• 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

用于鉴定miRNA基因及其靶标的当前工具。

Current tools for the identification of miRNA genes and their targets.

作者信息

Mendes N D, Freitas A T, Sagot M-F

机构信息

Equipe BAOBAB, Laboratoire de Biométrie et Biologie Evolutive (UMR 5558), CNRS, Univ. Lyon 1, 43 bd du 11 nov 1918, 69622, Villeurbanne Cedex, France.

出版信息

Nucleic Acids Res. 2009 May;37(8):2419-33. doi: 10.1093/nar/gkp145. Epub 2009 Mar 18.

DOI:10.1093/nar/gkp145
PMID:19295136
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2677885/
Abstract

The discovery of microRNAs (miRNAs), almost 10 years ago, changed dramatically our perspective on eukaryotic gene expression regulation. However, the broad and important functions of these regulators are only now becoming apparent. The expansion of our catalogue of miRNA genes and the identification of the genes they regulate owe much to the development of sophisticated computational tools that have helped either to focus or interpret experimental assays. In this article, we review the methods for miRNA gene finding and target identification that have been proposed in the last few years. We identify some problems that current approaches have not yet been able to overcome and we offer some perspectives on the next generation of computational methods.

摘要

大约10年前,微小RNA(miRNA)的发现极大地改变了我们对真核基因表达调控的看法。然而,这些调控因子广泛而重要的功能直到现在才逐渐显现出来。我们miRNA基因目录的扩充以及它们所调控基因的鉴定在很大程度上得益于先进计算工具的发展,这些工具有助于聚焦或解释实验分析。在本文中,我们回顾了过去几年中提出的miRNA基因发现和靶标鉴定方法。我们指出了当前方法尚未能克服的一些问题,并对下一代计算方法提供了一些观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b27/2677885/b71ba5c52147/gkp145f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b27/2677885/b71ba5c52147/gkp145f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b27/2677885/b71ba5c52147/gkp145f1.jpg

相似文献

1
Current tools for the identification of miRNA genes and their targets.用于鉴定miRNA基因及其靶标的当前工具。
Nucleic Acids Res. 2009 May;37(8):2419-33. doi: 10.1093/nar/gkp145. Epub 2009 Mar 18.
2
A study of miRNAs targets prediction and experimental validation.miRNAs 靶基因预测与实验验证研究
Protein Cell. 2010 Nov;1(11):979-86. doi: 10.1007/s13238-010-0129-4. Epub 2010 Dec 10.
3
Finding microRNA targets in plants: current status and perspectives.在植物中寻找 microRNA 靶标:现状与展望。
Genomics Proteomics Bioinformatics. 2012 Oct;10(5):264-75. doi: 10.1016/j.gpb.2012.09.003. Epub 2012 Oct 23.
4
Progress in miRNA target prediction and identification.微小RNA靶标预测与鉴定的进展。
Sci China C Life Sci. 2009 Dec;52(12):1123-30. doi: 10.1007/s11427-009-0159-4. Epub 2009 Dec 17.
5
Prediction of human microRNA targets.人类微小RNA靶标的预测
Methods Mol Biol. 2006;342:101-13. doi: 10.1385/1-59745-123-1:101.
6
Macros in microRNA target identification: a comparative analysis of in silico, in vitro, and in vivo approaches to microRNA target identification.微小RNA靶标识别中的宏分析:对微小RNA靶标识别的计算机模拟、体外和体内方法的比较分析
RNA Biol. 2014;11(4):324-33. doi: 10.4161/rna.28649. Epub 2014 Apr 2.
7
Identifying miRNA Targets Using AGO-RIPseq.使用AGO-RIPseq鉴定微小RNA靶标
Methods Mol Biol. 2018;1720:131-140. doi: 10.1007/978-1-4939-7540-2_9.
8
Recent Development of Bioinformatics Tools for microRNA Target Prediction.近年来 miRNA 靶基因预测的生物信息学工具的发展。
Curr Med Chem. 2022;29(5):865-880. doi: 10.2174/0929867328666210804090224.
9
Computational Approaches and Related Tools to Identify MicroRNAs in a Species: A Bird's Eye View.计算方法及相关工具在物种中识别 microRNA:鸟瞰图。
Interdiscip Sci. 2018 Sep;10(3):616-635. doi: 10.1007/s12539-017-0223-x. Epub 2017 Mar 30.
10
MicroRNAs and complex diseases: from experimental results to computational models.微小 RNA 与复杂疾病:从实验结果到计算模型。
Brief Bioinform. 2019 Mar 22;20(2):515-539. doi: 10.1093/bib/bbx130.

引用本文的文献

1
pmiRScan: a LightGBM based method for prediction of animal pre-miRNAs.pmiRScan:一种基于LightGBM的动物前体微小RNA预测方法。
Funct Integr Genomics. 2025 Jan 9;25(1):9. doi: 10.1007/s10142-025-01527-y.
2
Prediction of miRNAs and diseases association based on sparse autoencoder and MLP.基于稀疏自编码器和多层感知器的微小RNA与疾病关联预测
Front Genet. 2024 May 30;15:1369811. doi: 10.3389/fgene.2024.1369811. eCollection 2024.
3
Plant-Derived Exosomes as Novel Nanotherapeutics Contrive Glycolysis Reprogramming-Mediated Angiogenesis for Diabetic Ulcer Healing.

