Suppr超能文献

MirZ:一个整合的微小RNA表达图谱及靶标预测资源库。

MirZ: an integrated microRNA expression atlas and target prediction resource.

作者信息

Hausser Jean, Berninger Philipp, Rodak Christoph, Jantscher Yvonne, Wirth Stefan, Zavolan Mihaela

机构信息

Biozentrum, Universität Basel and Swiss Institute of Bioinformatics, Klingelbergstrasse 50-70, 4056 Basel, Switzerland.

出版信息

Nucleic Acids Res. 2009 Jul;37(Web Server issue):W266-72. doi: 10.1093/nar/gkp412. Epub 2009 May 25.

Abstract

MicroRNAs (miRNAs) are short RNAs that act as guides for the degradation and translational repression of protein-coding mRNAs. A large body of work showed that miRNAs are involved in the regulation of a broad range of biological functions, from development to cardiac and immune system function, to metabolism, to cancer. For most of the over 500 miRNAs that are encoded in the human genome the functions still remain to be uncovered. Identifying miRNAs whose expression changes between cell types or between normal and pathological conditions is an important step towards characterizing their function as is the prediction of mRNAs that could be targeted by these miRNAs. To provide the community the possibility of exploring interactively miRNA expression patterns and the candidate targets of miRNAs in an integrated environment, we developed the MirZ web server, which is accessible at www.mirz.unibas.ch. The server provides experimental and computational biologists with statistical analysis and data mining tools operating on up-to-date databases of sequencing-based miRNA expression profiles and of predicted miRNA target sites in species ranging from Caenorhabditis elegans to Homo sapiens.

摘要

微小RNA(miRNA)是一类短RNA,可作为蛋白质编码mRNA降解和翻译抑制的引导分子。大量研究表明,miRNA参与调控广泛的生物学功能,从发育到心脏和免疫系统功能,再到新陈代谢以及癌症。人类基因组中编码的500多种miRNA,大多数的功能仍有待揭示。鉴定那些在细胞类型之间或正常与病理条件之间表达发生变化的miRNA,以及预测可能被这些miRNA靶向的mRNA,是表征其功能的重要步骤。为了让科研群体能够在一个集成环境中交互式地探索miRNA表达模式及其候选靶标,我们开发了MirZ网络服务器,可通过www.mirz.unibas.ch访问。该服务器为实验生物学家和计算生物学家提供了统计分析和数据挖掘工具,这些工具可作用于基于测序的miRNA表达谱以及从秀丽隐杆线虫到智人的物种中预测的miRNA靶位点的最新数据库。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfa0/2703880/c43227b29d2b/gkp412f1.jpg

相似文献

1
MirZ: an integrated microRNA expression atlas and target prediction resource.
Nucleic Acids Res. 2009 Jul;37(Web Server issue):W266-72. doi: 10.1093/nar/gkp412. Epub 2009 May 25.
2
DIANA-microT web server v5.0: service integration into miRNA functional analysis workflows.
Nucleic Acids Res. 2013 Jul;41(Web Server issue):W169-73. doi: 10.1093/nar/gkt393. Epub 2013 May 16.
3
DIANA-microT web server: elucidating microRNA functions through target prediction.
Nucleic Acids Res. 2009 Jul;37(Web Server issue):W273-6. doi: 10.1093/nar/gkp292. Epub 2009 Apr 30.
4
MicroRNA and mRNA integrated analysis (MMIA): a web tool for examining biological functions of microRNA expression.
Nucleic Acids Res. 2009 Jul;37(Web Server issue):W356-62. doi: 10.1093/nar/gkp294. Epub 2009 May 6.
6
miRecords: an integrated resource for microRNA-target interactions.
Nucleic Acids Res. 2009 Jan;37(Database issue):D105-10. doi: 10.1093/nar/gkn851. Epub 2008 Nov 7.
7
STarMir Tools for Prediction of microRNA Binding Sites.
Methods Mol Biol. 2016;1490:73-82. doi: 10.1007/978-1-4939-6433-8_6.
8
The microRNA body map: dissecting microRNA function through integrative genomics.
Nucleic Acids Res. 2011 Nov 1;39(20):e136. doi: 10.1093/nar/gkr646. Epub 2011 Aug 10.
9
Interactive exploration of RNA22 microRNA target predictions.
Bioinformatics. 2012 Dec 15;28(24):3322-3. doi: 10.1093/bioinformatics/bts615. Epub 2012 Oct 16.
10
miRGator: an integrated system for functional annotation of microRNAs.
Nucleic Acids Res. 2008 Jan;36(Database issue):D159-64. doi: 10.1093/nar/gkm829. Epub 2007 Oct 16.

