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SingleQ: a comprehensive database of single-cell expression quantitative trait loci (sc-eQTLs) cross human tissues.
Zhou, Zhiwei; Du, Jingyi; Wang, Jianhua; Liu, Liangyi; Gordon, M Gracie; Ye, Chun Jimmie; Powell, Joseph E; Li, Mulin Jun; Rao, Shuquan.
Afiliação
  • 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,
  • Du J; Tianjin Institutes of Health Science, 28 Tuanbo Avenue, Tianjin 301600, China.
  • Wang 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,
  • Liu L; Tianjin Institutes of Health Science, 28 Tuanbo Avenue, Tianjin 301600, China.
  • Gordon MG; 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.
  • Ye CJ; 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,
  • Powell JE; Biological and Medical Informatics Graduate Program, University of California, 500 Parnassus Avenue, San Francisco, CA 94143, USA.
  • Li MJ; Division of Rheumatology, Department of Medicine, University of California, 500 Parnassus Avenue, San Francisco, CA 94143, USA.
  • Rao S; Institute for Human Genetics, University of California, 500 Parnassus Avenue, San Francisco, CA 94143, USA.
Database (Oxford) ; 20242024 Mar 09.
Article em En | MEDLINE | ID: mdl-38459946
ABSTRACT
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Regulação da Expressão Gênica / Locos de Características Quantitativas Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Regulação da Expressão Gênica / Locos de Características Quantitativas Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article