Taking single-cell transcriptomics to the bedside

被引:0
|
作者
Sam Behjati
Muzlifah Haniffa
机构
[1] Sam Behjati is at the Wellcome Trust Sanger Institute,UK; and at the Department of Paediatrics
[2] Wellcome Genome Campus,and at the Department of Paediatrics
[3] Hinxton,UK; and at the Department of Dermatology and Newcastle Biomedical Research Centre
[4] Cambridge CB10 1SD,and at the Department of Dermatology and Newcastle Biomedical Research Centre
[5] University of Cambridge,undefined
[6] Cambridge,undefined
[7] Hills Road,undefined
[8] CB2 0QQ,undefined
[9] UK.,undefined
[10] University of Cambridge,undefined
[11] Cambridge,undefined
[12] Hills Road,undefined
[13] CB2 0QQ,undefined
[14] UK.,undefined
[15] Muzlifah Haniffa is at the Institute of Cellular Medicine,undefined
[16] Newcastle University,undefined
[17] Framlington Place,undefined
[18] Newcastle upon Tyne NE2 4HH,undefined
[19] Newcastle Hospitals NHS Foundation Trust,undefined
[20] Queen Victoria Road,undefined
[21] Newcastle upon Tyne NE2 4LP,undefined
[22] UK.,undefined
[23] Newcastle Hospitals NHS Foundation Trust,undefined
[24] Queen Victoria Road,undefined
[25] Newcastle upon Tyne NE2 4LP,undefined
[26] UK.,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Important biological questions can be addressed by interrogating the transcriptomes of cancer cells. In a recently published landmark study, Giustacchini and collaborators used a single-cell approach to analyse mRNA of cancer cells derived from patients with chronic myeloid leukaemia. Herein, we discuss how this approach could be used to address relevant clinical questions.
引用
收藏
页码:590 / 592
页数:2
相关论文
共 50 条
  • [21] Deep generative modeling for single-cell transcriptomics
    Lopez, Romain
    Regier, Jeffrey
    Cole, Michael B.
    Jordan, Michael I.
    Yosef, Nir
    NATURE METHODS, 2018, 15 (12) : 1053 - +
  • [22] Temporal modelling using single-cell transcriptomics
    Jun Ding
    Nadav Sharon
    Ziv Bar-Joseph
    Nature Reviews Genetics, 2022, 23 (6) : 355 - 368
  • [23] The power of single-cell transcriptomics in cardiovascular disease
    Andrew Robson
    Nature Cardiovascular Research, 2022, 1 : 606 - 606
  • [24] THE SINGLE-CELL TRANSCRIPTOMICS OF HUMAN IGA NEPHROPATHY
    Zhong, Yong
    Xiao, Xiangcheng
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 2021, 36
  • [25] Computational and analytical challenges in single-cell transcriptomics
    Oliver Stegle
    Sarah A. Teichmann
    John C. Marioni
    Nature Reviews Genetics, 2015, 16 : 133 - 145
  • [26] Lymphoma Heterogeneity Unraveled by Single-Cell Transcriptomics
    Ysebaert, Loic
    Quillet-Mary, Anne
    Tosolini, Marie
    Pont, Frederic
    Laurent, Camille
    Fournie, Jean-Jacques
    FRONTIERS IN IMMUNOLOGY, 2021, 12
  • [27] Computational and analytical challenges in single-cell transcriptomics
    Stegle, Oliver
    Teichmann, Sarah A.
    Marioni, John C.
    NATURE REVIEWS GENETICS, 2015, 16 (03) : 133 - 145
  • [28] Single-Cell Transcriptomics Bioinformatics and Computational Challenges
    Poirion, Olivier B.
    Zhu, Xun
    Ching, Travers
    Garmire, Lana
    FRONTIERS IN GENETICS, 2016, 7
  • [29] Single-cell transcriptomics for the assessment of cardiac disease
    Antonio M. A. Miranda
    Vaibhao Janbandhu
    Henrike Maatz
    Kazumasa Kanemaru
    James Cranley
    Sarah A. Teichmann
    Norbert Hübner
    Michael D. Schneider
    Richard P. Harvey
    Michela Noseda
    Nature Reviews Cardiology, 2023, 20 : 289 - 308
  • [30] Reactive astrogliosis in the era of single-cell transcriptomics
    Matusova, Zuzana
    Hol, Elly M. M.
    Pekny, Milos
    Kubista, Mikael
    Valihrach, Lukas
    FRONTIERS IN CELLULAR NEUROSCIENCE, 2023, 17