首页|Decoding Human Biology and Disease Using Single-cell Omics Technologies

Decoding Human Biology and Disease Using Single-cell Omics Technologies

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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 ave-nue 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.

Single-cell omicsComputational methodCellular heterogeneityDiseaseCancer research

Qiang Shi、Xueyan Chen、Zemin Zhang

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Biomedical Pioneering Innovation Center,School of Life Sciences,Peking University,Beijing 100871,China

Peking-Tsinghua Center for Life Sciences,Academy for Advanced Interdisciplinary Studies,Peking University,Beijing 100871,China

Changping Laboratory,Beijing 102206,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaBeijing Municipal Science and Technology CommissionChangping Laboratory,ChinaChina Postdoctoral Science FoundationChina Postdoctoral Science FoundationPeking University Boya Postdoctoral FellowshipPostdoctoral Fellowship of Peking-Tsinghua Center for Life Sciences,China

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2023

基因组蛋白质组与生物信息学报(英文版)
中国科学院北京基因组研究所

基因组蛋白质组与生物信息学报(英文版)

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影响因子:0.495
ISSN:1672-0229
年,卷(期):2023.21(5)
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