Background:Exercise induces molecular changes that involve multiple organs and tissues.Moreover,these changes are modulated by various exercise parameters—such as intensity,frequency,mode,and duration—as well as by ...Background:Exercise induces molecular changes that involve multiple organs and tissues.Moreover,these changes are modulated by various exercise parameters—such as intensity,frequency,mode,and duration—as well as by clinical features like gender,age,and body mass index(BMI),each eliciting distinct biological effects.To assist exercise researchers in understanding these changes from a comprehensive perspective that includes multiple organs,diverse exercise regimens,and a range of clinical features,we developed Exercise Regulated Genes Database(ExerGeneDB),a database of exercise-regulated differential genes.Methods:ExerGeneDB aggregated publicly available exercise-related sequencing datasets and subjected them to uniform quality control and preprocessing.The data,encompassing a variety of types,were organized into a specialized database of exercise-regulated genes.Notably,Exer-GeneDB conducted differential analyses on this collected data,leveraging curated clinical information and accounting for important factors such as gender,age,and BMI.Results:ExerGeneDB has assembled 1692 samples from rats and mice as well as 4492 human samples.It contains data from various tissues and organs,such as skeletal muscle,blood,adipose tissue,intestine,heart,liver,spleen,lungs,kidneys,brain,spinal cord,bone marrow,and bones.ExerGeneDB features bulk ribonucleic acid sequencing(RNA-seq)(including non-coding RNA(ncRNA)and protein-coding RNA),microarray(including ncRNA and protein-coding RNA),and single cell RNA-seq data.Conclusion:ExerGeneDB compiles and re-analyzes exercise-related data with a focus on clinical information.This has culminated in the crea-tion of an interactive database for exercise regulation genes.The website for ExerGeneDB can be found at:https://exergenedb.com.展开更多
基金supported by grants from the National Natural Science Foundation of China(82225005, 82020108002 to JX,82200321 to QZ)Science and Technology Commission of ShanghaiMunicipality(23410750100,20DZ2255400,, 21XD1421300 to JX)+1 种基金the“Dawn”Program of Shanghai Educa-tion Commission(19SG34 to JX)Shanghai Sailing Program(21YF1413200 to QZ).
文摘Background:Exercise induces molecular changes that involve multiple organs and tissues.Moreover,these changes are modulated by various exercise parameters—such as intensity,frequency,mode,and duration—as well as by clinical features like gender,age,and body mass index(BMI),each eliciting distinct biological effects.To assist exercise researchers in understanding these changes from a comprehensive perspective that includes multiple organs,diverse exercise regimens,and a range of clinical features,we developed Exercise Regulated Genes Database(ExerGeneDB),a database of exercise-regulated differential genes.Methods:ExerGeneDB aggregated publicly available exercise-related sequencing datasets and subjected them to uniform quality control and preprocessing.The data,encompassing a variety of types,were organized into a specialized database of exercise-regulated genes.Notably,Exer-GeneDB conducted differential analyses on this collected data,leveraging curated clinical information and accounting for important factors such as gender,age,and BMI.Results:ExerGeneDB has assembled 1692 samples from rats and mice as well as 4492 human samples.It contains data from various tissues and organs,such as skeletal muscle,blood,adipose tissue,intestine,heart,liver,spleen,lungs,kidneys,brain,spinal cord,bone marrow,and bones.ExerGeneDB features bulk ribonucleic acid sequencing(RNA-seq)(including non-coding RNA(ncRNA)and protein-coding RNA),microarray(including ncRNA and protein-coding RNA),and single cell RNA-seq data.Conclusion:ExerGeneDB compiles and re-analyzes exercise-related data with a focus on clinical information.This has culminated in the crea-tion of an interactive database for exercise regulation genes.The website for ExerGeneDB can be found at:https://exergenedb.com.
