Micropeptides derived from long non-coding RNAs: Computational analysis and functional roles in breast cancer and other diseases

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Saisai Chen , Mengru Liu , Weizhen Yi , Huagang Li , Qingsheng Yu
{"title":"Micropeptides derived from long non-coding RNAs: Computational analysis and functional roles in breast cancer and other diseases","authors":"Saisai Chen ,&nbsp;Mengru Liu ,&nbsp;Weizhen Yi ,&nbsp;Huagang Li ,&nbsp;Qingsheng Yu","doi":"10.1016/j.gene.2024.149019","DOIUrl":null,"url":null,"abstract":"<div><div>Long non-coding RNAs (lncRNAs), once thought to be mere transcriptional noise, are now revealing a hidden code. Recent advancements like ribosome sequencing have unveiled that many lncRNAs harbor small open reading frames and can potentially encode functional micropeptides. Emerging research suggests these micropeptides, not the lncRNAs themselves, play crucial roles in regulating homeostasis, inflammation, metabolism, and especially in breast cancer progression. This review delves into the rapidly evolving computational tools used to predict and validate lncRNA-encoded micropeptides. We then explore the diverse functions and mechanisms of action of these micropeptides in breast cancer pathogenesis, with a focus on their roles in various species. Ultimately, this review aims to illuminate the functional landscape of lncRNA-encoded micropeptides and their potential as therapeutic targets in cancer.</div></div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378111924009004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0

Abstract

Long non-coding RNAs (lncRNAs), once thought to be mere transcriptional noise, are now revealing a hidden code. Recent advancements like ribosome sequencing have unveiled that many lncRNAs harbor small open reading frames and can potentially encode functional micropeptides. Emerging research suggests these micropeptides, not the lncRNAs themselves, play crucial roles in regulating homeostasis, inflammation, metabolism, and especially in breast cancer progression. This review delves into the rapidly evolving computational tools used to predict and validate lncRNA-encoded micropeptides. We then explore the diverse functions and mechanisms of action of these micropeptides in breast cancer pathogenesis, with a focus on their roles in various species. Ultimately, this review aims to illuminate the functional landscape of lncRNA-encoded micropeptides and their potential as therapeutic targets in cancer.
源自长非编码 RNA 的微肽:乳腺癌和其他疾病中的计算分析和功能作用。
长非编码 RNA(lncRNA)曾一度被认为只是转录过程中的噪音,但现在却揭示了隐藏的密码。核糖体测序等最新进展揭示出,许多lncRNA都蕴藏着小型开放阅读框架,有可能编码功能性微肽。新的研究表明,这些微肽(而非 lncRNA 本身)在调节体内平衡、炎症、新陈代谢,尤其是在乳腺癌进展中发挥着至关重要的作用。本综述深入探讨了用于预测和验证lncRNA编码的微肽的快速发展的计算工具。然后,我们将探讨这些微肽在乳腺癌发病机制中的不同功能和作用机制,重点关注它们在不同物种中的作用。最后,本综述旨在阐明lncRNA编码的微肽的功能及其作为癌症治疗靶点的潜力。
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
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
×
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