Single-cell multi-omics reveals archetypal regulatory programs shared across T cell subsets

T cells differentiate into functionally distinct subsets in response to pathogens, yet essential immune functions such as self-renewal, expansion, cytokine production, and cytotoxicity are common to multiple subsets and therefore must be programmed via shared regulatory mechanisms. To uncover these "archetypal" epigenomic programs, we integrated a single-cell multiomic (scATAC+RNA-seq) dataset of CD4 and CD8 T cells responding to acute and chronic viral infection with a comprehensive bulk ATAC-seq compendium. Our analysis reveals a modular architecture governing T cell identity, implicating distinct transcription factors in reusing regulatory programs across subsets and lineages. Notably, translationally important progenitor CD8 T cells, critical for sustained immunity and present in both acute and chronic infection, exhibit a composite regulatory state, combining a CD8 exhaustion program with a follicular helper CD4 T cell program. In sum, this resource and generalizable computational framework will aid the mechanistic dissection of adaptive immunity and immunotherapy design.

Authors

Institutions

Publication Details

Journal
Cell Reports
Published
2026-10-26
DOI
https://doi.org/10.1016/j.celrep.2026.118156
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single-cell multi-omics reveals archetypal regulatory programs shared across T cell subsets

Alexander Y. Rudensky, Joris van der Veeken, Sarah K. Walker, Yuri Pritykin
Cell Reports
Single-cell and spatial transcriptomics
article

Single-cell multi-omics reveals archetypal regulatory programs shared across T cell subsets

Alexander Y. Rudensky, Joris van der Veeken, Sarah K. Walker, Yuri Pritykin
article en

Abstract

T cells differentiate into functionally distinct subsets in response to pathogens, yet essential immune functions such as self-renewal, expansion, cytokine production, and cytotoxicity are common to multiple subsets and therefore must be programmed via shared regulatory mechanisms. To uncover these "archetypal" epigenomic programs, we integrated a single-cell multiomic (scATAC+RNA-seq) dataset of CD4 and CD8 T cells responding to acute and chronic viral infection with a comprehensive bulk ATAC-seq compendium. Our analysis reveals a modular architecture governing T cell identity, implicating distinct transcription factors in reusing regulatory programs across subsets and lineages. Notably, translationally important progenitor CD8 T cells, critical for sustained immunity and present in both acute and chronic infection, exhibit a composite regulatory state, combining a CD8 exhaustion program with a follicular helper CD4 T cell program. In sum, this resource and generalizable computational framework will aid the mechanistic dissection of adaptive immunity and immunotherapy design.

Cell ReportsVol. 45(11)
Memorial Sloan Kettering Cancer Center (US), Howard Hughes Medical Institute (US), Research Institute of Molecular Pathology (AT), Princeton University (US), Vienna Biocenter (AT)
Howard Hughes Medical Institute, Boehringer Ingelheim, Ludwig Institute for Cancer Research, Austrian Science Fund, National Institutes of Health, European Research Council
Openalex Percentile: Top 22%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Single-cell multi-omics reveals archetypal regulatory programs shared across T cell subsets — Alexander Y. Rudensky, Joris van der Veeken, et al. · Cell Reports (2026) | TGRS Research Map | TGRS