Aging Atlas: a multi-omics database for aging biology

作者：Guang‐Hui Liu, Yīmíng Bào, Jing Qu, Weiqi Zhang, Tāo Zhāng, Wang Kang, Fei Yang, Qianzhao Ji, Xiaoyu Jiang, Yingke Ma, Shuai Ma, Zunpeng Liu, Siyu Chen, Si Wang, Shuhui Sun, Lingling Geng, Kaowen Yan, Pengze Yan, Yanling Fan, Moshi Song, Jie Ren, Qiaoran Wang, Shanshan Yang, Yuanhan Yang, Muzhao Xiong, Chuqiang Liang, Lan‐Zhu Li, Tianling Cao, Jianli Hu, Ping Yang, Jiale Ping, Huifang Hu, Yandong Zheng, Guoqiang Sun, Jiaming Li, Lixiao Liu, Zhiran Zou, Yingjie Ding, Mingheng Li, Di Liu, Min Wang, Qianzhao Ji, Xiaoyan Sun, Cui Wang, Shijia Bi, Hezhen Shan, Xiao Zhuo · 发表于：Nucleic Acids Research · 年份：2020 · DOI：10.1093/nar/gkaa894 · 被引用次数：351 · 研究领域：Genetics, Aging, and Longevity in Model Organisms、Single-cell and spatial transcriptomics、Epigenetics and DNA Methylation

Organismal aging is driven by interconnected molecular changes encompassing internal and extracellular factors. Combinational analysis of high-throughput 'multi-omics' datasets (gathering information from genomics, epigenomics, transcriptomics, proteomics, metabolomics and pharmacogenomics), at either populational or single-cell levels, can provide a multi-dimensional, integrated profile of the heterogeneous aging process with unprecedented throughput and detail. These new strategies allow for the exploration of the molecular profile and regulatory status of gene expression during aging, and in turn, facilitate the development of new aging interventions. With a continually growing volume of valuable aging-related data, it is necessary to establish an open and integrated database to support a wide spectrum of aging research. The Aging Atlas database aims to provide a wide range of life science researchers with valuable resources that allow access to a large-scale of gene expression and regulation datasets created by various high-throughput omics technologies. The current implementation includes five modules: transcriptomics (RNA-seq), single-cell transcriptomics (scRNA-seq), epigenomics (ChIP-seq), proteomics (protein-protein interaction), and pharmacogenomics (geroprotective compounds). Aging Atlas provides user-friendly functionalities to explore age-related changes in gene expression, as well as raw data download services. Aging Atlas is freely available at https://bigd.big...