Immunology Driven by Large-Scale Single-Cell Sequencing

被引：50
|
作者：
Gomes, Tomas [1 ]
Teichmann, Sarah A. [1 ,2 ,3 ]
Talavera-Lopez, Carlos [1 ,2 ]
机构：
[1] Wellcome Sanger Inst, Wellcome Genome Campus, Hinxton, England
[2] EBI, EMBL, Wellcome Genome Campus, Hinxton, England
[3] Univ Cambridge, Dept Phys, Cavendish Lab, Theory Condensed Matter, Cambridge, England
来源：
TRENDS IN IMMUNOLOGY | 2019年 / 40卷 / 11期
基金：
欧盟地平线“2020”;
关键词：
REGULATORY NETWORK INFERENCE; RNA-SEQ; CHROMATIN ACCESSIBILITY; CLONALITY INFERENCE; EXPRESSION; RECONSTRUCTION; HETEROGENEITY; EPITOPE; LEVEL;
D O I：
10.1016/j.it.2019.09.004
中图分类号：
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号：
100102 ;
摘要：
The immune system encompasses a large degree of phenotypic diversity and plasticity in its cell types, and more is to be uncovered. We argue that large, multiomic datasets of single-cell resolution, in conjunction with improved computational methods, will be essential to resolving immune cell identity. Existing datasets, combined with 'big data' methodologies, can serve as platform to support future studies in immunology. Technical and analytical advances in multio-mies and spatial integration can provide a reference for gene regulation and cellular interaction! in spatially structured tissue contexts. We posit that these developments may allow guided functional studies of immune cell populations and lay the groundwork for informed cell engineering and precision medicine.
引用
收藏
页码：1011 / 1021
页数：11
相关论文
共 50 条
  • [1] Single-cell RNA Sequencing in Immunology
    Cao, Yirui
    Qiu, Yue
    Tu, Guowei
    Yang, Cheng
    CURRENT GENOMICS, 2020, 21 (08) : 564 - 575
  • [2] Benchmarking principal component analysis for large-scale single-cell RNA-sequencing
    Koki Tsuyuzaki
    Hiroyuki Sato
    Kenta Sato
    Itoshi Nikaido
    Genome Biology, 21
  • [3] Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing
    Dmitry Usoskin
    Alessandro Furlan
    Saiful Islam
    Hind Abdo
    Peter Lönnerberg
    Daohua Lou
    Jens Hjerling-Leffler
    Jesper Haeggström
    Olga Kharchenko
    Peter V Kharchenko
    Sten Linnarsson
    Patrik Ernfors
    Nature Neuroscience, 2015, 18 : 145 - 153
  • [4] Benchmarking principal component analysis for large-scale single-cell RNA-sequencing
    Tsuyuzaki, Koki
    Sato, Hiroyuki
    Sato, Kenta
    Nikaido, Itoshi
    GENOME BIOLOGY, 2020, 21 (01)
  • [5] Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing
    Usoskin, Dmitry
    Furlan, Alessandro
    Islam, Saiful
    Abdo, Hind
    Lonnerberg, Peter
    Lou, Daohua
    Hjerling-Leffler, Jens
    Haeggstrom, Jesper
    Kharchenko, Olga
    Kharchenko, Peter V.
    Linnarsson, Sten
    Ernfors, Patrik
    NATURE NEUROSCIENCE, 2015, 18 (01) : 145 - +
  • [6] Revolutionizing immunology with single-cell RNA sequencing
    Chen, Haide
    Ye, Fang
    Guo, Guoji
    CELLULAR & MOLECULAR IMMUNOLOGY, 2019, 16 (03) : 242 - 249
  • [7] Revolutionizing immunology with single-cell RNA sequencing
    Haide Chen
    Fang Ye
    Guoji Guo
    Cellular & Molecular Immunology, 2019, 16 : 242 - 249
  • [8] Large-scale foundation model on single-cell transcriptomics
    Hao, Minsheng
    Gong, Jing
    Zeng, Xin
    Liu, Chiming
    Guo, Yucheng
    Cheng, Xingyi
    Wang, Taifeng
    Ma, Jianzhu
    Zhang, Xuegong
    Song, Le
    NATURE METHODS, 2024, 21 (08) : 1481 - 1491
  • [9] Large-scale neurophysiology and single-cell profiling in human neuroscience
    Lee, Anthony T.
    Chang, Edward F.
    Paredes, Mercedes F.
    Nowakowski, Tomasz J.
    NATURE, 2024, 630 (8017) : 587 - 595
  • [10] SCEMENT: scalable and memory efficient integration of large-scale single-cell RNA-sequencing data
    Chockalingam, Sriram P.
    Aluru, Maneesha
    Aluru, Srinivas
    BIOINFORMATICS, 2025, 41 (02)
12345