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Single-cell omics: experimental workflow, data analyses and applications 被引量:9
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作者 Fengying Sun Haoyan Li +16 位作者 Dongqing Sun Shaliu Fu Lei Gu Xin Shao Qinqin Wang Xin Dong Bin Duan feiyang xing Jun Wu Minmin Xiao Fangqing Zhao Jing-Dong J.Han Qi Liu Xiaohui Fan Chen Li Chenfei Wang Tieliu Shi 《Science China(Life Sciences)》 2025年第1期5-102,共98页
Cells are the fundamental units of biological systems and exhibit unique development trajectories and molecular features.Our exploration of how the genomes orchestrate the formation and maintenance of each cell,and co... Cells are the fundamental units of biological systems and exhibit unique development trajectories and molecular features.Our exploration of how the genomes orchestrate the formation and maintenance of each cell,and control the cellular phenotypes of various organismsis,is both captivating and intricate.Since the inception of the first single-cell RNA technology,technologies related to single-cell sequencing have experienced rapid advancements in recent years.These technologies have expanded horizontally to include single-cell genome,epigenome,proteome,and metabolome,while vertically,they have progressed to integrate multiple omics data and incorporate additional information such as spatial scRNA-seq and CRISPR screening.Single-cell omics represent a groundbreaking advancement in the biomedical field,offering profound insights into the understanding of complex diseases,including cancers.Here,we comprehensively summarize recent advances in single-cell omics technologies,with a specific focus on the methodology section.This overview aims to guide researchers in selecting appropriate methods for single-cell sequencing and related data analysis. 展开更多
关键词 single-cell sequencing genome EPIGENOME PROTEOMICS metabolomics multimodal spatial transcriptomics CRISPR screening
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