Genome-Scale Perturb-Seq Maps Context-Specific Regulators of Human T Cell Function

CD4+ T cells are master coordinators of immune responses, and mapping the gene networks that govern their behavior — and how those networks shift with stimulation — is central to understanding immunity, autoimmunity, and immune aging. Yet systematic regulatory mapping in primary human cells has remained challenging.

This study by Zhu, Dann, Yan, and colleagues at the Gladstone-UCSF Institute of Genomic Immunology and Stanford University deployed genome-scale perturb-seq, combining CRISPR-based gene perturbation with single-cell RNA sequencing. Every expressed gene was individually perturbed across 22 million primary human CD4+ T cells from four donors, with transcriptome-wide readouts collected in both resting and stimulated states via a novel probe-based platform.

Key findings include the identification of previously uncharacterized regulators of cytokine production — molecules central to inflammation and immune signaling. Critically, the active regulators and the gene programs they control were highly context-dependent, shifting dramatically between resting and stimulated conditions. This has major implications: interventions targeting immune regulators must account for the activation state of T cells to be effective.

The perturbation data were also used to model T cell states observed in large population-scale transcriptomic atlases, nominating specific regulators of T cell polarization and of age-related phenotypes — a direct link to immune aging biology. Additionally, the study implicated context-specific regulatory pathways in autoimmune disease risk, though the abstract does not specify which diseases.

Caveats include that findings derive from only four donors, limiting generalizability, and this summary is based on the abstract alone. Nonetheless, the dataset represents a substantial resource for decoding T cell gene regulation and its relevance to human immune traits, including aging.