دورية أكاديمية
SingleQ: a comprehensive database of single-cell expression quantitative trait loci (sc-eQTLs) cross human tissues.
العنوان: | SingleQ: a comprehensive database of single-cell expression quantitative trait loci (sc-eQTLs) cross human tissues. |
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المؤلفون: | Zhou Z; State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 288 Nanjing Road, Tianjin 300020, China.; Tianjin Institutes of Health Science, 28 Tuanbo Avenue, Tianjin 301600, China., Du J; State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 288 Nanjing Road, Tianjin 300020, China.; Tianjin Institutes of Health Science, 28 Tuanbo Avenue, Tianjin 301600, China., Wang J; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, 22 Qixiangtai Road, Tianjin 300070, China., Liu L; State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 288 Nanjing Road, Tianjin 300020, China., Gordon MG; Biological and Medical Informatics Graduate Program, University of California, 500 Parnassus Avenue, San Francisco, CA 94143, USA.; Division of Rheumatology, Department of Medicine, University of California, 500 Parnassus Avenue, San Francisco, CA 94143, USA.; Institute for Human Genetics, University of California, 500 Parnassus Avenue, San Francisco, CA 94143, USA.; Department of Bioengineering and Therapeutic Sciences, University of California, 500 Parnassus Avenue, San Francisco, CA 94143, USA., Ye CJ; Division of Rheumatology, Department of Medicine, University of California, 500 Parnassus Avenue, San Francisco, CA 94143, USA.; Institute for Human Genetics, University of California, 500 Parnassus Avenue, San Francisco, CA 94143, USA.; Rosalind Russell/Ephraim P. Engleman Rheumatology Research Center, University of California, 500 Parnassus Avenue, San Francisco, CA 94143, USA.; Department of Epidemiology and Biostatistics, University of California, 500 Parnassus Avenue, San Francisco, CA 94143, USA.; Parker Institute for Cancer Immunotherapy, University of California, 500 Parnassus Avenue, San Francisco, CA 94143, USA.; Chan Zuckerberg Biohub, 499 Illinois Street, San Francisco, CA 94158, USA.; Bakar Computational Health Sciences Institute, University of California, 500 Parnassus Avenue, San Francisco, CA 94143, USA., Powell JE; Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, 384 Victoria Street, Sydney, NSW 2010, Australia.; UNSW Cellular Genomics Futures Institute, University of New South Wales, UNSW Sydney, Sydney, NSW 2052, Australia., Li MJ; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, 22 Qixiangtai Road, Tianjin 300070, China., Rao S; State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 288 Nanjing Road, Tianjin 300020, China.; Tianjin Institutes of Health Science, 28 Tuanbo Avenue, Tianjin 301600, China. |
المصدر: | Database : the journal of biological databases and curation [Database (Oxford)] 2024 Mar 09; Vol. 2024. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Oxford Journals Country of Publication: England NLM ID: 101517697 Publication Model: Print Cited Medium: Internet ISSN: 1758-0463 (Electronic) Linking ISSN: 17580463 NLM ISO Abbreviation: Database (Oxford) Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: Oxford : Oxford Journals, 2009- |
مواضيع طبية MeSH: | Quantitative Trait Loci*/genetics , Gene Expression Regulation*, Humans ; RNA-Seq ; Genomics ; Genome-Wide Association Study ; Polymorphism, Single Nucleotide |
مستخلص: | Mapping of expression quantitative trait loci (eQTLs) and other molecular QTLs can help characterize the modes of action of disease-associated genetic variants. However, current eQTL databases present data from bulk RNA-seq approaches, which cannot shed light on the cell type- and environment-specific regulation of disease-associated genetic variants. Here, we introduce our Single-cell eQTL Interactive Database which collects single-cell eQTL (sc-eQTL) datasets and provides online visualization of sc-eQTLs across different cell types in a user-friendly manner. Although sc-eQTL mapping is still in its early stage, our database curates the most comprehensive summary statistics of sc-eQTLs published to date. sc-eQTL studies have revolutionized our understanding of gene regulation in specific cellular contexts, and we anticipate that our database will further accelerate the research of functional genomics. Database URL: http://www.sqraolab.com/scqtl. (© The Author(s) 2024. Published by Oxford University Press.) |
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معلومات مُعتمدة: | 21JCQNJC01220 Tianjin Municipal Science and Technology Commission Grant; 2021-RC310-015 Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences; 2022XAGG0142 Science, Technology & Innovation Project of Xiongan New Area; P30 AR070155 United States AR NIAMS NIH HHS; 2021-I2M-1-041 CAMS Innovation Fund for Medical Sciences (CIFMS); 2021YFA1102300 National Key R&D Program of China |
تواريخ الأحداث: | Date Created: 20240309 Date Completed: 20240311 Latest Revision: 20240612 |
رمز التحديث: | 20240612 |
مُعرف محوري في PubMed: | PMC10924434 |
DOI: | 10.1093/database/baae010 |
PMID: | 38459946 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1758-0463 |
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DOI: | 10.1093/database/baae010 |