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Multidimensional assessment of alveolar T cells in critically ill patients
James M. Walter, … , Richard G. Wunderink, Benjamin D. Singer
James M. Walter, … , Richard G. Wunderink, Benjamin D. Singer
Published September 6, 2018
Citation Information: JCI Insight. 2018;3(17):e123287. https://doi.org/10.1172/jci.insight.123287.
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Resource and Technical Advance Immunology Pulmonology

Multidimensional assessment of alveolar T cells in critically ill patients

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Abstract

Pneumonia represents the leading infectious cause of death in the United States. Foxp3+ regulatory T cells promote recovery from severe pneumonia in mice, but T cell responses in patients with pneumonia remain incompletely characterized because of the limited ability to serially sample the distal airspaces and perform multidimensional molecular assessments on the small numbers of recovered cells. As T cell function is governed by their transcriptional and epigenetic landscape, we developed a method to safely perform high-resolution transcriptional and DNA methylation profiling of T cell subsets from the alveoli of critically ill patients. Our method involves nonbronchoscopic bronchoalveolar lavage combined with multiparameter fluorescence-activated cell sorting, unsupervised low-input RNA-sequencing, and a modified reduced-representation bisulfite sequencing protocol. Here, we demonstrate the safety and feasibility of our method and use it to validate functional genomic elements that were predicted by mouse models. Because of its potential for widespread application, our techniques allow unprecedented insights into the biology of human pneumonia.

Authors

James M. Walter, Kathryn A. Helmin, Hiam Abdala-Valencia, Richard G. Wunderink, Benjamin D. Singer

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Figure 4

Analysis of Treg cell–specific super-enhancer elements.

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Analysis of Treg cell–specific super-enhancer elements.
(A) MA plot comp...
(A) MA plot comparing gene expression for genes within 5 kb of Treg cell-specific super-enhancer (Treg-SE) elements. The red line and shaded area represent the loess fit line with 95% confidence interval. Genes of interest are annotated. FC, fold-change. (B) Cumulative distribution function of β scores (DSS quantification) comparing Teff-mem and Treg cells across Treg-SE. (C) β Scores (DSS quantification) for Teff-mem and Treg cells for CpGs contained within Treg-SE and 20 kb of flanking sequence. Data represent merged average of 3 replicates for each cell type obtained from 3 individual participants. *P < 0.05 by 2-way ANOVA with Sidak’s post hoc test; F(DFn = 1, DFd = 80) = 4.096. NS, not significant.

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