Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Single cell RNA sequencing identifies an early monocyte gene signature in acute respiratory distress syndrome
Yale Jiang, … , Wei Chen, Prabir Ray
Yale Jiang, … , Wei Chen, Prabir Ray
Published June 18, 2020
Citation Information: JCI Insight. 2020;5(13):e135678. https://doi.org/10.1172/jci.insight.135678.
View: Text | PDF
Research Article Immunology Pulmonology

Single cell RNA sequencing identifies an early monocyte gene signature in acute respiratory distress syndrome

  • Text
  • PDF
Abstract

Acute respiratory distress syndrome (ARDS) results from overwhelming pulmonary inflammation. Prior bulk RNA sequencing provided limited insights into ARDS pathogenesis. We used single cell RNA sequencing to probe ARDS at a higher resolution. PBMCs of patients with pneumonia and sepsis with early ARDS were compared with those of sepsis patients who did not develop ARDS. Monocyte clusters from ARDS patients revealed multiple distinguishing characteristics in comparison with monocytes from patients without ARDS, including downregulation of SOCS3 expression, accompanied by a proinflammatory signature with upregulation of multiple type I IFN–induced genes, especially in CD16+ cells. To generate an ARDS risk score, we identified upregulation of 29 genes in the monocytes of these patients, and 17 showed a similar profile in cells of patients in independent cohorts. Monocytes had increased expression of RAB11A, known to inhibit neutrophil efferocytosis; ATP2B1, a calcium pump that exports Ca2+ implicated in endothelial barrier disruption; and SPARC, associated with processing of procollagen to collagen. These data show that monocytes of ARDS patients upregulate expression of genes not just restricted to those associated with inflammation. Together, our findings identify molecules that are likely involved in ARDS pathogenesis that may inform biomarker and therapeutic development.

Authors

Yale Jiang, Brian R. Rosborough, Jie Chen, Sudipta Das, Georgios D. Kitsios, Bryan J. McVerry, Rama K. Mallampalli, Janet S. Lee, Anuradha Ray, Wei Chen, Prabir Ray

×

Figure 1

scRNA-seq analysis reveals the cellular composition of PBMCs in sepsis-only and sepsis+ARDS patients.

Options: View larger image (or click on image) Download as PowerPoint
scRNA-seq analysis reveals the cellular composition of PBMCs in sepsis-o...
(A) The schematic illustrates the experimental design and work flow. (B) PBMCs were analyzed from sepsis only (n = 4) and sepsis+ARDS (n = 3) patients and projected with uniform manifold approximation and projection (UMAP) plots with colors and the number in parenthesis indicating the identified cell cluster. (C) The heatmap depicts the marker genes corresponding to each cluster identified in B. (D) The frequency of each cell type is depicted in the columns. Each patient is represented by an individual color in a shade of blue/green (sepsis-only) or orange/red (sepsis+ARDS). The yellow dashed line represents an equal frequency between the 2 groups, since there are 4 sepsis-only patients and 3 sepsis+ARDS patients. (E) The plot shows identification of marker genes for each cell cluster, with the size of the dot corresponding to the percentage of cells within the cell population expressing the gene. The brightness of the color represents the average expression level across all cells within the cluster. Blue and red dots indicate sepsis-only and sepsis+ARDS patients, respectively. CD14Mono, CD14+ monocyte; CD8T, CD8+ T cell; CD4T, CD4+ T cell; B, B cell; NK, NK cell; NKT, NK T cell; CD16Mono, CD16+ monocytes; Mk, megakaryocyte.

Copyright © 2025 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts