Decoding Human Biology and Disease Using Single-cell Omics Technologies

被引：1
|
作者：
Shi, Qiang [1 ]
Chen, Xueyan [1 ]
Zhang, Zemin [1 ,2 ,3 ]
机构：
[1] Peking Univ, Sch Life Sci, Biomed Pioneering Innovat Ctr, Beijing 100871, Peoples R China
[2] Peking Univ, Acad Adv Interdisciplinary Studies, Peking Tsinghua Ctr Life Sci, Beijing 100871, Peoples R China
[3] Changping Lab, Beijing 102206, Peoples R China
来源：
GENOMICS PROTEOMICS & BIOINFORMATICS | 2023年 / 21卷 / 05期
基金：
中国博士后科学基金;
关键词：
Single -cell omics; Computational method; Cellular heterogeneity; Disease; Cancer research; GENOME-WIDE DETECTION; REGULATORY NETWORK INFERENCE; RNA-SEQ; HI-C; CHROMATIN ACCESSIBILITY; TRANSCRIPTOME ANALYSIS; METHYLOME LANDSCAPES; GENE-EXPRESSION; EARLY EMBRYOS; STEM-CELLS;
D O I：
10.1016/j.gpb.2023.06.003
中图分类号：
Q3 [遗传学];
学科分类号：
071007 ; 090102 ;
摘要：
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.
引用
收藏
页码：926 / 949
页数：24
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