Single-cell transcriptomics reveals IRF7 regulation of the tumor microenvironment in isocitrate dehydrogenase wild-type glioma

IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL MedComm Pub Date : 2024-11-03 DOI:10.1002/mco2.754
Jinwei Li, Shengrong Long, Zhang Yang, Wei Wei, Shuangqi Yu, Quan Liu, Xuhui Hui, Xiang Li, Yinyan Wang
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Abstract

Mutations in isocitrate dehydrogenase (IDH) are important markers of glioma prognosis. However, few studies have examined the gene expression regulatory network (GRN) in IDH-mutant and wild-type gliomas. In this study, single-cell RNA sequencing and spatial transcriptome sequencing were used to analyze the GRN of cell subsets in patients with IDH-mutant and wild-type gliomas. Through gene transcriptional regulation analysis, we identified the M4 module, whose transcription factor activity is highly expressed in IDH wild-type gliomas compared to IDH-mutants. Enrichment analysis revealed that these genes were predominantly expressed in microglia and macrophages, with significant enrichment in interferon-related signaling pathways. Interferon regulatory factor 7 (IRF7), a transcription factor within this pathway, showed the highest percentage of enrichment and was primarily localized in the core region of wild-type IDH tumors. A machine-learning prognostic model identified novel subgroups within the wild-type IDH population. Additionally, IRF7 was shown to promote the proliferation and migration of T98G and U251 cells in vitro, and its knockdown affected glioma cell proliferation in vivo. This study systematically established the regulatory mechanism of IDH transcriptional activity in gliomas at the single-cell level and drew a corresponding cell map. The study presents a transcriptional regulatory activity map for IDH wild-type gliomas, involving single-cell RNA sequencing and spatial transcriptomics to identify gene regulatory networks, machine learning models for IDH subtyping, and experimental validation, highlighting the role of IRF7 in glioma progression.

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单细胞转录组学揭示了IRF7对异柠檬酸脱氢酶野生型胶质瘤肿瘤微环境的调控作用
异柠檬酸脱氢酶(IDH)突变是胶质瘤预后的重要标志。然而,很少有研究对IDH突变型和野生型胶质瘤的基因表达调控网络(GRN)进行研究。本研究利用单细胞RNA测序和空间转录组测序分析了IDH突变型和野生型胶质瘤患者细胞亚群的基因表达调控网络。通过基因转录调控分析,我们发现了M4模块,与IDH突变体相比,其转录因子活性在IDH野生型胶质瘤中表达较高。富集分析显示,这些基因主要在小胶质细胞和巨噬细胞中表达,并在干扰素相关信号通路中显著富集。干扰素调节因子7(IRF7)是该通路中的一个转录因子,富集比例最高,主要定位于野生型IDH肿瘤的核心区域。机器学习预后模型在野生型IDH人群中发现了新的亚组。此外,IRF7在体外促进了T98G和U251细胞的增殖和迁移,其敲除影响了胶质瘤细胞在体内的增殖。本研究在单细胞水平上系统地建立了胶质瘤中IDH转录活性的调控机制,并绘制了相应的细胞图谱。该研究通过单细胞RNA测序和空间转录组学识别基因调控网络,建立IDH亚型的机器学习模型,并通过实验验证,提出了IDH野生型胶质瘤的转录调控活性图谱,强调了IRF7在胶质瘤进展中的作用。
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6.70
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0.00%
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审稿时长
10 weeks
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