Single Cell Omics: From Assay Design to Biomedical Application

被引:33
作者
Chen, Wenyi [1 ]
Li, Shumin [1 ]
Kulkarni, Anuja Shreeram [2 ]
Huang, Lin [2 ]
Cao, Jing [2 ]
Qian, Kun [2 ]
Wan, Jingjing [1 ]
机构
[1] East China Normal Univ, Sch Chem & Mol Engn, Shanghai 200241, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Biomed Engn, Med X Res Inst, Shanghai 200030, Peoples R China
基金
中国国家自然科学基金;
关键词
biomedical; cell heterogeneity; omics; single cell; CIRCULATING TUMOR-CELLS; MESSENGER-RNA-SEQ; MASS-SPECTROMETRY; MULTI-OMICS; YEAST-CELLS; CANCER; AMPLIFICATION; REVEALS; TECHNOLOGIES; METABOLOMICS;
D O I
10.1002/biot.201900262
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Given the existence of cell heterogeneity, single cell analysis is undergoing a rapid expansion for life science and precision medicine. Recent numerous innovations in analytical platforms and instruments have re-energized the field and led to the emergence of single cell omics with high sensitivity, throughput and multiplexity. The omics knowledge builds the bridge between underlying molecular changes and cell behavior, and facilitates a deeper understanding of disease development processes. Here, the authors highlight important achievements of single cell omics mainly including genomics, epigenomics, transcriptomics, proteomics, and metabolomics, and discuss the biomedical applications of single cell omics in stem cells differentiation, immune cells function, nerve cells development and activity, and circulating tumor cells based cancer research.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Exploring long non-coding RNA networks from single cell omics data
    Zhao, Xue
    Lan, Yangming
    Chen, Dijun
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2022, 20 : 4381 - 4389
  • [32] Single-cell and spatial omics: exploring hypothalamic heterogeneity
    Junaid, Muhammad
    Lee, Eun Jeong
    Lim, Su Bin
    NEURAL REGENERATION RESEARCH, 2025, 20 (06) : 1525 - 1540
  • [33] Dissecting human disease with single-cell omics: application in model systems and in the clinic
    Strzelecka, Paulina M.
    Ranzoni, Anna M.
    Cvejic, Ana
    DISEASE MODELS & MECHANISMS, 2018, 11 (11)
  • [34] Deciphering plant cell-cell communications using single-cell omics data
    Jin, Jingjing
    Yu, Shizhou
    Lu, Peng
    Cao, Peijian
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2023, 21 : 3690 - 3695
  • [35] Applications of single-cell omics for chimeric antigen receptor T cell therapy
    Ghaffari, Sasan
    Saleh, Mahshid
    Akbari, Behnia
    Ramezani, Faezeh
    Mirzaei, Hamid Reza
    IMMUNOLOGY, 2024, 171 (03) : 339 - 364
  • [36] Use of Single-Cell -Omic Technologies to Study the Gastrointestinal Tract and Diseases, From Single Cell Identities to Patient Features
    Islam, Mirazul
    Chen, Bob
    Spraggins, Jeffrey M.
    Kelly, Ryan T.
    Lau, Ken S.
    GASTROENTEROLOGY, 2020, 159 (02) : 453 - +
  • [37] Chemical tagging mass spectrometry: an approach for single-cell omics
    Lu, Haiyan
    Zhang, Hua
    Li, Lingjun
    ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2023, 415 (28) : 6901 - 6913
  • [38] Decoding the blueprints of embryo development with single-cell and spatial omics
    Liu, Chang
    Li, Xuerong
    Hu, Qinan
    Jia, Zihan
    Ye, Qing
    Wang, Xianzhe
    Zhao, Kaichen
    Liu, Longqi
    Wang, Mingyue
    SEMINARS IN CELL & DEVELOPMENTAL BIOLOGY, 2025, 167 : 22 - 39
  • [39] Genetic Hallmarks and Heterogeneity of Glioblastoma in the Single-Cell Omics Era
    Degl'Innocenti, Andrea
    di Leo, Nicoletta
    Ciofani, Gianni
    ADVANCED THERAPEUTICS, 2020, 3 (01)
  • [40] Single-cell sequencing to multi-omics: technologies and applications
    Wu, Xiangyu
    Yang, Xin
    Dai, Yunhan
    Zhao, Zihan
    Zhu, Junmeng
    Guo, Hongqian
    Yang, Rong
    BIOMARKER RESEARCH, 2024, 12 (01)