confirmed the previously identified six risk loci. MEIS1 was confirmed as the strongest genetic risk factor for restless legs syndrome (odds ratio 1·92, 95% CI 1·85-1·99). Gene prioritisation, enrichment, and genetic correlation analyses showed that identified pathways were related to neurodevelopment and highlighted genes linked to axon guidance (associated with SEMA6D), synapse formation (NTNG1), and neuronal specification (HOXB cluster family and MYT1). INTERPRETATION Identification of new candidate genes and associated pathways will inform future functional research. Advances in understanding of the molecular mechanisms that underlie restless legs syndrome could lead to new treatment options. We focused on common variants; thus, additional studies are needed to dissect the roles of rare and structural variations. FUNDING Deutsche Forschungsgemeinschaft, Helmholtz Zentrum München-Deutsches Forschungszentrum für Gesundheit und Umwelt, National Research Institutions, NHS Blood and Transplant, National Institute for Health Research, British Heart Foundation, European Commission, European Research Council, National Institutes of Health, National Institute of Neurological Disorders and Stroke, NIH Research Cambridge Biomedical Research Centre, and UK Medical Research Council.
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Affiliation(s)
- Barbara Schormair
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Chen Zhao
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Steven Bell
- National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK; MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK; National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, UK
| | - Erik Tilch
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Aaro V Salminen
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Benno Pütz
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Yves Dauvilliers
- Sleep-Wake Disorders Centre, Department of Neurology, Hôpital Gui-de-Chauliac, INSERM U1061, CHU Montpellier, France
| | - Ambra Stefani
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Birgit Högl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Werner Poewe
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - David Kemlink
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Prague, Czech Republic
| | - Karel Sonka
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Prague, Czech Republic
| | | | - Walter Paulus
- Department of Clinical Neurophysiology, University Medical Centre, Georg August University Göttingen, Göttingen, Germany
| | - Claudia Trenkwalder
- Clinic for Neurosurgery, University Medical Centre, Georg August University Göttingen, Göttingen, Germany; Paracelsus-Elena Hospital, Centre of Parkinsonism and Movement Disorders, Kassel, Germany
| | - Wolfgang H Oertel
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany; Department of Neurology, Philipps University Marburg, Marburg, Germany
| | - Magdolna Hornyak
- Department of Neurology, University of Ulm, Ulm, Germany; Neuropsychiatry Centre Erding/München, Erding, Germany
| | - Maris Teder-Laving
- Estonian Genome Centre, University of Tartu and Estonian Biocentre, Tartu, Estonia
| | - Andres Metspalu
- Estonian Genome Centre, University of Tartu and Estonian Biocentre, Tartu, Estonia
| | - Georgios M Hadjigeorgiou
- Laboratory of Neurogenetics, Department of Neurology, Faculty of Medicine, University of Thessaly, University Hospital of Larissa, Biopolis, Larissa, Greece
| | - Olli Polo
- Unesta Research Centre, Tampere, Finland; Department of Pulmonary Diseases, Tampere University Hospital, Tampere, Finland
| | - Ingo Fietze
- Department of Cardiology and Angiology, Centre of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Owen A Ross
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | - Adam S Butterworth
- National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK; MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK; National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, UK; British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, UK
| | - Nicole Soranzo
- National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK; Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK; Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Willem H Ouwehand
- National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK; Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK; NHS Blood and Transplant, Cambridge, UK; British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, UK; Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - David J Roberts
- NHS Blood and Transplant, Oxford, UK; Radcliffe Department of Medicine, BRC Haematology Theme and NHS Blood and Transplant, John Radcliffe Hospital, Headington, Oxford, UK; Department of Haematology and BRC Haematology Theme, Churchill Hospital, Oxford, UK
| | - John Danesh
- National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK; MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK; National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, UK; British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, UK; Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Richard P Allen
- Center for Restless Legs Study, Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - Christopher J Earley
- Center for Restless Legs Study, Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - William G Ondo
- Department of Neurology, Methodist Neurological Institute, Houston, TX, USA
| | - Lan Xiong
- Laboratoire de Neurogénétique, Centre de Recherche, Institut Universitaire en Santé Mentale de Montréal, Montréal, QC, Canada; Département de Psychiatrie, Université de Montréal, Montréal, QC, Canada; Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada
| | - Jacques Montplaisir
- Département de Psychiatrie, Université de Montréal, Montréal, QC, Canada; Hôpital du Sacré-Coeur de Montréal, 67120, Center for Advanced Research in Sleep Medicine, Montréal, QC, Canada
| | - Ziv Gan-Or
- Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada; Montreal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Markus Perola
- Department of Health, National Institute for Health and Welfare, Helsinki, Finland; Institute of Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine, Academy of Science of Czech Republic, Prague, Czech Republic; Biomedical Centre, Faculty of Medicine in Pilsen, Charles University in Prague, Pilsen, Czech Republic
| | - Christian Dina
- Inserm UMR1087, CNRS UMR 6291, Institut du Thorax, Nantes, France; Centre Hospitalier Universitaire (CHU) Nantes, Université de Nantes, France
| | - Andre Franke
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
| | - Lukas Tittmann
- PopGen Biobank and Institute of Epidemiology, Christian Albrechts University Kiel, Kiel, Germany
| | - Alexandre F R Stewart
- John and Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, ON, Canada
| | - Svati H Shah
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Christian Gieger
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany; Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany; German Centre for Diabetes Research (DZD), Neuherberg, Germany
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany; German Centre for Diabetes Research (DZD), Neuherberg, Germany; German Centre for Cardiovascular Disease Research (DZHK), Berlin, Germany
| | - Guy A Rouleau
- Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada; Department of Human Genetics, McGill University, Montréal, QC, Canada; Montreal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Konrad Oexle
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Emanuele Di Angelantonio
- National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK; MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK; NHS Blood and Transplant, Cambridge, UK; National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, UK; British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, UK
| | | | - Bertram Müller-Myhsok
- Max Planck Institute of Psychiatry, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Institute of Human Genetics, Technische Universität München, Munich, Germany; Neurologische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.
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Feng W, Liu S, Zhu R, Li B, Zhu Z, Yang J, Song C. SOX10 induced Nestin expression regulates cancer stem cell properties of TNBC cells. Biochem Biophys Res Commun 2017; 485:522-528. [DOI: 10.1016/j.bbrc.2017.02.014] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2017] [Accepted: 02/05/2017] [Indexed: 01/08/2023]
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