Military Medical Research (May 2024)

Spatiotemporal multi-omics: exploring molecular landscapes in aging and regenerative medicine

  • 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

DOI
https://doi.org/10.1186/s40779-024-00537-4
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 37

Abstract

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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.

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