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Single-cell transcriptome profiling reveals heterogeneous neutrophils with prognostic values in sepsis

Neutrophils 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 neu...

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Autores principales: Hong, Yucai, Chen, Lin, Sun, Jian, Xing, Lifeng, Yang, Yi, Jin, Xiaohong, Cai, Huabo, Dong, Lianlian, Zhou, Liping, Zhang, Zhongheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593767/
https://www.ncbi.nlm.nih.gov/pubmed/36304125
http://dx.doi.org/10.1016/j.isci.2022.105301
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author Hong, Yucai
Chen, Lin
Sun, Jian
Xing, Lifeng
Yang, Yi
Jin, Xiaohong
Cai, Huabo
Dong, Lianlian
Zhou, Liping
Zhang, Zhongheng
author_facet Hong, Yucai
Chen, Lin
Sun, Jian
Xing, Lifeng
Yang, Yi
Jin, Xiaohong
Cai, Huabo
Dong, Lianlian
Zhou, Liping
Zhang, Zhongheng
author_sort Hong, Yucai
collection PubMed
description Neutrophils 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.
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spelling pubmed-95937672022-10-26 Single-cell transcriptome profiling reveals heterogeneous neutrophils with prognostic values in sepsis Hong, Yucai Chen, Lin Sun, Jian Xing, Lifeng Yang, Yi Jin, Xiaohong Cai, Huabo Dong, Lianlian Zhou, Liping Zhang, Zhongheng iScience Article Neutrophils 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. Elsevier 2022-10-07 /pmc/articles/PMC9593767/ /pubmed/36304125 http://dx.doi.org/10.1016/j.isci.2022.105301 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hong, Yucai
Chen, Lin
Sun, Jian
Xing, Lifeng
Yang, Yi
Jin, Xiaohong
Cai, Huabo
Dong, Lianlian
Zhou, Liping
Zhang, Zhongheng
Single-cell transcriptome profiling reveals heterogeneous neutrophils with prognostic values in sepsis
title Single-cell transcriptome profiling reveals heterogeneous neutrophils with prognostic values in sepsis
title_full Single-cell transcriptome profiling reveals heterogeneous neutrophils with prognostic values in sepsis
title_fullStr Single-cell transcriptome profiling reveals heterogeneous neutrophils with prognostic values in sepsis
title_full_unstemmed Single-cell transcriptome profiling reveals heterogeneous neutrophils with prognostic values in sepsis
title_short Single-cell transcriptome profiling reveals heterogeneous neutrophils with prognostic values in sepsis
title_sort single-cell transcriptome profiling reveals heterogeneous neutrophils with prognostic values in sepsis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593767/
https://www.ncbi.nlm.nih.gov/pubmed/36304125
http://dx.doi.org/10.1016/j.isci.2022.105301
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