five

A combinatorial transcription factor screening platform for immune cell reprogramming [scRNA-seq]

收藏
NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP588722
下载链接
链接失效反馈
官方服务:
资源简介:
Direct reprogramming of immune cells holds promise for immunotherapy but is constrained by limited knowledge of transcription factor (TF) networks. Here, we developed REPROcode, a combinatorial single-cell screening platform to identify TF combinations for immune cell reprogramming. We first validated REPROcode by inducing Type-1 Conventional Dendritic Cells (cDC1) with multiplexed sets of 9, 22, and 42 factors. With cDC1-enriched TFs, REPROcode enabled identification of optimal TF stoichiometry, fidelity enhancers, and regulators of cDC1 states. We then constructed an arrayed lentiviral library of 408 barcoded immune TFs to explore broader reprogramming capacity. Screening 48 TFs enriched in dendritic cell subsets yielded myeloid and lymphoid phenotypes and enabled the construction of a TF hierarchy map to guide immune reprogramming. Finally, we validated REPROcode's discovery power by inducing Natural Killer (NK)-like cells. This study deepens our understanding of immune transcriptional control and provides a versatile toolbox for engineering immune cells to advance immunotherapy. Overall design: 9 TF, 22 TF, 42 TF and 48TF-transduced fibroblasts were FACS sorted for CD45+HLA-DRA+ or CD45+, and CD45-HLA-DRA-day9 (d9) and profiled by single cell RNA sequencing. Cells were sorted live at day 2 (d2) to capture TF representation.
创建时间:
2026-01-15
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作