Integrating multi-omics data to identify the role of Aggrephagy-related genes in tumor microenvironment and key tumorigenesis factors of GB from the perspective of single-cell sequencing.

IF 2.8 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Zipei Chen, Shengke Zhang, Chenglu Jiang, Lai Jiang, Haiqing Chen, Jinbang Huang, Jie Liu, Guanhu Yang, Xiufang Luo, Hao Chi, Jiangping Fu
{"title":"Integrating multi-omics data to identify the role of Aggrephagy-related genes in tumor microenvironment and key tumorigenesis factors of GB from the perspective of single-cell sequencing.","authors":"Zipei Chen, Shengke Zhang, Chenglu Jiang, Lai Jiang, Haiqing Chen, Jinbang Huang, Jie Liu, Guanhu Yang, Xiufang Luo, Hao Chi, Jiangping Fu","doi":"10.1007/s12672-025-02431-4","DOIUrl":null,"url":null,"abstract":"<p><p>This study presents a pioneering exploration into the role of aggrephagy-related genes (ARGs) in glioblastoma (GB), a kind of malignant tumor which is highly invasive and resistant to a series of therapy. Utilizing single-cell sequencing to dissect their influence on the tumor microenvironment (TME) and tumorigenesis. By applying non-negative matrix factorization for dimensionality reduction and clustering of single-cell data, distinct cellular subtypes within the TME influenced by ARGs were identified, uncovering their functions and interactions. The investigation extends to validating the prognostic significance of ARGs and their potential in predicting immunotherapy outcomes. Molecular docking analysis of key ARGs further highlights TUBA1C and UBB as promising therapeutic targets, offering novel insights into GB's complex biology and suggesting a targeted approach for therapy, which is characterized by some crucial pathways in our analysis, including PI3k-akt and TGF-beta pathways. This comprehensive single-cell level examination not only advances our understanding of aggrephagy's role in GB but also proposes new avenues for prognosis and treatment strategies, emphasizing the critical impact of ARGs on the TME and GB progression.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"777"},"PeriodicalIF":2.8000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12084465/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discover. Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12672-025-02431-4","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

Abstract

This study presents a pioneering exploration into the role of aggrephagy-related genes (ARGs) in glioblastoma (GB), a kind of malignant tumor which is highly invasive and resistant to a series of therapy. Utilizing single-cell sequencing to dissect their influence on the tumor microenvironment (TME) and tumorigenesis. By applying non-negative matrix factorization for dimensionality reduction and clustering of single-cell data, distinct cellular subtypes within the TME influenced by ARGs were identified, uncovering their functions and interactions. The investigation extends to validating the prognostic significance of ARGs and their potential in predicting immunotherapy outcomes. Molecular docking analysis of key ARGs further highlights TUBA1C and UBB as promising therapeutic targets, offering novel insights into GB's complex biology and suggesting a targeted approach for therapy, which is characterized by some crucial pathways in our analysis, including PI3k-akt and TGF-beta pathways. This comprehensive single-cell level examination not only advances our understanding of aggrephagy's role in GB but also proposes new avenues for prognosis and treatment strategies, emphasizing the critical impact of ARGs on the TME and GB progression.

整合多组学数据,从单细胞测序的角度,识别聚集相关基因在肿瘤微环境中的作用以及GB的关键致瘤因子。
本研究对胶质母细胞瘤(glioblastoma, GB)是一种侵袭性强且对一系列治疗具有耐药性的恶性肿瘤,其聚集相关基因(aggrephagy-related genes, ARGs)在其中的作用进行了开创性的探索。利用单细胞测序分析其对肿瘤微环境(TME)和肿瘤发生的影响。通过应用非负矩阵分解对单细胞数据进行降维和聚类,鉴定了受ARGs影响的TME内不同的细胞亚型,揭示了它们的功能和相互作用。研究扩展到验证ARGs的预后意义及其在预测免疫治疗结果方面的潜力。关键ARGs的分子对接分析进一步强调了TUBA1C和UBB作为有希望的治疗靶点,为GB的复杂生物学提供了新的见解,并提出了一种靶向治疗方法,我们分析的一些关键通路包括PI3k-akt和tgf - β通路。这项全面的单细胞水平检查不仅促进了我们对吞噬在GB中的作用的理解,而且还为预后和治疗策略提供了新的途径,强调了ARGs对TME和GB进展的关键影响。
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
Discover. Oncology
Discover. Oncology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
2.40
自引率
9.10%
发文量
122
审稿时长
5 weeks
×
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