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  • 标题:Single-cell transcriptome profiling reveals heterogeneous neutrophils with prognostic values in sepsis
  • 本地全文:下载
  • 作者:Yucai Hong ; Lin Chen ; Jian Sun
  • 期刊名称:iScience
  • 印刷版ISSN:2589-0042
  • 出版年度:2022
  • 卷号:25
  • 期号:11
  • 页码:1-19
  • DOI:10.1016/j.isci.2022.105301
  • 语种:English
  • 出版社:Elsevier
  • 摘要:SummaryNeutrophils constitute the largest proportion of nucleated peripheral blood cells, and neutrophils have substantial heterogeneity. We profiled nearly 300,000 human peripheral blood cells in this study using single-cell RNA sequencing. A large proportion (>50%) of these cells were annotated as neutrophils. Neutrophils were further clustered into four subtypes, including Neu1, Neu2, Neu3, and Neu4. Neu1 is characterized by high expression of MMP9, HP, and RGL4. Neu1 was associated with septic shock and significantly correlated with the sequential organ failure assessment (SOFA) score. A gene expression module in Neu1 named Neu1_C (characterized by expression of NFKBIA, CXCL8, G0S2, and FTH1) was highly predictive of septic shock with an area under the curve of 0.81. The results were extensively validated in external bulk datasets by using single-cell deconvolution methods. In summary, our study establishes a general framework for studying neutrophil-related mechanisms, prognostic biomarkers, and potential therapeutic targets for septic shock.Graphical abstractDisplay OmittedHighlights•Neutrophils were clustered into four subtypes, including Neu1, Neu2, Neu3, and Neu4•Neu1 was associated with septic shock•Neu1 was correlated with the sequential organ failure assessment (SOFA) score•A gene expression module in Neu1 named Neu1_C was highly predictive of septic shockBiological sciences; Immunology; Transcriptomics
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