Single Cell RNA Sequencing of Rare immune Cell Populations

被引:84
作者
Nguyen, Akira [1 ,2 ]
Khoo, Weng Hua [3 ,4 ]
Moran, Imogen [1 ,2 ]
Croucher, Peter I. [2 ,3 ]
Phan, Tri Giang [1 ,2 ]
机构
[1] Garvan Inst Med Res, Div Immunol, Darlinghurst, NSW, Australia
[2] Univ New South Wales, St Vincents Clin Sch, Fac Med, Darlinghurst, NSW, Australia
[3] Garvan Inst Med Res, Bone Biol Div, Darlinghurst, NSW, Australia
[4] Univ New South Wales, Sch Biotechnol & Biomol Sci, Kensington, NSW, Australia
来源
FRONTIERS IN IMMUNOLOGY | 2018年 / 9卷
基金
澳大利亚国家健康与医学研究理事会; 英国医学研究理事会;
关键词
single cell RNA sequencing; memory B cells; dormant cancer cells; niche; two-photon microscopy; GENE-EXPRESSION; TRANSCRIPTOMIC ANALYSIS; SPATIAL RECONSTRUCTION; T-CELLS; IN-VIVO; SEQ; QUANTIFICATION; HETEROGENEITY; VISUALIZATION; LANDSCAPE;
D O I
10.3389/fimmu.2018.01553
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Single-cell RNA sequencing (scRNA-Seq) is transforming our ability to characterize cells, particularly rare cells that are often overlooked in bulk population analytical approaches. This has lead to the discovery of new cell types and cellular states that echo the underlying heterogeneity and plasticity in the immune system. Technologies for the capture, sequencing, and bioinformatic analysis of single cells are rapidly improving, and scRNA-Seq is now becoming much more accessible to non-specialized laboratories. Here, we describe our experiences in adopting scRNA-Seq to the study of rare immune cells in their microanatomical niches.
引用
收藏
页数:11
相关论文
共 75 条
  • [1] Psychrophilic proteases dramatically reduce single-cell RNA-seq artifacts: a molecular atlas of kidney development
    Adam, Mike
    Potter, Andrew S.
    Potter, S. Steven
    [J]. DEVELOPMENT, 2017, 144 (19): : 3625 - 3632
  • [2] Cell fixation and preservation for droplet-based single-cell transcriptomics
    Alles, Jonathan
    Karaiskos, Nikos
    Praktiknjo, Samantha D.
    Grosswendt, Stefanie
    Wahle, Philipp
    Ruffault, Pierre-Louis
    Ayoub, Salah
    Schreyer, Luisa
    Boltengagen, Anastasiya
    Birchmeier, Carmen
    Zinzen, Robert
    Kocks, Christine
    Rajewsky, Nikolaus
    [J]. BMC BIOLOGY, 2017, 15
  • [3] Andrews T. S., 2017, BIORXIV, DOI [10.1101/065094, DOI 10.1101/065094]
  • [4] Identifying cell populations with scRNASeq
    Andrews, Tallulah S.
    Hemberg, Martin
    [J]. MOLECULAR ASPECTS OF MEDICINE, 2018, 59 : 114 - 122
  • [5] [Anonymous], 2015, WIDESPREAD CRITICAL
  • [6] Design and computational analysis of single-cell RNA-sequencing experiments
    Bacher, Rhonda
    Kendziorski, Christina
    [J]. GENOME BIOLOGY, 2016, 17
  • [7] Trimmomatic: a flexible trimmer for Illumina sequence data
    Bolger, Anthony M.
    Lohse, Marc
    Usadel, Bjoern
    [J]. BIOINFORMATICS, 2014, 30 (15) : 2114 - 2120
  • [8] Near-optimal probabilistic RNA-seq quantification (vol 34, pg 525, 2016)
    Bray, Nicolas L.
    Pimentel, Harold
    Melsted, Pall
    Pachter, Lior
    [J]. NATURE BIOTECHNOLOGY, 2016, 34 (08) : 888 - 888
  • [9] Metagenes and molecular pattern discovery using matrix factorization
    Brunet, JP
    Tamayo, P
    Golub, TR
    Mesirov, JP
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (12) : 4164 - 4169
  • [10] Single-cell technologies for monitoring immune systems
    Chattopadhyay, Pratip K.
    Gierahn, Todd M.
    Roederer, Mario
    Love, J. Christopher
    [J]. NATURE IMMUNOLOGY, 2014, 15 (02) : 128 - 135