Year: 2023
Type: review
Abstract: Organismal aging exhibits wide-ranging hallmarks in divergent cell types across tissues, organs, and systems. The advancement of single-cell technologies and generation of rich datasets have afforded the scientific community the opportunity to decode these hallmarks of aging at an unprecedented scope and resolution. In this review, we describe the technological advancements and bioinformatic methodologies enabling data interpretation at the cellular level. Then, we outline the application of such technologies for decoding aging hallmarks and potential intervention targets and summarize common themes and context-specific molecular features in representative organ systems across the body. Finally, we provide a brief summary of available databases relevant for aging research and present an outlook on the opportunities in this emerging field.
Authors: Shuai Ma, Xu Chi, Yusheng Cai, Zhejun Ji, Si Wang, Jie Ren, Guang-Hui Liu
Institutions: Chinese Academy of Sciences, Institute of Zoology, State Key Laboratory of Membrane Biology, Beijing Institute for Stem Cell and Regenerative Medicine, Beijing Institute of Genomics, State Key Laboratory of Stem Cell and Reproductive Biology, Capital Medical University, Xuan Wu Hospital of the Capital Medical University, University of Chinese Academy of Sciences
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
Awards: G1117754195, G1187093019, G1316309003, G1500470957, G1943491234, G2015743494, G2053118874, G2480675241, G2522891566, G3308138874, G3813371, G3852078645, G4143819472, G4481402905, G4870708093, G5163844036, G5476282740, G5815346902, G6255687796, G6409886023, G6684708555, G6794597646, G6844520676, G7577046167, RNA m6A调控R-loop结构稳态作用机制研究, G7819028244, G8213732483, G824452537, G8322985783, G8363897453, G964420151
OpenAlex ID: W4367040780