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系统水平鉴定免疫细胞特化中的关键转录因子。

Systems-level identification of key transcription factors in immune cell specification.

机构信息

Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California, United States of America.

Division of Biological Sciences, University of California San Diego, La Jolla, California, United States of America.

出版信息

PLoS Comput Biol. 2022 Sep 26;18(9):e1010116. doi: 10.1371/journal.pcbi.1010116. eCollection 2022 Sep.

Abstract

Transcription factors (TFs) are crucial for regulating cell differentiation during the development of the immune system. However, the key TFs for orchestrating the specification of distinct immune cells are not fully understood. Here, we integrated the transcriptomic and epigenomic measurements in 73 mouse and 61 human primary cell types, respectively, that span the immune cell differentiation pathways. We constructed the cell-type-specific transcriptional regulatory network and assessed the global importance of TFs based on the Taiji framework, which is a method we have previously developed that can infer the global impact of TFs using integrated transcriptomic and epigenetic data. Integrative analysis across cell types revealed putative driver TFs in cell lineage-specific differentiation in both mouse and human systems. We have also identified TF combinations that play important roles in specific developmental stages. Furthermore, we validated the functions of predicted novel TFs in murine CD8+ T cell differentiation and showed the importance of Elf1 and Prdm9 in the effector versus memory T cell fate specification and Kdm2b and Tet3 in promoting differentiation of CD8+ tissue resident memory (Trm) cells, validating the approach. Thus, we have developed a bioinformatic approach that provides a global picture of the regulatory mechanisms that govern cellular differentiation in the immune system and aids the discovery of novel mechanisms in cell fate decisions.

摘要

转录因子(TFs)在免疫系统发育过程中对调节细胞分化至关重要。然而,对于协调不同免疫细胞特化的关键 TF 还不完全了解。在这里,我们分别整合了 73 种小鼠和 61 种人类原代细胞类型的转录组和表观基因组测量,这些细胞类型涵盖了免疫细胞分化途径。我们构建了细胞类型特异性转录调控网络,并基于太极框架评估了 TF 的全局重要性,太极框架是我们之前开发的一种方法,它可以使用整合的转录组和表观遗传数据推断 TF 的全局影响。跨细胞类型的综合分析揭示了在小鼠和人类系统中细胞谱系特异性分化中的潜在驱动 TF。我们还确定了在特定发育阶段发挥重要作用的 TF 组合。此外,我们验证了预测的新型 TF 在小鼠 CD8+T 细胞分化中的功能,并表明 Elf1 和 Prdm9 在效应器与记忆 T 细胞命运特化以及 Kdm2b 和 Tet3 在促进 CD8+组织驻留记忆(Trm)细胞分化中的重要作用,验证了该方法。因此,我们开发了一种生物信息学方法,提供了免疫系统中细胞分化调控机制的全局图景,并有助于发现细胞命运决定中的新机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb2d/9536753/23e4c07b768b/pcbi.1010116.g001.jpg

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