2026-10-13 スタンフォード大学
＜関連情報＞
- https://news.stanford.edu/stories/2026/10/dataset-immune-cells-autoimmune-disease
- https://www.cell.com/cell/fulltext/S0092-8674(26)00929-3
ヒト初代CD4+ T細胞におけるゲノム規模の摂動シーケンス解析により、T細胞プログラムおよびヒト免疫特性のコンテキスト特異的制御因子がマッピングされる Genome-scale perturb-seq in primary human CD4+ T cells maps context-specific regulators of T cell programs and human immune traits
Ronghui Zhu ∙ Emma Dann ∙ Jun Yan ∙ … ∙ Ansuman T. Satpathy ∙ Jonathan K. Pritchard ∙ Alexander Marson
Cell Published:August 28, 2026
DOI:https://doi.org/10.1016/j.cell.2026.08.002
Highlights
- Genome-scale perturb-seq maps gene regulation in ∼22 million primary human CD4+ T cells
- Many gene regulatory effects are specific to distinct rest and stimulation time points
- Perturb-seq maps nominate regulators of gene signatures observed in human cohort atlases
- Perturb-seq links regulatory pathways to human traits and disease susceptibility
Summary
Gene regulatory networks encode the fundamental logic of cellular functions, but systematic network mapping remains challenging, especially in cell states relevant to human biology and disease. Here, we perturbed all expressed genes across 22 million primary human CD4+ T cells from four donors and developed a probe-based perturb-seq platform to measure the transcriptome effects in cells at rest and after stimulation. These data allowed us to map genes regulating immune pathways, including previously uncharacterized regulators of cytokine production. Importantly, active regulators and the gene programs they control changed dramatically across stimulation conditions. Perturbation signatures enabled us to model T cell states observed in population-scale transcriptomic atlases, nominating regulators of T cell polarization and of age-related phenotypes. Finally, we leveraged perturb-seq to implicate context-specific gene regulatory pathways in autoimmune disease risk. Our study provides a foundational resource and new approaches to decode T cell function and human immune traits.