引用本文的文献

1
Absolute quantification of mammalian microRNAs for therapeutic RNA cleavage and detargeting.
RNA. 2025 Jul 16;31(8):1081-1090. doi: 10.1261/rna.080566.125.
2
Non-coding RNAs in human health and disease: potential function as biomarkers and therapeutic targets.
Funct Integr Genomics. 2023 Jan 10;23(1):33. doi: 10.1007/s10142-022-00947-4.
4
A miRNA Host Response Signature Accurately Discriminates Acute Respiratory Infection Etiologies.
Front Microbiol. 2018 Dec 11;9:2957. doi: 10.3389/fmicb.2018.02957. eCollection 2018.
5
Gene-microRNA network module analysis for ovarian cancer.
BMC Syst Biol. 2016 Dec 23;10(Suppl 4):117. doi: 10.1186/s12918-016-0357-1.
6
Candidate gene prioritization with Endeavour.
Nucleic Acids Res. 2016 Jul 8;44(W1):W117-21. doi: 10.1093/nar/gkw365. Epub 2016 Apr 30.
7
ImiRP: a computational approach to microRNA target site mutation.
BMC Bioinformatics. 2016 Apr 27;17:190. doi: 10.1186/s12859-016-1057-y.
8
Experimental procedures to identify and validate specific mRNA targets of miRNAs.
EXCLI J. 2015 Jul 2;14:758-90. doi: 10.17179/excli2015-319. eCollection 2015.
9
miR-20a regulates expression of the iron exporter ferroportin in lung cancer.
J Mol Med (Berl). 2016 Mar;94(3):347-59. doi: 10.1007/s00109-015-1362-3. Epub 2015 Nov 12.
10
β-Cell MicroRNAs: Small but Powerful.
Diabetes. 2015 Nov;64(11):3631-44. doi: 10.2337/db15-0831.

本文引用的文献

1
The genome sequence of taurine cattle: a window to ruminant biology and evolution.
Science. 2009 Apr 24;324(5926):522-8. doi: 10.1126/science.1169588.
2
MicroRNA target prediction by expression analysis of host genes.
Genome Res. 2009 Mar;19(3):481-90. doi: 10.1101/gr.084129.108. Epub 2008 Dec 16.
4
Most mammalian mRNAs are conserved targets of microRNAs.
Genome Res. 2009 Jan;19(1):92-105. doi: 10.1101/gr.082701.108. Epub 2008 Oct 27.
5
The impact of target site accessibility on the design of effective siRNAs.
Nat Biotechnol. 2008 May;26(5):578-83. doi: 10.1038/nbt1404. Epub 2008 Apr 27.
6
Computational analysis of small RNA cloning data.
Methods. 2008 Jan;44(1):13-21. doi: 10.1016/j.ymeth.2007.10.002.
7
The UCSC Genome Browser Database: 2008 update.
Nucleic Acids Res. 2008 Jan;36(Database issue):D773-9. doi: 10.1093/nar/gkm966. Epub 2007 Dec 17.
8
Using expression profiling data to identify human microRNA targets.
Nat Methods. 2007 Dec;4(12):1045-9. doi: 10.1038/nmeth1130. Epub 2007 Nov 18.
9
Evolution of genes and genomes on the Drosophila phylogeny.
Nature. 2007 Nov 8;450(7167):203-18. doi: 10.1038/nature06341.
10
MiR-150 controls B cell differentiation by targeting the transcription factor c-Myb.
Cell. 2007 Oct 5;131(1):146-59. doi: 10.1016/j.cell.2007.07.021.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验