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
[Springer Nature]
日期:2022-03-16
卷期号:603 (7902): 728-735
被引量:112
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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