空间多组学：解析多组学整合的技术格局及其应用
Spatial multi-omics: deciphering technological landscape of integration of multi-omics and its applications
DOI 原文链接
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影响因子:40.4
分区:医学1区 Top / 血液学1区 肿瘤学1区
发表日期:2024 Aug 24
作者:
Xiaojie Liu, Ting Peng, Miaochun Xu, Shitong Lin, Bai Hu, Tian Chu, Binghan Liu, Yashi Xu, Wencheng Ding, Li Li, Canhui Cao, Peng Wu
DOI:
10.1186/s13045-024-01596-9
摘要
空间多组学的出现，有助于解决单细胞测序的局限性，后者常导致细胞群体的空间上下文信息丢失。基因组、转录组、蛋白质组、代谢组和表观遗传组的整合分析，增强了我们对细胞生物学和人类疾病分子基础的理解。此外，该方法深入揭示了细胞内及细胞间分子机制在疾病发生、生命活动和发病机制中的相互作用。在这篇全面综述中，我们回顾了多组学技术的最新进展，重点关注过去十年的发展与优化，包括通量和分辨率的提升、多模态整合以及准确性。我们还讨论了空间多组学在揭示空间异质性、构建详细的空间图谱、解析肿瘤免疫中的空间交互作用以及通过精准空间映射推动转化研究和癌症治疗中的关键贡献。
Abstract
The emergence of spatial multi-omics has helped address the limitations of single-cell sequencing, which often leads to the loss of spatial context among cell populations. Integrated analysis of the genome, transcriptome, proteome, metabolome, and epigenome has enhanced our understanding of cell biology and the molecular basis of human diseases. Moreover, this approach offers profound insights into the interactions between intracellular and intercellular molecular mechanisms involved in the development, physiology, and pathogenesis of human diseases. In this comprehensive review, we examine current advancements in multi-omics technologies, focusing on their evolution and refinement over the past decade, including improvements in throughput and resolution, modality integration, and accuracy. We also discuss the pivotal contributions of spatial multi-omics in revealing spatial heterogeneity, constructing detailed spatial atlases, deciphering spatial crosstalk in tumor immunology, and advancing translational research and cancer therapy through precise spatial mapping.