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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 3

Methylation profiling of BAL fluid T cell populations.

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Methylation profiling of BAL fluid T cell populations.
(A) Schematic out...
(A) Schematic outlining the modified reduced-representation bisulfite sequencing procedure. An example Agilent Tapestation 4200 image of DNA fragments following MspI digestion and size selection of fragmented DNA is shown. (B) Coverage of promoters, CpG islands, and CpG island shores. (C) Quantification trend plot of DNA methylation (β scores) across gene bodies defined by transcriptional start site (TSS) and transcriptional end site (TES) with 5 kb of flanking sequence on either side. β Scores continuously range from 0 (unmethylated) to 1 (methylated). (D) Scatter/density plot comparing β scores of effector-memory T (Teff-mem) and regulatory T (Treg) cells with raw quantification (SeqMonk bisulfite methylation pipeline over individual reads). (E) Scatter/density plot comparing β scores of Teff-mem and Treg cells with quantification performed using the Dispersion Shrinkage for Sequencing (DSS) procedure. Data represent merged average of 3 replicates for each cell type obtained from 3 individual participants.

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