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本文引用的文献

1
Strategies to reinvigorate exhausted CD8 T cells in tumor microenvironment.在肿瘤微环境中重振耗竭 CD8 T 细胞的策略。
Front Immunol. 2023 Jun 16;14:1204363. doi: 10.3389/fimmu.2023.1204363. eCollection 2023.
2
DNA architectural protein CTCF facilitates subset-specific chromatin interactions to limit the formation of memory CD8 T cells.DNA 结构蛋白 CTCF 促进特定亚群的染色质相互作用,以限制记忆性 CD8 T 细胞的形成。
Immunity. 2023 May 9;56(5):959-978.e10. doi: 10.1016/j.immuni.2023.03.017. Epub 2023 Apr 10.
3
Multi-modular structure of the gene regulatory network for specification and commitment of murine T cells.多模块结构的基因调控网络对鼠 T 细胞的鉴定和定型。
Front Immunol. 2023 Jan 31;14:1108368. doi: 10.3389/fimmu.2023.1108368. eCollection 2023.
4
Krüppel-like factor 4 regulates the cytolytic effector function of exhausted CD8 T cells.Krüppel 样因子 4 调节耗竭的 CD8 T 细胞的细胞溶解效应功能。
Sci Adv. 2022 Nov 25;8(47):eadc9346. doi: 10.1126/sciadv.adc9346.
5
The transcription factor IRF2 drives interferon-mediated CD8 T cell exhaustion to restrict anti-tumor immunity.转录因子 IRF2 驱动干扰素介导的 CD8 T 细胞耗竭以限制抗肿瘤免疫。
Immunity. 2022 Dec 13;55(12):2369-2385.e10. doi: 10.1016/j.immuni.2022.10.020. Epub 2022 Nov 11.
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HSCs: slow me down with PLAG1.
Blood. 2022 Sep 1;140(9):935-936. doi: 10.1182/blood.2022017069.
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Tcf1-CTCF cooperativity shapes genomic architecture to promote CD8 T cell homeostasis.Tcf1-CTCF 协同作用塑造基因组结构以促进 CD8 T 细胞稳态。
Nat Immunol. 2022 Aug;23(8):1222-1235. doi: 10.1038/s41590-022-01263-6. Epub 2022 Jul 26.
8
Resilient T-cell responses in patients with advanced cancers.晚期癌症患者的 T 细胞具有较强的免疫反应能力。
Int J Hematol. 2023 May;117(5):634-639. doi: 10.1007/s12185-022-03424-7. Epub 2022 Jul 21.
9
Cytokine storm promoting T cell exhaustion in severe COVID-19 revealed by single cell sequencing data analysis.单细胞测序数据分析揭示细胞因子风暴促进重症 COVID-19 中的 T 细胞耗竭
Precis Clin Med. 2022 May 23;5(2):pbac014. doi: 10.1093/pcmedi/pbac014. eCollection 2022 Jun.
10
Single-cell deletion analyses show control of pro-T cell developmental speed and pathways by Tcf7, Spi1, Gata3, Bcl11a, Erg, and Bcl11b.单细胞删除分析显示 Tcf7、Spi1、Gata3、Bcl11a、Erg 和 Bcl11b 对原 T 细胞发育速度和途径的控制。
Sci Immunol. 2022 May 20;7(71):eabm1920. doi: 10.1126/sciimmunol.abm1920.

肿瘤免疫微环境中CD8 T细胞耗竭背后细胞相互作用的鉴定

Identification of Cellular Interactions in the Tumor Immune Microenvironment Underlying CD8 T Cell Exhaustion.

作者信息

Klocke Christopher, Moran Amy, Adey Andrew, McWeeney Shannon, Wu Guanming

机构信息

Division of Bioinformatics and Computational Biomedicine, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA.

Department of Cell, Developmental and Cancer Biology, Oregon Health & Science University, Portland, OR, USA.

出版信息

bioRxiv. 2023 Nov 13:2023.11.09.566384. doi: 10.1101/2023.11.09.566384.

DOI:10.1101/2023.11.09.566384
PMID:38014233
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10680664/
Abstract

While immune checkpoint inhibitors show success in treating a subset of patients with certain late-stage cancers, these treatments fail in many other patients as a result of mechanisms that have yet to be fully characterized. The process of CD8 T cell exhaustion, by which T cells become dysfunctional in response to prolonged antigen exposure, has been implicated in immunotherapy resistance. Single-cell RNA sequencing (scRNA-seq) produces an abundance of data to analyze this process; however, due to the complexity of the process, contributions of other cell types to a process within a single cell type cannot be simply inferred. We constructed an analysis framework to first rank human skin tumor samples by degree of exhaustion in tumor-infiltrating CD8 T cells and then identify immune cell type-specific gene-regulatory network patterns significantly associated with T cell exhaustion. Using this framework, we further analyzed scRNA-seq data from human tumor and chronic viral infection samples to compare the T cell exhaustion process between these two contexts. In doing so, we identified transcription factor activity in the macrophages of both tissue types associated with this process. Our framework can be applied beyond the tumor immune microenvironment to any system involving cell-cell communication, facilitating insights into key biological processes that underpin the effective treatment of cancer and other complicated diseases.

摘要

虽然免疫检查点抑制剂在治疗某些晚期癌症的部分患者中取得了成功,但由于尚未完全明确的机制,这些治疗方法在许多其他患者中失败。CD8 T细胞耗竭过程,即T细胞因长期暴露于抗原而功能失调,与免疫治疗耐药性有关。单细胞RNA测序(scRNA-seq)产生了大量数据来分析这一过程;然而,由于该过程的复杂性,不能简单推断其他细胞类型对单一细胞类型内某一过程的贡献。我们构建了一个分析框架,首先根据肿瘤浸润性CD8 T细胞的耗竭程度对人类皮肤肿瘤样本进行排名,然后识别与T细胞耗竭显著相关的免疫细胞类型特异性基因调控网络模式。使用这个框架,我们进一步分析了来自人类肿瘤和慢性病毒感染样本的scRNA-seq数据,以比较这两种情况下的T细胞耗竭过程。在此过程中,我们确定了与该过程相关的两种组织类型巨噬细胞中的转录因子活性。我们的框架不仅可以应用于肿瘤免疫微环境,还可以应用于任何涉及细胞间通讯的系统,有助于深入了解支撑癌症和其他复杂疾病有效治疗的关键生物学过程。