Single-Cell RNA Sequencing Identifies Crucial Genes Influencing the Polarization of Tumor-Associated Macrophages in Liver Cancer

Kedong Xu, Mingyi Dong, Zhengqiang Wu, Linfei Luo, Fei Xie, Fan Li, Hongyan Huang, Fenfen Wang, Xiaofeng Xiong, Zhili Wen
{"title":"Single-Cell RNA Sequencing Identifies Crucial Genes Influencing the Polarization of Tumor-Associated Macrophages in Liver Cancer","authors":"Kedong Xu,&nbsp;Mingyi Dong,&nbsp;Zhengqiang Wu,&nbsp;Linfei Luo,&nbsp;Fei Xie,&nbsp;Fan Li,&nbsp;Hongyan Huang,&nbsp;Fenfen Wang,&nbsp;Xiaofeng Xiong,&nbsp;Zhili Wen","doi":"10.1155/2024/7263358","DOIUrl":null,"url":null,"abstract":"<div>\n <p><i>Background</i>. In the context of hepatocellular carcinoma (HCC), tumor-associated macrophages (TAMs) are pivotal for the immunosuppressive nature of the tumor microenvironment (TME). This investigation delves into the functional transformations of TAMs within the TME by leveraging single-cell transcriptomics to pinpoint critical genes influencing TAM subset polarization. <i>Methods</i>. We procured single-cell and bulk transcriptomic data from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA), implementing quality assurance, dimensional reduction, clustering, and annotation on the single-cell sequencing data. To examine cellular interactions, CellChat was utilized, while single-cell regulatory network inference and clustering (SCENIC) was applied to deduce transcription factors (TFs) and their associated targets. Through gene enrichment, survival, and immune infiltration correlation analyses, we sought to pinpoint and validate influential genes. A TAM model under HCC conditions was then established to confirm the expression levels of these key genes. <i>Results</i>. Our analysis encompassed 74,742 cells and 23,110 genes. Through postdimensional reduction and clustering, we identified seven distinct cell types and nine TAM subtypes. Analysis via CellChat highlighted a predominance of M2-phenotype-inclined TAM subsets within the tumor’s core. SCENIC pinpointed the transcription factor PRDM1 and its target genes as pivotal in this region. Further analysis indicated these genes’ involvement in macrophage polarization. Employing trajectory analysis, survival analysis, and immune infiltration correlation, we scrutinized and validated genes likely directing M2 polarization. Experimental validation confirmed PRDM1’s heightened expression in TAMs conditioned by HCC. <i>Conclusions</i>. Our findings suggest the PRDM1 gene is a key regulator of M2 macrophage polarization, contributing to the immunosuppressive TME in HCC.</p>\n </div>","PeriodicalId":55239,"journal":{"name":"Comparative and Functional Genomics","volume":"2024 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/7263358","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Comparative and Functional Genomics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/2024/7263358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background. In the context of hepatocellular carcinoma (HCC), tumor-associated macrophages (TAMs) are pivotal for the immunosuppressive nature of the tumor microenvironment (TME). This investigation delves into the functional transformations of TAMs within the TME by leveraging single-cell transcriptomics to pinpoint critical genes influencing TAM subset polarization. Methods. We procured single-cell and bulk transcriptomic data from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA), implementing quality assurance, dimensional reduction, clustering, and annotation on the single-cell sequencing data. To examine cellular interactions, CellChat was utilized, while single-cell regulatory network inference and clustering (SCENIC) was applied to deduce transcription factors (TFs) and their associated targets. Through gene enrichment, survival, and immune infiltration correlation analyses, we sought to pinpoint and validate influential genes. A TAM model under HCC conditions was then established to confirm the expression levels of these key genes. Results. Our analysis encompassed 74,742 cells and 23,110 genes. Through postdimensional reduction and clustering, we identified seven distinct cell types and nine TAM subtypes. Analysis via CellChat highlighted a predominance of M2-phenotype-inclined TAM subsets within the tumor’s core. SCENIC pinpointed the transcription factor PRDM1 and its target genes as pivotal in this region. Further analysis indicated these genes’ involvement in macrophage polarization. Employing trajectory analysis, survival analysis, and immune infiltration correlation, we scrutinized and validated genes likely directing M2 polarization. Experimental validation confirmed PRDM1’s heightened expression in TAMs conditioned by HCC. Conclusions. Our findings suggest the PRDM1 gene is a key regulator of M2 macrophage polarization, contributing to the immunosuppressive TME in HCC.

Abstract Image

单细胞 RNA 测序发现影响肝癌中肿瘤相关巨噬细胞极化的关键基因
背景。在肝细胞癌(HCC)中,肿瘤相关巨噬细胞(TAMs)对肿瘤微环境(TME)的免疫抑制作用至关重要。本研究利用单细胞转录组学找出影响 TAM 亚群极化的关键基因,从而深入研究 TAM 在 TME 中的功能转变。研究方法我们从基因表达总库(Gene Expression Omnibus,GEO)和癌症基因组图谱(The Cancer Genome Atlas,TCGA)中获取了单细胞和批量转录组数据,对单细胞测序数据进行了质量保证、降维、聚类和注释。为了研究细胞间的相互作用,使用了CellChat,而单细胞调控网络推断和聚类(SCENIC)则用于推断转录因子(TFs)及其相关靶标。通过基因富集、生存和免疫浸润相关性分析,我们试图找出并验证有影响的基因。然后建立了 HCC 条件下的 TAM 模型,以确认这些关键基因的表达水平。结果我们的分析涵盖了 74,742 个细胞和 23,110 个基因。通过后降维和聚类,我们确定了七种不同的细胞类型和九种 TAM 亚型。通过 CellChat 进行的分析凸显了在肿瘤核心区域内 M2 表型倾向的 TAM 亚型占主导地位。SCENIC 确定转录因子 PRDM1 及其靶基因在这一区域起着关键作用。进一步的分析表明,这些基因参与了巨噬细胞的极化。利用轨迹分析、生存分析和免疫浸润相关性,我们仔细研究并验证了可能引导 M2 极化的基因。实验验证证实了 PRDM1 在受 HCC 影响的 TAMs 中的高表达。结论。我们的研究结果表明,PRDM1 基因是 M2 巨噬细胞极化的关键调控因子,有助于形成 HCC 的免疫抑制 TME。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Comparative and Functional Genomics
Comparative and Functional Genomics 生物-生化与分子生物学
自引率
0.00%
发文量
0
审稿时长
2 months
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信