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Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection
The full neutrophil heterogeneity and differentiation landscape remains incompletely characterized. Here we profiled >25,000 differentiating and mature mouse neutrophils using single-cell RNA sequencing to provide a comprehensive transcriptional landscape of neutrophil maturation, function, and f...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7442692/ https://www.ncbi.nlm.nih.gov/pubmed/32719519 http://dx.doi.org/10.1038/s41590-020-0736-z |
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author | Xie, Xuemei Shi, Qiang Wu, Peng Zhang, Xiaoyu Kambara, Hiroto Su, Jiayu Yu, Hongbo Park, Shin-Young Guo, Rongxia Ren, Qian Zhang, Sudong Xu, Yuanfu Silberstein, Leslie E. Cheng, Tao Ma, Fengxia Li, Cheng Luo, Hongbo R. |
author_facet | Xie, Xuemei Shi, Qiang Wu, Peng Zhang, Xiaoyu Kambara, Hiroto Su, Jiayu Yu, Hongbo Park, Shin-Young Guo, Rongxia Ren, Qian Zhang, Sudong Xu, Yuanfu Silberstein, Leslie E. Cheng, Tao Ma, Fengxia Li, Cheng Luo, Hongbo R. |
author_sort | Xie, Xuemei |
collection | PubMed |
description | The full neutrophil heterogeneity and differentiation landscape remains incompletely characterized. Here we profiled >25,000 differentiating and mature mouse neutrophils using single-cell RNA sequencing to provide a comprehensive transcriptional landscape of neutrophil maturation, function, and fate decision in their steady state and during bacterial infection. Eight neutrophil populations were defined by distinct molecular signatures. The three mature peripheral blood neutrophil subsets arise from distinct maturing bone marrow neutrophil subsets. Driven by both known and uncharacterized transcription factors, neutrophils gradually acquire microbicidal capability as they traverse the transcriptional landscape, representing an evolved mechanism for fine-tuned regulation of an effective but balanced neutrophil response. Bacterial infection reprograms the genetic architecture of neutrophil populations, alters dynamic transition between each subpopulation, and primes neutrophils for augmented functionality without affecting overall heterogeneity. In summary, these data establish a reference model and general framework for studying neutrophil-related disease mechanisms, biomarkers, and therapeutic targets at single-cell resolution. |
format | Online Article Text |
id | pubmed-7442692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-74426922021-01-27 Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection Xie, Xuemei Shi, Qiang Wu, Peng Zhang, Xiaoyu Kambara, Hiroto Su, Jiayu Yu, Hongbo Park, Shin-Young Guo, Rongxia Ren, Qian Zhang, Sudong Xu, Yuanfu Silberstein, Leslie E. Cheng, Tao Ma, Fengxia Li, Cheng Luo, Hongbo R. Nat Immunol Article The full neutrophil heterogeneity and differentiation landscape remains incompletely characterized. Here we profiled >25,000 differentiating and mature mouse neutrophils using single-cell RNA sequencing to provide a comprehensive transcriptional landscape of neutrophil maturation, function, and fate decision in their steady state and during bacterial infection. Eight neutrophil populations were defined by distinct molecular signatures. The three mature peripheral blood neutrophil subsets arise from distinct maturing bone marrow neutrophil subsets. Driven by both known and uncharacterized transcription factors, neutrophils gradually acquire microbicidal capability as they traverse the transcriptional landscape, representing an evolved mechanism for fine-tuned regulation of an effective but balanced neutrophil response. Bacterial infection reprograms the genetic architecture of neutrophil populations, alters dynamic transition between each subpopulation, and primes neutrophils for augmented functionality without affecting overall heterogeneity. In summary, these data establish a reference model and general framework for studying neutrophil-related disease mechanisms, biomarkers, and therapeutic targets at single-cell resolution. 2020-07-27 2020-09 /pmc/articles/PMC7442692/ /pubmed/32719519 http://dx.doi.org/10.1038/s41590-020-0736-z Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Xie, Xuemei Shi, Qiang Wu, Peng Zhang, Xiaoyu Kambara, Hiroto Su, Jiayu Yu, Hongbo Park, Shin-Young Guo, Rongxia Ren, Qian Zhang, Sudong Xu, Yuanfu Silberstein, Leslie E. Cheng, Tao Ma, Fengxia Li, Cheng Luo, Hongbo R. Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection |
title | Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection |
title_full | Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection |
title_fullStr | Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection |
title_full_unstemmed | Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection |
title_short | Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection |
title_sort | single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7442692/ https://www.ncbi.nlm.nih.gov/pubmed/32719519 http://dx.doi.org/10.1038/s41590-020-0736-z |
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