Spatiotemporal multi-omics: exploring molecular landscapes in aging and regenerative medicine
Abstrak
Abstract Aging and regeneration represent complex biological phenomena that have long captivated the scientific community. To fully comprehend these processes, it is essential to investigate molecular dynamics through a lens that encompasses both spatial and temporal dimensions. Conventional omics methodologies, such as genomics and transcriptomics, have been instrumental in identifying critical molecular facets of aging and regeneration. However, these methods are somewhat limited, constrained by their spatial resolution and their lack of capacity to dynamically represent tissue alterations. The advent of emerging spatiotemporal multi-omics approaches, encompassing transcriptomics, proteomics, metabolomics, and epigenomics, furnishes comprehensive insights into these intricate molecular dynamics. These sophisticated techniques facilitate accurate delineation of molecular patterns across an array of cells, tissues, and organs, thereby offering an in-depth understanding of the fundamental mechanisms at play. This review meticulously examines the significance of spatiotemporal multi-omics in the realms of aging and regeneration research. It underscores how these methodologies augment our comprehension of molecular dynamics, cellular interactions, and signaling pathways. Initially, the review delineates the foundational principles underpinning these methods, followed by an evaluation of their recent applications within the field. The review ultimately concludes by addressing the prevailing challenges and projecting future advancements in the field. Indubitably, spatiotemporal multi-omics are instrumental in deciphering the complexities inherent in aging and regeneration, thus charting a course toward potential therapeutic innovations.
Topik & Kata Kunci
Penulis (21)
Liu-Xi Chu
Wen-Jia Wang
Xin-Pei Gu
Ping Wu
Chen Gao
Quan Zhang
Jia Wu
Da-Wei Jiang
Jun-Qing Huang
Xin-Wang Ying
Jia-Men Shen
Yi Jiang
Li-Hua Luo
Jun-Peng Xu
Yi-Bo Ying
Hao-Man Chen
Ao Fang
Zun-Yong Feng
Shu-Hong An
Xiao-Kun Li
Zhou-Guang Wang
Akses Cepat
- Tahun Terbit
- 2024
- Sumber Database
- DOAJ
- DOI
- 10.1186/s40779-024-00537-4
- Akses
- Open Access ✓