Decoding Human Biology and Disease Using Single-cell Omics Technologies.

Genomics, proteomics & bioinformatics Pub Date : 2023-10-01 Epub Date: 2023-09-20 DOI:10.1016/j.gpb.2023.06.003
Qiang Shi, Xueyan Chen, Zemin Zhang
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引用次数: 0

Abstract

Over the past decade, advances in single-cell omics (SCO) technologies have enabled the investigation of cellular heterogeneity at an unprecedented resolution and scale, opening a new avenue for understanding human biology and disease. In this review, we summarize the developments of sequencing-based SCO technologies and computational methods, and focus on considerable insights acquired from SCO sequencing studies to understand normal and diseased properties, with a particular emphasis on cancer research. We also discuss the technological improvements of SCO and its possible contribution to fundamental research of the human, as well as its great potential in clinical diagnoses and personalized therapies of human disease.

使用单细胞奥密克戎技术解码人类生物学和疾病。
在过去的十年里,单细胞组学(SCO)技术的进步使人们能够以前所未有的分辨率和规模研究细胞异质性,为理解人类生物学和疾病开辟了一条新的途径。在这篇综述中,我们总结了基于测序的上合组织技术和计算方法的发展,并重点介绍了从上合组织测序研究中获得的大量见解,以了解正常和患病特性,特别强调癌症研究。我们还讨论了上合组织的技术进步,它对人类基础研究的可能贡献,以及它在人类疾病临床诊断和个性化治疗方面的巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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