Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing

被引:0
|
作者
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
机构
[1] Karolinska Institutet,Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics
[2] Karolinska Institutet,Division of Physiological Chemistry, Department of Medical Biochemistry and Biophysics
[3] Center for Biomedical Informatics,Division of Hematology/Oncology
[4] Harvard Medical School,undefined
[5] Children's Hospital,undefined
来源
Nature Neuroscience | 2015年 / 18卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Based on single cell RNA-sequencing of 622 adult mouse sensory neurons, Usoskin et al. performed unbiased classification to identify the cellular and molecular complexity underlying somatic sensation. Eleven different subtypes were identified, including some previously unknown populations such as a new class of neuron which may be sensitive to inflammatory itch.
引用
收藏
页码:145 / 153
页数:8
相关论文
共 50 条
  • [1] 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 - +
  • [2] Immunology Driven by Large-Scale Single-Cell Sequencing
    Gomes, Tomas
    Teichmann, Sarah A.
    Talavera-Lopez, Carlos
    TRENDS IN IMMUNOLOGY, 2019, 40 (11) : 1011 - 1021
  • [3] Benchmarking principal component analysis for large-scale single-cell RNA-sequencing
    Koki Tsuyuzaki
    Hiroyuki Sato
    Kenta Sato
    Itoshi Nikaido
    Genome Biology, 21
  • [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] 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)
  • [6] scAIDE: clustering of large-scale single-cell RNA-seq data reveals putative and rare cell types
    Xie, Kaikun
    Huang, Yu
    Zeng, Feng
    Liu, Zehua
    Chen, Ting
    NAR GENOMICS AND BIOINFORMATICS, 2020, 2 (04)
  • [7] Large-scale single-cell RNA sequencing atlases of human immune cells across lifespan: Possibilities and challenges
    Webb, Simone
    Haniffa, Muzlifah
    EUROPEAN JOURNAL OF IMMUNOLOGY, 2023, 53 (12)
  • [8] Protocol for isolating specific C. elegans neuron types for bulk and single-cell RNA sequencing
    Taylor, Seth R.
    Mcwhirter, Rebecca D.
    Matlock, Brittany K.
    Flaherty, David K.
    Miller III, David M.
    STAR PROTOCOLS, 2024, 5 (04):
  • [9] Approaches for single-cell RNA sequencing across tissues and cell types
    Sant, Pooja
    Rippe, Karsten
    Mallm, Jan-Philipp
    TRANSCRIPTION-AUSTIN, 2023, 14 (3-5): : 127 - 145
  • [10] JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing
    Cui, Tao
    Wang, Tingting
    BMC GENOMICS, 2021, 22 (01)