Integration of phospho-signaling and transcriptomics in single cells reveals distinct Th17 cell fates

Single-cell RNA sequencing (scRNA-seq) provides the resolution and scale necessary to identify transcriptional programs but fails to capture post-transcriptional information critical to decipher signaling networks and cellular states. We present Vivo-seq, an innovative platform that integrates scRNA-seq and intracellular cellular indexing of transcriptomes and epitopes by sequencing following cellular fixation with a deep eutectic solvent, which preserves multiple domains of biological information beyond RNA transcripts alone. Vivo-seq enables simultaneous capture of both transcriptional and phospho-signaling states in single cells. Applying this platform to developing T helper 17 (Th17) cells, we find that simultaneous phosphorylation of ERK1/2 and c-FOS leads to maximal interleukin-2 (IL-2) and IL-17 production. Furthermore, we show that early IL-2 production imprints developing Th17 cells for enhanced maintenance or cytokine-dependent transdifferentiation during subsequent antigenic stimulation. By integrating transcriptional and phospho-signaling information at single-cell resolution, we identify a hyperactivated Th17 cellular state associated with early IL-2 production that has downstream consequences on functional plasticity.

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Publication Details

Journal
Cell Reports
Published
2025-07-16
DOI
https://doi.org/10.1016/j.celrep.2025.116006
Primary Topic
T-cell and B-cell Immunology
Type
article
Field-Weighted Citation Impact
0.00

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article

Integration of phospho-signaling and transcriptomics in single cells reveals distinct Th17 cell fates

P. Brent Ferrell, Blake F. Frey, Asif Elahi, Robert S. Welner et al.
Cell Reports
T-cell and B-cell Immunology
article

Integration of phospho-signaling and transcriptomics in single cells reveals distinct Th17 cell fates

P. Brent Ferrell, Blake F. Frey, Asif Elahi, Robert S. Welner, Casey Todd Weaver, Vidya Sagar Hanumanthu, Andrew S. Goldsborough, Seth D. Fortmann, Maria B. Grant, Awalpreet S. Chadha, Shanrun Liu
article en

Abstract

Single-cell RNA sequencing (scRNA-seq) provides the resolution and scale necessary to identify transcriptional programs but fails to capture post-transcriptional information critical to decipher signaling networks and cellular states. We present Vivo-seq, an innovative platform that integrates scRNA-seq and intracellular cellular indexing of transcriptomes and epitopes by sequencing following cellular fixation with a deep eutectic solvent, which preserves multiple domains of biological information beyond RNA transcripts alone. Vivo-seq enables simultaneous capture of both transcriptional and phospho-signaling states in single cells. Applying this platform to developing T helper 17 (Th17) cells, we find that simultaneous phosphorylation of ERK1/2 and c-FOS leads to maximal interleukin-2 (IL-2) and IL-17 production. Furthermore, we show that early IL-2 production imprints developing Th17 cells for enhanced maintenance or cytokine-dependent transdifferentiation during subsequent antigenic stimulation. By integrating transcriptional and phospho-signaling information at single-cell resolution, we identify a hyperactivated Th17 cellular state associated with early IL-2 production that has downstream consequences on functional plasticity.

Cell ReportsVol. 44(8)
University of Alabama at Birmingham Hospital (US), University of Alabama at Birmingham (US), Sylvester Comprehensive Cancer Center (US), O'Neal Comprehensive Cancer Center, Vanderbilt University Medical Center (US), Core Laboratories (United States) (US)
Division of Intramural Research, National Institute of Allergy and Infectious Diseases, Mark Foundation For Cancer Research, National Institutes of Health, Center for AIDS Research, University of Washington, National Heart, Lung, and Blood Institute, National Eye Institute, National Cancer Institute, National Institute of Allergy and Infectious Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, NHLBI Division of Intramural Research
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Openalex Percentile: Top 81%
T-cell and B-cell Immunology
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