GEPREP:A comprehensive data atlas of RNA-seq-based gene expression profiles of exercise responses  

作　　者：Lei Sun Jinwen Luan Jinbiao Wang Xiaoli Li Wenqian Zhang Xiaohui Ji Longhua Liu Ru Wang Bingxiang Xu 

机构地区：[1]School of Information Engineering,Yangzhou University,Yangzhou 225127,China [2]CAS Key Laboratory of Genome Sciences and Information,Beijing Institute of Genomics,Chinese Academy of Sciences,and China National Center for Bioinformation,Beijing 100101,China [3]School of Exercise and Health,Shanghai University of Sport,Shanghai 200438,China [4]Laboratory of Developmental Biology,Department of Cell Biology and Genetics,School of Basic Medical Sciences,Chongqing Medical University,Chongqing 400016,China

出　　处：《Journal of Sport and Health Science》2025年第1期142-154,共13页运动与健康科学(英文)

基　　金：supported by grants from the Shanghai“Science and Technology Innovation Action Plan”Social Development Science and Technology Reach Project(22dz1204600);Shanghai Sports Science and Technology Program(24C002);the National Key R&D Program of China(2020YFA0803800);the National Natural Science Foundation of China(32200515,32271226);Shanghai Municipal Science and Technology Committee of Shanghai outstanding academic leaders plan(21XD1403200).

摘　　要：Background Physical activity can regulate and affect gene expression in multiple tissues and cells.Recently,with the development of next-generation sequencing,a large number of RNA-sequencing(RNA-seq)-based gene expression profiles about physical activity have been shared in public resources;however,they are poorly curated and underutilized.To tackle this problem,we developed a data atlas of such data through comprehensive data collection,curation,and organization.Methods The data atlas,termed gene expression profiles of RNA-seq-based exercise responses(GEPREP),was built on a comprehensive collection of high-quality RNA-seq data on exercise responses.The metadata of each sample were manually curated.Data were uniformly processed and batch effects corrected.All the information was well organized in an easy-to-use website for free search,visualization,and download.Results GEPREP now includes 69 RNA-seq datasets of pre-and post-exercise,comprising 26 human datasets(1120 samples)and 43 mouse datasets(1006 samples).Specifically,there were 977(87.2%)human samples of skeletal muscle and 143(12.8%)human samples of blood.There were also samples across 9 mice tissues with skeletal muscle(359,35.7%)and brain(280,27.8%)accounting for the main fractions.Metadata—including subject,exercise interventions,sampling sites,and post-processing methods—are also included.The metadata and gene expression profiles are freely accessible at http://www.geprep.org.cn/.Conclusion GEPREP is a comprehensive data atlas of RNA-seq-based gene expression profiles responding to exercise.With its reliable annotations and user-friendly interfaces,it has the potential to deepen our understanding of exercise physiology.

关 键 词：Database Sports intervention Transcription quantification 

分 类 号：R87[医药卫生—运动医学] G804.2[医药卫生—临床医学]