Author
Listed:
- Maya M. Arce
(Gladstone-UCSF Institute of Genomic Immunology
University of California
University of California)
- Jennifer M. Umhoefer
(Gladstone-UCSF Institute of Genomic Immunology
University of California
University of California)
- Nadia Arang
(University of California)
- Sivakanthan Kasinathan
(Gladstone-UCSF Institute of Genomic Immunology
Stanford University School of Medicine)
- Jacob W. Freimer
(Gladstone-UCSF Institute of Genomic Immunology
University of California
Stanford University)
- Zachary Steinhart
(Gladstone-UCSF Institute of Genomic Immunology
University of California)
- Haolin Shen
(University of California)
- Minh T. N. Pham
(Stanford University School of Medicine)
- Mineto Ota
(Gladstone-UCSF Institute of Genomic Immunology
University of California
Stanford University)
- Anika Wadhera
(Gladstone-UCSF Institute of Genomic Immunology)
- Rama Dajani
(Gladstone-UCSF Institute of Genomic Immunology)
- Dmytro Dorovskyi
(Gladstone-UCSF Institute of Genomic Immunology
University of California)
- Yan Yi Chen
(Gladstone-UCSF Institute of Genomic Immunology
University of California)
- Qi Liu
(Gladstone-UCSF Institute of Genomic Immunology
University of California)
- Yuan Zhou
(University of California
Gladstone Institute of Data Science and Biotechnology)
- Danielle L. Swaney
(University of California
Gladstone Institute of Data Science and Biotechnology
University of California)
- Kirsten Obernier
(University of California
Gladstone Institute of Data Science and Biotechnology)
- Brian R. Shy
(Gladstone-UCSF Institute of Genomic Immunology
University of California)
- Julia Carnevale
(Gladstone-UCSF Institute of Genomic Immunology
University of California
University of California
Parker Institute for Cancer Immunotherapy)
- Ansuman T. Satpathy
(Gladstone-UCSF Institute of Genomic Immunology
Stanford University School of Medicine
Parker Institute for Cancer Immunotherapy)
- Nevan J. Krogan
(University of California
Gladstone Institute of Data Science and Biotechnology
University of California
University of California)
- Jonathan K. Pritchard
(Stanford University
Stanford University)
- Alexander Marson
(Gladstone-UCSF Institute of Genomic Immunology
University of California
University of California
Parker Institute for Cancer Immunotherapy)
Abstract
The ability of cells to maintain distinct identities and respond to transient environmental signals requires tightly controlled regulation of gene networks1–3. These dynamic regulatory circuits that respond to extracellular cues in primary human cells remain poorly defined. The need for context-dependent regulation is prominent in T cells, where distinct lineages must respond to diverse signals to mount effective immune responses and maintain homeostasis4–8. Here we performed CRISPR screens in multiple primary human CD4+ T cell contexts to identify regulators that control expression of IL-2Rα, a canonical marker of T cell activation transiently expressed by pro-inflammatory effector T cells and constitutively expressed by anti-inflammatory regulatory T cells where it is required for fitness9–11. Approximately 90% of identified regulators of IL-2Rα had effects that varied across cell types and/or stimulation states, including a subset that even had opposite effects across conditions. Using single-cell transcriptomics after pooled perturbation of context-specific screen hits, we characterized specific factors as regulators of overall rest or activation and constructed state-specific regulatory networks. MED12 — a component of the Mediator complex — serves as a dynamic orchestrator of key regulators, controlling expression of distinct sets of regulators in different T cell contexts. Immunoprecipitation–mass spectrometry revealed that MED12 interacts with the histone methylating COMPASS complex. MED12 was required for histone methylation and expression of genes encoding key context-specific regulators, including the rest maintenance factor KLF2 and the versatile regulator MYC. CRISPR ablation of MED12 blunted the cell-state transitions between rest and activation and protected from activation-induced cell death. Overall, this work leverages CRISPR screens performed across conditions to define dynamic gene circuits required to establish resting and activated T cell states.
Suggested Citation
Maya M. Arce & Jennifer M. Umhoefer & Nadia Arang & Sivakanthan Kasinathan & Jacob W. Freimer & Zachary Steinhart & Haolin Shen & Minh T. N. Pham & Mineto Ota & Anika Wadhera & Rama Dajani & Dmytro Do, 2025.
"Central control of dynamic gene circuits governs T cell rest and activation,"
Nature, Nature, vol. 637(8047), pages 930-939, January.
Handle:
RePEc:nat:nature:v:637:y:2025:i:8047:d:10.1038_s41586-024-08314-y
DOI: 10.1038/s41586-024-08314-y
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