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
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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。
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.
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