系统鉴定导致癌症剪接异常的 RNA 结合蛋白 (RBP)。

IF 3.9 3区 工程技术 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Cesar Lobato-Fernandez, Marian Gimeno, Ane San Martín, Ana Anorbe, Angel Rubio, Juan A Ferrer-Bonsoms
{"title":"系统鉴定导致癌症剪接异常的 RNA 结合蛋白 (RBP)。","authors":"Cesar Lobato-Fernandez, Marian Gimeno, Ane San Martín, Ana Anorbe, Angel Rubio, Juan A Ferrer-Bonsoms","doi":"10.3390/biomedicines12112592","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Alternative Splicing (AS) is a post-transcriptional process that allows a single RNA to produce different mRNA variants and, in some cases, multiple proteins. Various processes, many yet to be discovered, regulate AS. This study focuses on regulation by RNA-binding proteins (RBPs), which are not only crucial for splicing regulation but also linked to cancer prognosis and are emerging as therapeutic targets for cancer treatment. CLIP-seq experiments help identify where RBPs bind on nascent transcripts, potentially revealing changes in splicing status that suggest causal relationships. Selecting specific RBPs for CLIP-seq experiments is often driven by a priori hypotheses.</p><p><strong>Results: </strong>We developed an algorithm to detect RBPs likely related to splicing changes between conditions by integrating several CLIP-seq databases and a differential splicing detection algorithm. This work refines a previous study by improving splicing event prediction, testing different enrichment statistics, and performing additional validation experiments. The new method provides more accurate predictions and is included in the Bioconductor package EventPointer 3.14. We tested the algorithm in four experiments involving knockdowns of seven different RBPs. The algorithm accurately assessed the statistical significance of these RBPs using only splicing alterations. Additionally, we applied the algorithm to study sixteen cancer types from The Cancer Genome Atlas (TCGA) and three from TARGET. We identified relationships between RBPs and various cancer types, including alterations in CREBBP and MBNL2 in adenocarcinomas of the lung, liver, prostate, rectum, stomach, and colon. Some of these findings are validated in the literature, while others are novel.</p><p><strong>Conclusions: </strong>The developed algorithm enhances the ability to predict and understand RBP-related splicing changes, offering more accurate predictions and novel insights into cancer-related splicing alterations. This work highlights the potential of RBPs as therapeutic targets and contributes to the broader understanding of their roles in cancer biology.</p>","PeriodicalId":8937,"journal":{"name":"Biomedicines","volume":"12 11","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11591948/pdf/","citationCount":"0","resultStr":"{\"title\":\"A Systematic Identification of RNA-Binding Proteins (RBPs) Driving Aberrant Splicing in Cancer.\",\"authors\":\"Cesar Lobato-Fernandez, Marian Gimeno, Ane San Martín, Ana Anorbe, Angel Rubio, Juan A Ferrer-Bonsoms\",\"doi\":\"10.3390/biomedicines12112592\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Alternative Splicing (AS) is a post-transcriptional process that allows a single RNA to produce different mRNA variants and, in some cases, multiple proteins. Various processes, many yet to be discovered, regulate AS. This study focuses on regulation by RNA-binding proteins (RBPs), which are not only crucial for splicing regulation but also linked to cancer prognosis and are emerging as therapeutic targets for cancer treatment. CLIP-seq experiments help identify where RBPs bind on nascent transcripts, potentially revealing changes in splicing status that suggest causal relationships. Selecting specific RBPs for CLIP-seq experiments is often driven by a priori hypotheses.</p><p><strong>Results: </strong>We developed an algorithm to detect RBPs likely related to splicing changes between conditions by integrating several CLIP-seq databases and a differential splicing detection algorithm. This work refines a previous study by improving splicing event prediction, testing different enrichment statistics, and performing additional validation experiments. The new method provides more accurate predictions and is included in the Bioconductor package EventPointer 3.14. We tested the algorithm in four experiments involving knockdowns of seven different RBPs. The algorithm accurately assessed the statistical significance of these RBPs using only splicing alterations. Additionally, we applied the algorithm to study sixteen cancer types from The Cancer Genome Atlas (TCGA) and three from TARGET. We identified relationships between RBPs and various cancer types, including alterations in CREBBP and MBNL2 in adenocarcinomas of the lung, liver, prostate, rectum, stomach, and colon. Some of these findings are validated in the literature, while others are novel.</p><p><strong>Conclusions: </strong>The developed algorithm enhances the ability to predict and understand RBP-related splicing changes, offering more accurate predictions and novel insights into cancer-related splicing alterations. This work highlights the potential of RBPs as therapeutic targets and contributes to the broader understanding of their roles in cancer biology.</p>\",\"PeriodicalId\":8937,\"journal\":{\"name\":\"Biomedicines\",\"volume\":\"12 11\",\"pages\":\"\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11591948/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomedicines\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.3390/biomedicines12112592\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedicines","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3390/biomedicines12112592","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

