空间多词：多摩斯及其应用的一体化技术格局
Spatial multi-omics: deciphering technological landscape of integration of multi-omics and its applications
影响因子:40.40000
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
摘要
空间多词的出现有助于解决单细胞测序的局限性，这通常会导致细胞群体之间的空间环境丧失。基因组，转录组，蛋白质组，代谢组和表观基因组的综合分析增强了我们对细胞生物学的理解和人类疾病的分子基础。此外，这种方法对人类疾病的发育，生理和发病机理涉及的细胞内和细胞间分子机制之间的相互作用提供了深刻的见解。在这项全面的综述中，我们研究了多摩斯技术的当前进步，重点是过去十年的发展和完善，包括改善吞吐量和分辨率，模态整合和准确性。我们还讨论了空间多摩学在揭示空间异质性，构建详细的空间地图集，在肿瘤免疫学中解密的空间串扰以及通过精确的空间映射进行转化和癌症治疗的关键作用。
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.