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人类免疫细胞发育和肿瘤内 T 细胞耗竭的大规模平行单细胞染色质景观。

Massively parallel single-cell chromatin landscapes of human immune cell development and intratumoral T cell exhaustion.

机构信息

Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.

Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.

出版信息

Nat Biotechnol. 2019 Aug;37(8):925-936. doi: 10.1038/s41587-019-0206-z. Epub 2019 Aug 2.

Abstract

Understanding complex tissues requires single-cell deconstruction of gene regulation with precision and scale. Here, we assess the performance of a massively parallel droplet-based method for mapping transposase-accessible chromatin in single cells using sequencing (scATAC-seq). We apply scATAC-seq to obtain chromatin profiles of more than 200,000 single cells in human blood and basal cell carcinoma. In blood, application of scATAC-seq enables marker-free identification of cell type-specific cis- and trans-regulatory elements, mapping of disease-associated enhancer activity and reconstruction of trajectories of cellular differentiation. In basal cell carcinoma, application of scATAC-seq reveals regulatory networks in malignant, stromal and immune cells in the tumor microenvironment. Analysis of scATAC-seq profiles from serial tumor biopsies before and after programmed cell death protein 1 blockade identifies chromatin regulators of therapy-responsive T cell subsets and reveals a shared regulatory program that governs intratumoral CD8 T cell exhaustion and CD4 T follicular helper cell development. We anticipate that scATAC-seq will enable the unbiased discovery of gene regulatory factors across diverse biological systems.

摘要

理解复杂组织需要以精确和可扩展的方式对基因调控进行单细胞解构。在这里,我们评估了一种大规模平行基于液滴的方法在单细胞中进行转座酶可及染色质测序(scATAC-seq)的性能。我们应用 scATAC-seq 获得了超过 200,000 个人血液和基底细胞癌单细胞的染色质图谱。在血液中,scATAC-seq 的应用能够实现无标记的细胞类型特异性顺式和反式调控元件的鉴定、疾病相关增强子活性的作图以及细胞分化轨迹的重建。在基底细胞癌中,scATAC-seq 的应用揭示了肿瘤微环境中恶性、基质和免疫细胞中的调控网络。对程序性细胞死亡蛋白 1 阻断前后的连续肿瘤活检进行 scATAC-seq 图谱分析,鉴定了治疗反应性 T 细胞亚群的染色质调节因子,并揭示了一个共同的调控程序,该程序控制了肿瘤内 CD8 T 细胞耗竭和 CD4 T 滤泡辅助细胞的发展。我们预计 scATAC-seq 将能够在不同的生物系统中实现基因调控因子的无偏发现。

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