A genome-scale screen for synthetic drivers of T cell proliferation

嵌合抗原受体 生物 T细胞 CD8型 细胞生物学 计算生物学 抗原 癌症研究 免疫学 免疫系统
作者
Mateusz Legut,Zoran Gajic,Maria Guarino,Zharko Daniloski,Jahan Rahman,Xinhe Xue,Congyi Lu,Lu Lu,Eleni P. Mimitou,Stephanie Hao,Teresa Davoli,Catherine Diefenbach,Peter Smibert,Neville E. Sanjana
出处
期刊:Nature [Nature Portfolio]
卷期号:603 (7902): 728-735 被引量:132
标识
DOI:10.1038/s41586-022-04494-7
摘要

The engineering of autologous patient T cells for adoptive cell therapies has revolutionized the treatment of several types of cancer1. However, further improvements are needed to increase response and cure rates. CRISPR-based loss-of-function screens have been limited to negative regulators of T cell functions2–4 and raise safety concerns owing to the permanent modification of the genome. Here we identify positive regulators of T cell functions through overexpression of around 12,000 barcoded human open reading frames (ORFs). The top-ranked genes increased the proliferation and activation of primary human CD4+ and CD8+ T cells and their secretion of key cytokines such as interleukin-2 and interferon-γ. In addition, we developed the single-cell genomics method OverCITE-seq for high-throughput quantification of the transcriptome and surface antigens in ORF-engineered T cells. The top-ranked ORF—lymphotoxin-β receptor (LTBR)—is typically expressed in myeloid cells but absent in lymphocytes. When overexpressed in T cells, LTBR induced profound transcriptional and epigenomic remodelling, leading to increased T cell effector functions and resistance to exhaustion in chronic stimulation settings through constitutive activation of the canonical NF-κB pathway. LTBR and other highly ranked genes improved the antigen-specific responses of chimeric antigen receptor T cells and γδ T cells, highlighting their potential for future cancer-agnostic therapies5. Our results provide several strategies for improving next-generation T cell therapies by the induction of synthetic cell programmes. A genome-scale gain-of-function screen using overexpression of nearly 12,000 open reading frames (ORFs) identifies positive regulators of human T cell function and suggests that ORF-based screens could be applied clinically to improve T cell therapies.
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