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Single-cell analysis reveals the range of transcriptional states of circulating human neutrophils

Gustaf Wigerblad, Qilin Cao, Stephen Brooks, Faiza Naz, Manasi Gadkari, Kan Jiang, Sarthak Gupta, Liam O’Neil, Stefania Dell’Orso, Mariana J. Kaplan, View ORCID ProfileLuis M. Franco
doi: https://doi.org/10.1101/2022.02.22.481522
Gustaf Wigerblad
1Systemic Autoimmunity Branch. National Institute of Arthritis and Musculoskeletal and Skin Diseases. National Institutes of Health. Bethesda, MD, USA
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Qilin Cao
1Systemic Autoimmunity Branch. National Institute of Arthritis and Musculoskeletal and Skin Diseases. National Institutes of Health. Bethesda, MD, USA
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Stephen Brooks
2Biodata Mining and Discovery Section. National Institute of Arthritis and Musculoskeletal and Skin Diseases. National Institutes of Health. Bethesda, MD, USA
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Faiza Naz
3Department of Internal Medicine. University of Manitoba. Winnipeg, Canada
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Manasi Gadkari
1Systemic Autoimmunity Branch. National Institute of Arthritis and Musculoskeletal and Skin Diseases. National Institutes of Health. Bethesda, MD, USA
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Kan Jiang
2Biodata Mining and Discovery Section. National Institute of Arthritis and Musculoskeletal and Skin Diseases. National Institutes of Health. Bethesda, MD, USA
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Sarthak Gupta
1Systemic Autoimmunity Branch. National Institute of Arthritis and Musculoskeletal and Skin Diseases. National Institutes of Health. Bethesda, MD, USA
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Liam O’Neil
1Systemic Autoimmunity Branch. National Institute of Arthritis and Musculoskeletal and Skin Diseases. National Institutes of Health. Bethesda, MD, USA
3Department of Internal Medicine. University of Manitoba. Winnipeg, Canada
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Stefania Dell’Orso
4Genomic Technology Section. National Institute of Arthritis and Musculoskeletal and Skin Diseases. National Institutes of Health. Bethesda, MD, USA
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Mariana J. Kaplan
1Systemic Autoimmunity Branch. National Institute of Arthritis and Musculoskeletal and Skin Diseases. National Institutes of Health. Bethesda, MD, USA
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  • For correspondence: luis.franco@nih.gov mariana.kaplan@nih.gov
Luis M. Franco
1Systemic Autoimmunity Branch. National Institute of Arthritis and Musculoskeletal and Skin Diseases. National Institutes of Health. Bethesda, MD, USA
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  • ORCID record for Luis M. Franco
  • For correspondence: luis.franco@nih.gov mariana.kaplan@nih.gov
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Abstract

Neutrophils are the most abundant leukocytes in human blood and are essential components of innate immunity. Until recently, neutrophils were considered homogeneous and transcriptionally inactive cells, but both concepts are being challenged. To date, neutrophils have been characterized based on discrete parameters including cell-surface markers, buoyancy, maturation status, or tissue localization. Single-cell RNA sequencing (scRNA-seq) offers an unbiased view of cells along a continuum of transcriptional states. However, the use of scRNA-seq to characterize neutrophils has proven technically difficult, explaining in part the paucity of published single-cell data on neutrophils. We have found that modifications to the data analysis pipeline, rather than to the existing scRNA-seq chemistries, can significantly increase the detection of human neutrophils in scRNA-seq. We have then applied a modified pipeline to the study of human peripheral blood neutrophils. Our findings indicate that circulating human neutrophils are transcriptionally heterogeneous cells, which can be classified into one of four transcriptional clusters that are reproducible among healthy human subjects. We demonstrate that peripheral blood neutrophils shift from relatively immature (Nh0) cells, through a transitional phenotype (Nh1), into one of two endpoints defined by either relative transcriptional inactivity (Nh2) or high expression of type I interferon-inducible genes (Nh3). Transitions among states are characterized by the expression of specific transcription factors. By simultaneously measuring surface proteins and intracellular transcripts at the single-cell level, we show that these transcriptional subsets are independent of the canonical surface proteins that are commonly used to define and characterize human neutrophils. These findings provide a new view of human neutrophil heterogeneity, with potential implications for the characterization of neutrophils in health and disease.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵* These authors share first authorship

  • ↵† These authors jointly supervised the work and share senior authorship.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 24, 2022.
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Single-cell analysis reveals the range of transcriptional states of circulating human neutrophils
Gustaf Wigerblad, Qilin Cao, Stephen Brooks, Faiza Naz, Manasi Gadkari, Kan Jiang, Sarthak Gupta, Liam O’Neil, Stefania Dell’Orso, Mariana J. Kaplan, Luis M. Franco
bioRxiv 2022.02.22.481522; doi: https://doi.org/10.1101/2022.02.22.481522
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Single-cell analysis reveals the range of transcriptional states of circulating human neutrophils
Gustaf Wigerblad, Qilin Cao, Stephen Brooks, Faiza Naz, Manasi Gadkari, Kan Jiang, Sarthak Gupta, Liam O’Neil, Stefania Dell’Orso, Mariana J. Kaplan, Luis M. Franco
bioRxiv 2022.02.22.481522; doi: https://doi.org/10.1101/2022.02.22.481522

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