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GEPREP: 基于RNA-seq的运动反应基因表达特征的综合数据图谱

Lei Sun¹, Jinwen Luan², Jinbiao Wang³

¹School of Information Engineering, Yangzhou University, Yangzhou 225127, China; 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.

Journal of sport and health science

|September 28, 2024

概括

一个新的数据图谱,GEPREP,组织了对运动反应的RNA测序数据. 本资源增强了对因体力活动而发生的基因表达变化的研究.

科学领域:

基因组学和运动生理学
生物信息学和数据科学

背景情况:

身体活动会影响各种组织和细胞的基因表达.
关于运动反应的公开可用的RNA测序 (RNA-seq) 数据丰富,但由于治愈不良,往往未得到充分利用.
对于与运动相关的基因表达数据,需要一个有组织的,可访问的资源.

研究的目的:

为基于RNA测序的基因表达特征开发一个全面的数据图谱,与运动相关.
提高现有的运动基因组学数据的可访问性和可用性.

主要方法:

收集并策划了高质量的RNA测序数据集,用于运动反应.
每个样本的元数据是手动策划的,确保数据的质量和一致性.
统一处理数据,纠正批量效应,并在可访问的网站上组织信息.

主要成果:

GEPREP地图集包含69个RNA-seq数据集 (26人,43只小鼠) 共有2126个样本.
人类样本主要包括骨肌肉 (87.2%) 和血液 (12.8%).
鼠标样本涵盖9种组织,其中骨肌肉 (35.7%) 和大脑 (27.8%) 是最多的.

结论:

GEPREP为RNA-seq关于运动诱导的基因表达变化的数据提供了一个有价值的,全面的资源.
该图谱的可靠注释和用户友好的界面有助于更深入地了解运动生理学.
这种资源有可能促进运动基因组学和个性化健康方面的研究.

关键词:

数据库数据库数据库是一个数据库.运动干预运动干预转录量化的量化转录.

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