背景:替代剪接(AS)是一种转录后过程,可使单个 RNA 产生不同的 mRNA 变体,在某些情况下还可产生多种蛋白质。调节 AS 的过程多种多样,其中许多尚未被发现。这项研究的重点是 RNA 结合蛋白(RBPs)的调控,RBPs 不仅对剪接调控至关重要,而且与癌症预后有关,正在成为癌症治疗的新靶点。CLIP-seq实验有助于确定RBPs在新生转录本上的结合位置,从而揭示剪接状态的变化,从而提示因果关系。为 CLIP-seq 实验选择特定的 RBPs 通常受先验假设的驱动:我们开发了一种算法,通过整合多个 CLIP-seq 数据库和差异剪接检测算法来检测可能与不同条件下剪接变化有关的 RBPs。这项工作改进了剪接事件预测,测试了不同的富集统计量,并进行了额外的验证实验,从而完善了之前的研究。新方法提供了更准确的预测,并被收录到 Bioconductor 软件包 EventPointer 3.14 中。我们在涉及 7 种不同 RBPs 基因敲除的 4 项实验中测试了该算法。该算法仅通过剪接改变就准确评估了这些 RBPs 的统计意义。此外,我们还应用该算法研究了癌症基因组图谱(TCGA)中的 16 种癌症类型和 TARGET 中的 3 种癌症类型。我们发现了 RBP 与各种癌症类型之间的关系,包括肺腺癌、肝癌、前列腺癌、直肠癌、胃癌和结肠癌中 CREBBP 和 MBNL2 的改变。其中一些发现在文献中得到了验证,而另一些则是新发现:所开发的算法提高了预测和理解 RBP 相关剪接变化的能力,提供了更准确的预测和对癌症相关剪接变化的新见解。这项工作凸显了 RBPs 作为治疗靶点的潜力,有助于人们更广泛地了解它们在癌症生物学中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Systematic Identification of RNA-Binding Proteins (RBPs) Driving Aberrant Splicing in Cancer.

Background: Alternative Splicing (AS) is a post-transcriptional process that allows a single RNA to produce different mRNA variants and, in some cases, multiple proteins. Various processes, many yet to be discovered, regulate AS. This study focuses on regulation by RNA-binding proteins (RBPs), which are not only crucial for splicing regulation but also linked to cancer prognosis and are emerging as therapeutic targets for cancer treatment. CLIP-seq experiments help identify where RBPs bind on nascent transcripts, potentially revealing changes in splicing status that suggest causal relationships. Selecting specific RBPs for CLIP-seq experiments is often driven by a priori hypotheses.

Results: We developed an algorithm to detect RBPs likely related to splicing changes between conditions by integrating several CLIP-seq databases and a differential splicing detection algorithm. This work refines a previous study by improving splicing event prediction, testing different enrichment statistics, and performing additional validation experiments. The new method provides more accurate predictions and is included in the Bioconductor package EventPointer 3.14. We tested the algorithm in four experiments involving knockdowns of seven different RBPs. The algorithm accurately assessed the statistical significance of these RBPs using only splicing alterations. Additionally, we applied the algorithm to study sixteen cancer types from The Cancer Genome Atlas (TCGA) and three from TARGET. We identified relationships between RBPs and various cancer types, including alterations in CREBBP and MBNL2 in adenocarcinomas of the lung, liver, prostate, rectum, stomach, and colon. Some of these findings are validated in the literature, while others are novel.

Conclusions: The developed algorithm enhances the ability to predict and understand RBP-related splicing changes, offering more accurate predictions and novel insights into cancer-related splicing alterations. This work highlights the potential of RBPs as therapeutic targets and contributes to the broader understanding of their roles in cancer biology.

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
Biomedicines
Biomedicines Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
5.20
自引率
8.50%
发文量
2823
审稿时长
8 weeks
期刊介绍: Biomedicines (ISSN 2227-9059; CODEN: BIOMID) is an international, scientific, open access journal on biomedicines published quarterly online by MDPI.
×
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