Single-cell omics: experimental workflow, data analyses and applications
作者机构：Department of Clinical Laboratorythe Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City) Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang University Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University)Ministry of EducationOrthopaedic DepartmentTongji HospitalBioinformatics DepartmentSchool of Life Sciences and TechnologyTongji University Frontier Science Center for Stem CellsSchool of Life Sciences and TechnologyTongji University Translational Medical Center for Stem Cell Therapy and Institute for Regenerative MedicineShanghai East HospitalBioinformatics DepartmentSchool of Life Sciences and TechnologyTongji University Research Institute of Intelligent ComputingZhejiang Lab Shanghai Research Institute for Intelligent Autonomous Systems Center for Single-cell OmicsSchool of Public HealthShanghai Jiao Tong University School of Medicine National Key Laboratory of Chinese Medicine ModernizationInnovation Center of Yangtze River DeltaZhejiang University Center for Bioinformatics and Computational BiologyShanghai Key Laboratory of Regulatory Biologythe Institute of Biomedical Sciences and School of Life SciencesEast China Normal University Beijing Institutes of Life ScienceChinese Academy of Sciences Peking-Tsinghua Center for Life SciencesAcademy for Advanced Interdisciplinary StudiesCenter for Quantitative Biology (CQB)Peking University Zhejiang Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological DiseasesWomen's HospitalZhejiang University School of Medicine Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOESchool of StatisticsEast China Normal University
出 版 物：《Science China Life Sciences》 (中国科学:生命科学(英文版))
年 卷 期：2025年第68卷第1期
页 面：5-102页
核心收录：
学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0711[理学-系统科学] 07[理学] 08[工学]
基 金：supported by the National Natural Science Foundation of China (32130020, 32025009, 82030099, 30700397, 31970638, 61572361, 81973701, U23A20513, 32222026, 82373446) the National Key Research and Development Program of China (2021YFF1201200, 2021YFF1200900, 2022YFA1106000) the Shanghai Municipal Science and Technology Major Project (2017SHZDZX01) the Fundamental Research Funds for the Central Universities (20002150110, 22120230292) Beihang University & Capital Medical University Plan (BHME-201904) the Special Fund of the Pediatric Medical Coordinated Development Center of Beijing Hospitals Authority (XTCX201809) the Cooperative Research Fund of the Affiliated Wuhu Hospital of East China Normal University (40500-20104-222400) the Fundamental Research Funds for the Central Universities (226-2024-00001) the Shanghai Municipal Science and Technology Commission “Science and Technology Innovation Action Plan” technical standard project (21DZ2201700), the Shanghai Municipal Science and Technology Commission “Science and Technology Innovation Action Plan” natural science foundation project (23ZR1435800) the Shanghai Natural Science Foundation Program (17ZR1449400) the Shanghai Artificial Intelligence Technology Standard Project (19DZ2200900) the Open Research Fund of Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, ECNU, Key Laboratory of MEA, Ministry of Education, ECNU
主 题：single-cell sequencing genome epigenome proteomics metabolomics multimodal spatial transcriptomics CRISPR screening
摘 要：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 sc RNA-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.
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