• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种新的 miRNA 指导基因调控特异性的观点,及其对转录因子和 RNA 结合蛋白的潜在普适性。

A new perspective on microRNA-guided gene regulation specificity, and its potential generalization to transcription factors and RNA-binding proteins.

机构信息

Institut de Génétique Humaine (UMR 9002), CNRS, 141, rue de la Cardonille, 34396 Montpellier, France.

出版信息

Nucleic Acids Res. 2024 Sep 9;52(16):9360-9368. doi: 10.1093/nar/gkae694.

DOI:10.1093/nar/gkae694
PMID:39149906
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11381331/
Abstract

Our conception of gene regulation specificity has undergone profound changes over the last 20 years. Previously, regulators were considered to control few genes, recognized with exquisite specificity by a 'lock and key' mechanism. However, recently genome-wide exploration of regulator binding site occupancy (whether on DNA or RNA targets) revealed extensive lists of molecular targets for every studied regulator. Such poor biochemical specificity suggested that each regulator controls many genes, collectively contributing to biological phenotypes. Here, I propose a third model, whereby regulators' biological specificity is only partially due to 'lock and key' biochemistry. Rather, regulators affect many genes at the microscopic scale, but biological consequences for most interactions are attenuated at the mesoscopic scale: only a few regulatory events propagate from microscopic to macroscopic scale; others are made inconsequential by homeostatic mechanisms. This model is well supported by the microRNA literature, and data suggest that it extends to other regulators. It reconciles contradicting observations from biochemistry and comparative genomics on one hand and in vivo genetics on the other hand, but this conceptual unification is obscured by common misconceptions and counter-intuitive modes of graphical display. Profound understanding of gene regulation requires conceptual clarification, and better suited statistical analyses and graphical representation.

摘要

在过去的 20 年里,我们对基因调控特异性的认识发生了深刻的变化。以前,调控因子被认为只控制少数几个基因,通过“锁钥”机制精确识别。然而,最近对调控因子结合位点占据(无论是在 DNA 还是 RNA 靶标上)的全基因组探索揭示了每一个研究调控因子的大量分子靶标列表。这种较差的生化特异性表明,每个调控因子控制着许多基因,共同促成了生物学表型。在这里,我提出了第三个模型,即调控因子的生物学特异性部分归因于“锁钥”生化。相反,调控因子在微观尺度上影响许多基因,但大多数相互作用的生物学后果在介观尺度上被削弱:只有少数几个调控事件从微观尺度传播到宏观尺度;其他则通过体内平衡机制变得无关紧要。这个模型得到了 microRNA 文献的很好支持,并且数据表明它扩展到了其他调控因子。它调和了一方面来自生物化学和比较基因组学的矛盾观察,另一方面来自体内遗传学的矛盾观察,但这种概念上的统一被常见的误解和反直觉的图形显示方式所掩盖。对基因调控的深刻理解需要概念上的澄清,以及更合适的统计分析和图形表示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f42/11381331/b7b2fbd6dd4b/gkae694fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f42/11381331/9433c3c11d90/gkae694figgra1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f42/11381331/a62a23661f45/gkae694fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f42/11381331/381cc1f95055/gkae694fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f42/11381331/b7b2fbd6dd4b/gkae694fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f42/11381331/9433c3c11d90/gkae694figgra1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f42/11381331/a62a23661f45/gkae694fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f42/11381331/381cc1f95055/gkae694fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f42/11381331/b7b2fbd6dd4b/gkae694fig3.jpg

相似文献

1
A new perspective on microRNA-guided gene regulation specificity, and its potential generalization to transcription factors and RNA-binding proteins.一种新的 miRNA 指导基因调控特异性的观点,及其对转录因子和 RNA 结合蛋白的潜在普适性。
Nucleic Acids Res. 2024 Sep 9;52(16):9360-9368. doi: 10.1093/nar/gkae694.
2
Circuitry of mRNA regulation.mRNA 调控回路。
Wiley Interdiscip Rev Syst Biol Med. 2010 Mar-Apr;2(2):245-251. doi: 10.1002/wsbm.55.
3
Evolutionary Conservation and Diversification of Puf RNA Binding Proteins and Their mRNA Targets.Puf RNA结合蛋白及其mRNA靶标的进化保守性与多样性
PLoS Biol. 2015 Nov 20;13(11):e1002307. doi: 10.1371/journal.pbio.1002307. eCollection 2015.
4
Identification of direct targets of FUSCA3, a key regulator of Arabidopsis seed development.鉴定 FUSCA3 的直接靶标,FUSCA3 是拟南芥种子发育的关键调节因子。
Plant Physiol. 2013 Mar;161(3):1251-64. doi: 10.1104/pp.112.212282. Epub 2013 Jan 11.
5
The regulatory epicenter of miRNAs.miRNAs 的调控核心
J Biosci. 2011 Sep;36(4):621-38. doi: 10.1007/s12038-011-9109-y.
6
MicroRNA targets in immune genes and the Dicer/Argonaute and ARE machinery components.免疫基因中的微小RNA靶标以及Dicer/AGO2和富含AU元件机制的组成部分。
Mol Immunol. 2008 Apr;45(7):1995-2006. doi: 10.1016/j.molimm.2007.10.035. Epub 2007 Dec 3.
7
Architecture of a validated microRNA::target interaction.经过验证的微小RNA::靶标相互作用的结构
Chem Biol. 2004 Dec;11(12):1619-23. doi: 10.1016/j.chembiol.2004.09.010.
8
Functional interactions between microRNAs and RNA binding proteins.微小RNA与RNA结合蛋白之间的功能相互作用。
Microrna. 2012;1(1):70-9. doi: 10.2174/2211536611201010070.
9
Transcriptional and Post-transcriptional Gene Regulation by Long Non-coding RNA.长链非编码RNA介导的转录及转录后基因调控
Genomics Proteomics Bioinformatics. 2017 Jun;15(3):177-186. doi: 10.1016/j.gpb.2016.12.005. Epub 2017 May 19.
10
DIANA-mirExTra v2.0: Uncovering microRNAs and transcription factors with crucial roles in NGS expression data.DIANA-mirExTra v2.0:在NGS表达数据中揭示具有关键作用的微小RNA和转录因子。
Nucleic Acids Res. 2016 Jul 8;44(W1):W128-34. doi: 10.1093/nar/gkw455. Epub 2016 May 20.