本文引用的文献

1
mirWIP: microRNA target prediction based on microRNA-containing ribonucleoprotein-enriched transcripts.mirWIP:基于富含含微小RNA的核糖核蛋白转录本的微小RNA靶标预测
Nat Methods. 2008 Sep;5(9):813-9. doi: 10.1038/nmeth.1247.
2
Structure of the guide-strand-containing argonaute silencing complex.含引导链的AGO沉默复合体的结构
Nature. 2008 Nov 13;456(7219):209-13. doi: 10.1038/nature07315. Epub 2008 Aug 27.
3
Inferring microRNA activities by combining gene expression with microRNA target prediction.通过整合基因表达与微小RNA靶标预测来推断微小RNA活性
植物源外泌体作为新型纳米疗法促进糖酵解重编程介导的血管生成以促进糖尿病溃疡愈合。
Biomater Res. 2024 Jun 5;28:0035. doi: 10.34133/bmr.0035. eCollection 2024.
4
Research progress and perspectives of noncoding RNAs in adrenocortical carcinoma: A review.肾上腺皮质癌中非编码RNA的研究进展与展望:综述
Medicine (Baltimore). 2024 Jan 26;103(4):e36908. doi: 10.1097/MD.0000000000036908.
5
BAP31-Mediated miR-206/133b Cluster Promotes Transendothelial Migration and Metastasis of Colorectal Cancer.BAP31 介导的 miR-206/133b 簇促进结直肠癌的血管内皮细胞迁移和转移。
Int J Mol Sci. 2023 Nov 25;24(23):16740. doi: 10.3390/ijms242316740.
6
RNAinsecta: A tool for prediction of precursor microRNA in insects and search for their target in the model organism Drosophila melanogaster.RNAinsecta:一种用于预测昆虫前体 microRNA 的工具,并在模式生物黑腹果蝇中搜索其靶标。
PLoS One. 2023 Oct 9;18(10):e0287323. doi: 10.1371/journal.pone.0287323. eCollection 2023.
7
MicroRNAs in Ruminants and Their Potential Role in Nutrition and Physiology.反刍动物中的微小RNA及其在营养与生理学中的潜在作用。
Vet Sci. 2023 Jan 14;10(1):57. doi: 10.3390/vetsci10010057.
8
Turning Data to Knowledge: Online Tools, Databases, and Resources in microRNA Research.将数据转化为知识:microRNA 研究中的在线工具、数据库和资源。
Adv Exp Med Biol. 2022;1385:133-160. doi: 10.1007/978-3-031-08356-3_5.
9
A rationally identified panel of microRNAs targets multiple oncogenic pathways to enhance chemotherapeutic effects in glioblastoma models.一组经过合理鉴定的 microRNAs 靶点可靶向多个致癌途径,从而增强胶质母细胞瘤模型中的化疗效果。
Sci Rep. 2022 Jul 14;12(1):12017. doi: 10.1038/s41598-022-16219-x.
10
Impact of / Clustered miRNAs: Facilitates Malignant Phenotypes in Head and Neck Squamous Cell Carcinoma./ 簇状微小RNA的影响:促进头颈部鳞状细胞癌的恶性表型
Biomedicines. 2022 Mar 12;10(3):663. doi: 10.3390/biomedicines10030663.
PLoS One. 2008 Apr 23;3(4):e1989. doi: 10.1371/journal.pone.0001989.
4
Discovering microRNAs from deep sequencing data using miRDeep.使用miRDeep从深度测序数据中发现微小RNA。
Nat Biotechnol. 2008 Apr;26(4):407-15. doi: 10.1038/nbt1394.
5
Identification of novel and candidate miRNAs in rice by high throughput sequencing.通过高通量测序鉴定水稻中的新型和候选微小RNA
BMC Plant Biol. 2008 Feb 29;8:25. doi: 10.1186/1471-2229-8-25.
6
Comparing sequence and expression for predicting microRNA targets using GenMiR3.使用GenMiR3比较序列和表达以预测微小RNA靶标
Pac Symp Biocomput. 2008:52-63. doi: 10.1142/9789812776136_0007.
7
MicroRNA-373 induces expression of genes with complementary promoter sequences.微小RNA-373诱导具有互补启动子序列的基因表达。
Proc Natl Acad Sci U S A. 2008 Feb 5;105(5):1608-13. doi: 10.1073/pnas.0707594105. Epub 2008 Jan 28.
8
Ab initio identification of human microRNAs based on structure motifs.基于结构基序从头鉴定人类微小RNA
BMC Bioinformatics. 2007 Dec 18;8:478. doi: 10.1186/1471-2105-8-478.
9
Switching from repression to activation: microRNAs can up-regulate translation.从抑制到激活的转变:微小RNA可上调翻译。
Science. 2007 Dec 21;318(5858):1931-4. doi: 10.1126/science.1149460. Epub 2007 Nov 29.
10
Prediction of both conserved and nonconserved microRNA targets in animals.动物中保守和非保守微小RNA靶标的预测。
Bioinformatics. 2008 Feb 1;24(3):325-32. doi: 10.1093/bioinformatics/btm595. Epub 2007 Nov 29.