期刊
NUCLEIC ACIDS RESEARCH
卷 49, 期 D1, 页码 D825-D830出版社
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkaa894
关键词
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资金
- Strategic Priority Research Program of the Chinese Academy of Sciences [XDA16010100, XDB38030200]
- 13th Five-year Informatization Plan of Chinese Academy of Sciences [XXH13505-05]
- National Key Research and Development Program of China [2018YFC2000100, 2017YFA0102802, 2017YFA0103304, 2018YFA0107203]
- National Natural Science Foundation of China [81625009, 91749202, 81861168034, 81921006, 31671429, 91949209, 91749123, 81671377, 81822018]
- Program of the Beijing Municipal Science and Technology Commission [Z191100001519005]
- Beijing Natural Science Foundation [Z190019]
- Beijing Municipal Commission of Health and Family Planning [PXM2018 026283 000002]
- Advanced Innovation Center for Human Brain Protection [35001192012]
- Key Research Program of the Chinese Academy of Sciences [KFZD-SW-221]
- K.C. Wong Education Foundation [GJTD-2019-06, GJTD-2019-08]
- Youth Innovation Promotion Association of CAS [2016093]
- State Key Laboratory of Stem Cell and Reproductive Biology
- State Key Laboratory of Membrane Biology
Organismal aging is driven by interconnected molecular changes, and the combinational analysis of high-throughput 'multi-omics' datasets can provide a multi-dimensional profile of the heterogeneous aging process. The Aging Atlas database aims to provide valuable resources for aging research and explore gene expression and regulation during the aging process.
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.ac.cn/aging/index.
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