引用本文的文献

1
Nuclear Argonaute:miRNA complexes recognize target sequences within chromatin-associated RNA and silence gene expression.细胞核内的AGO2:miRNA复合物识别染色质相关RNA中的靶序列并使基因表达沉默。
Nucleic Acids Res. 2025 Aug 27;53(16). doi: 10.1093/nar/gkaf800.
2
Programming anti-ribozymes to sense trigger RNAs for modulating gene expression in mammalian cells.设计抗核酶以识别触发RNA来调控哺乳动物细胞中的基因表达。
Synth Syst Biotechnol. 2025 Apr 8;10(3):827-834. doi: 10.1016/j.synbio.2025.03.011. eCollection 2025 Sep.
3
Integrated Analysis of microRNA Targets Reveals New Insights into Transcriptional-Post-Transcriptional Regulatory Cross-Talk.

本文引用的文献

1
Looking for a needle in a haystack: de novo phenotypic target identification reveals Hippo pathway-mediated miR-202 regulation of egg production.海底捞针:从头开始的表型靶标鉴定揭示 Hippo 通路介导的 miR-202 对卵子发生的调控。
Nucleic Acids Res. 2024 Jan 25;52(2):738-754. doi: 10.1093/nar/gkad1154.
2
A systematic benchmark of machine learning methods for protein-RNA interaction prediction.一种蛋白质- RNA 相互作用预测的机器学习方法的系统基准测试。
Brief Bioinform. 2023 Sep 20;24(5). doi: 10.1093/bib/bbad307.
3
"Crowd-control" by RNA: a pervasive theme in biology.
微小RNA靶标的综合分析揭示了转录-转录后调控相互作用的新见解。
Biology (Basel). 2025 Jan 8;14(1):43. doi: 10.3390/biology14010043.
4
It is Time to Revisit miRNA Therapeutics.是时候重新审视微小RNA疗法了。
Nucleic Acid Ther. 2025 Feb;35(1):1-5. doi: 10.1089/nat.2024.0069. Epub 2024 Nov 21.
RNA 的“群体控制”:生物学中的普遍主题。
RNA. 2023 Jul;29(7):885-888. doi: 10.1261/rna.079644.123. Epub 2023 Apr 13.
4
Reversing the miRNA -5p/-3p stoichiometry reveals physiological roles and targets of miR-140 miRNAs.逆转 miRNA-5p/-3p 比例可揭示 miR-140 miRNA 的生理作用和靶标。
RNA. 2022 Jun;28(6):854-864. doi: 10.1261/rna.079013.121. Epub 2022 Mar 24.
5
The kinetic landscape of an RNA-binding protein in cells.细胞中 RNA 结合蛋白的动力学景观。
Nature. 2021 Mar;591(7848):152-156. doi: 10.1038/s41586-021-03222-x. Epub 2021 Feb 10.
6
In vivo CRISPR screening for phenotypic targets of the family in .体内 CRISPR 筛选家族基因表型靶标。
Genes Dev. 2020 Sep 1;34(17-18):1227-1238. doi: 10.1101/gad.339333.120. Epub 2020 Aug 20.
7
A large-scale binding and functional map of human RNA-binding proteins.人类 RNA 结合蛋白的大规模结合和功能图谱。
Nature. 2020 Jul;583(7818):711-719. doi: 10.1038/s41586-020-2077-3. Epub 2020 Jul 29.
8
The evolutionarily conserved piRNA-producing locus pi6 is required for male mouse fertility.进化上保守的 piRNA 产生基因座 pi6 对于雄性小鼠的生育能力是必需的。
Nat Genet. 2020 Jul;52(7):728-739. doi: 10.1038/s41588-020-0657-7. Epub 2020 Jun 29.
9
miRNAs and Neural Alternative Polyadenylation Specify the Virgin Behavioral State.miRNAs 和神经可变多聚腺苷酸化决定处女行为状态。
Dev Cell. 2020 Aug 10;54(3):410-423.e4. doi: 10.1016/j.devcel.2020.06.004. Epub 2020 Jun 23.
10
Global Approaches in Studying RNA-Binding Protein Interaction Networks.研究RNA结合蛋白相互作用网络的全球方法。
Trends Biochem Sci. 2020 Jul;45(7):593-603. doi: 10.1016/j.tibs.2020.03.005. Epub 2020 Apr 2.