对 RBP 调节组的全面分析揭示了肝癌的功能模块和候选药物

Mateusz Garbulowski, Riccardo Mosca, Carlos J. Gallardo-Dodd, Claudia Kutter, Erik L. L. Sonnhammer
{"title":"对 RBP 调节组的全面分析揭示了肝癌的功能模块和候选药物","authors":"Mateusz Garbulowski, Riccardo Mosca, Carlos J. Gallardo-Dodd, Claudia Kutter, Erik L. L. Sonnhammer","doi":"10.1101/2024.09.04.611258","DOIUrl":null,"url":null,"abstract":"RNA binding proteins (RBPs) are essential components of the transcriptomic regulome. Identifying the RBP regulome in cancer cells is crucial to discovering and understanding carcinogenesis mechanisms and providing new therapeutic targets. Here, we aimed to reveal the regulome of liver cancer upon specific perturbations. To this end, we applied a consensus Gene Regulatory Network (GRN) approach using knockdown data for the liver cancer cell line HepG2. By incorporating multiple GRNs from diverse inference methods, we constructed a highly precise GRN. To validate our results, we comprehensively evaluated the consensus GRN, focusing on characterizing the most relevant aspects of the liver cancer regulome. This included utilizing eCLIP-seq and RAPseq data to verify RBP interactions and binding sites. In addition, we performed an enrichment analysis of network modules and drug repurposing based on the inferred GRN. Taken together, our findings demonstrate the critical roles of RBP regulatory interactions in liver cancer that can be employed to improve treatment strategies.","PeriodicalId":501233,"journal":{"name":"bioRxiv - Cancer Biology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comprehensive analysis of the RBP regulome reveals functional modules and drug candidates in liver cancer\",\"authors\":\"Mateusz Garbulowski, Riccardo Mosca, Carlos J. Gallardo-Dodd, Claudia Kutter, Erik L. L. Sonnhammer\",\"doi\":\"10.1101/2024.09.04.611258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"RNA binding proteins (RBPs) are essential components of the transcriptomic regulome. Identifying the RBP regulome in cancer cells is crucial to discovering and understanding carcinogenesis mechanisms and providing new therapeutic targets. Here, we aimed to reveal the regulome of liver cancer upon specific perturbations. To this end, we applied a consensus Gene Regulatory Network (GRN) approach using knockdown data for the liver cancer cell line HepG2. By incorporating multiple GRNs from diverse inference methods, we constructed a highly precise GRN. To validate our results, we comprehensively evaluated the consensus GRN, focusing on characterizing the most relevant aspects of the liver cancer regulome. This included utilizing eCLIP-seq and RAPseq data to verify RBP interactions and binding sites. In addition, we performed an enrichment analysis of network modules and drug repurposing based on the inferred GRN. Taken together, our findings demonstrate the critical roles of RBP regulatory interactions in liver cancer that can be employed to improve treatment strategies.\",\"PeriodicalId\":501233,\"journal\":{\"name\":\"bioRxiv - Cancer Biology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"bioRxiv - Cancer Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.09.04.611258\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"bioRxiv - Cancer Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.09.04.611258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

RNA 结合蛋白(RBPs)是转录组调控组的重要组成部分。鉴定癌细胞中的 RBP 调节组对于发现和了解致癌机制以及提供新的治疗靶点至关重要。在此,我们旨在揭示肝癌在特定扰动下的调控组。为此,我们利用肝癌细胞系 HepG2 的基因敲除数据,采用共识基因调控网络(GRN)方法。通过整合来自不同推断方法的多个基因调控网络,我们构建了一个高度精确的基因调控网络。为了验证我们的结果,我们全面评估了共识 GRN,重点描述了肝癌调控组最相关的方面。这包括利用 eCLIP-seq 和 RAPseq 数据验证 RBP 相互作用和结合位点。此外,我们还根据推断出的 GRN 对网络模块和药物再利用进行了富集分析。总之,我们的研究结果证明了 RBP 调节相互作用在肝癌中的关键作用,可用于改善治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Comprehensive analysis of the RBP regulome reveals functional modules and drug candidates in liver cancer
RNA binding proteins (RBPs) are essential components of the transcriptomic regulome. Identifying the RBP regulome in cancer cells is crucial to discovering and understanding carcinogenesis mechanisms and providing new therapeutic targets. Here, we aimed to reveal the regulome of liver cancer upon specific perturbations. To this end, we applied a consensus Gene Regulatory Network (GRN) approach using knockdown data for the liver cancer cell line HepG2. By incorporating multiple GRNs from diverse inference methods, we constructed a highly precise GRN. To validate our results, we comprehensively evaluated the consensus GRN, focusing on characterizing the most relevant aspects of the liver cancer regulome. This included utilizing eCLIP-seq and RAPseq data to verify RBP interactions and binding sites. In addition, we performed an enrichment analysis of network modules and drug repurposing based on the inferred GRN. Taken together, our findings demonstrate the critical roles of RBP regulatory interactions in liver cancer that can be employed to improve treatment strategies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Craters on the melanoma surface facilitate tumor-immune interactions and demonstrate pathologic response to checkpoint blockade in humans DNFE: Directed-network flow entropy for detecting the tipping points during biological processes Transcriptional program-based deciphering of the MET exon 14 skipping regulation network Mutant p53 Misfolding and Aggregation Precedes Transformation into High-Grade Serous Ovarian Carcinoma Integrative multiomic approaches reveal ZMAT3 and p21 as conserved hubs in the p53 tumor suppression network
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1