文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
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
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
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 @ 2025

通过MovingTargets(一种高度适应性的预测方法)对微小RNA靶标的预测与验证。

Prediction and verification of microRNA targets by MovingTargets, a highly adaptable prediction method.

作者信息

Burgler Craig, Macdonald Paul M

机构信息

Section of Molecular Cell and Developmental Biology, Institute for Cell and Molecular Biology, The University of Texas at Austin, 1 University Station A-4800, Austin, TX 78712-0159, USA.

出版信息

BMC Genomics. 2005 Jun 8;6:88. doi: 10.1186/1471-2164-6-88.


DOI:10.1186/1471-2164-6-88
PMID:15943864
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1180435/
Abstract

BACKGROUND: MicroRNAs (miRNAs) mediate a form of translational regulation in animals. Hundreds of animal miRNAs have been identified, but only a few of their targets are known. Prediction of miRNA targets for translational regulation is challenging, since the interaction with the target mRNA usually occurs via incomplete and interrupted base pairing. Moreover, the rules that govern such interactions are incompletely defined. RESULTS: MovingTargets is a software program that allows a researcher to predict a set of miRNA targets that satisfy an adjustable set of biological constraints. We used MovingTargets to identify a high-likelihood set of 83 miRNA targets in Drosophila, all of which adhere to strict biological constraints. We tested and verified 3 of these predictions in cultured cells, including a target for the Drosophila let-7 homolog. In addition, we utilized the flexibility of MovingTargets by relaxing the biological constraints to identify and validate miRNAs targeting tramtrack, a gene also known to be subject to translational control dependent on the RNA binding protein Musashi. CONCLUSION: MovingTargets is a flexible tool for the accurate prediction of miRNA targets in Drosophila. MovingTargets can be used to conduct a genome-wide search of miRNA targets using all Drosophila miRNAs and potential targets, or it can be used to conduct a focused search for miRNAs targeting a specific gene. In addition, the values for a set of biological constraints used to define a miRNA target are adjustable, allowing the software to incorporate the rules used to characterize a miRNA target as these rules are experimentally determined and interpreted.

摘要

背景:微小RNA(miRNA)介导动物体内一种形式的翻译调控。数百种动物miRNA已被鉴定出来,但仅知晓其中少数的靶标。由于与靶标mRNA的相互作用通常通过不完全且间断的碱基配对发生,因此预测用于翻译调控的miRNA靶标具有挑战性。此外,支配此类相互作用的规则尚未完全明确。 结果:MovingTargets是一款软件程序,它能让研究人员预测一组满足可调整生物约束条件的miRNA靶标。我们使用MovingTargets在果蝇中鉴定出一组83个高可能性的miRNA靶标,所有这些靶标均符合严格的生物约束条件。我们在培养细胞中测试并验证了其中3个预测结果,包括果蝇let-7同源物的一个靶标。此外,我们通过放宽生物约束条件利用MovingTargets的灵活性,以鉴定和验证靶向tramtrack的miRNA,tramtrack是一个已知也受依赖于RNA结合蛋白Musashi的翻译控制的基因。 结论:MovingTargets是用于准确预测果蝇中miRNA靶标的灵活工具。MovingTargets可用于使用所有果蝇miRNA和潜在靶标进行全基因组范围内的miRNA靶标搜索,或者可用于针对靶向特定基因的miRNA进行重点搜索。此外,用于定义miRNA靶标的一组生物约束条件的值是可调整的,这使得该软件能够纳入用于表征miRNA靶标的规则,因为这些规则是通过实验确定和解释的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e6e/1180435/2f0ffebf7733/1471-2164-6-88-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e6e/1180435/2ee08143cbb0/1471-2164-6-88-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e6e/1180435/2f0ffebf7733/1471-2164-6-88-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e6e/1180435/2ee08143cbb0/1471-2164-6-88-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e6e/1180435/2f0ffebf7733/1471-2164-6-88-2.jpg

相似文献

[1]
Prediction and verification of microRNA targets by MovingTargets, a highly adaptable prediction method.

BMC Genomics. 2005-6-8

[2]
Identification of Drosophila MicroRNA targets.

PLoS Biol. 2003-12

[3]
MicroRNA targets in Drosophila.

Genome Biol. 2003

[4]
Prediction of human microRNA targets.

Methods Mol Biol. 2006

[5]
Analysis of microRNA-target interactions by a target structure based hybridization model.

Pac Symp Biocomput. 2008

[6]
MicroRNA target finding by comparative genomics.

Methods Mol Biol. 2014

[7]
A genome-wide map of conserved microRNA targets in C. elegans.

Curr Biol. 2006-3-7

[8]
Fast and effective prediction of microRNA/target duplexes.

RNA. 2004-10

[9]
Progress in miRNA target prediction and identification.

Sci China C Life Sci. 2009-12

[10]
Identifications of conserved 7-mers in 3'-UTRs and microRNAs in Drosophila.

BMC Bioinformatics. 2007-11-8

引用本文的文献

[1]
Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancer.

Comput Struct Biotechnol J. 2024-7-18

[2]
Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancer.

bioRxiv. 2024-4-20

[3]
GraphTar: applying word2vec and graph neural networks to miRNA target prediction.

BMC Bioinformatics. 2023-11-17

[4]
Prediction methods for microRNA targets in bilaterian animals: Toward a better understanding by biologists.

Comput Struct Biotechnol J. 2021-10-18

[5]
Soma influences GSC progeny differentiation via the cell adhesion-mediated steroid-let-7-Wingless signaling cascade that regulates chromatin dynamics.

Biol Open. 2015-2-6

[6]
Continuing analysis of microRNA origins: Formation from transposable element insertions and noncoding RNA mutations.

Mob Genet Elements. 2013-11-1

[7]
A Bayesian decision fusion approach for microRNA target prediction.

BMC Genomics. 2012-12-17

[8]
Steroid-induced microRNA let-7 acts as a spatio-temporal code for neuronal cell fate in the developing Drosophila brain.

EMBO J. 2012-11-16

[9]
Molecular dynamics simulations of Ago silencing complexes reveal a large repertoire of admissible 'seed-less' targets.

Sci Rep. 2012-8-10

[10]
Small temporal RNAs in animal development.

Curr Opin Genet Dev. 2012-5-9

本文引用的文献

[1]
DINAMelt web server for nucleic acid melting prediction.

Nucleic Acids Res. 2005-7-1

[2]
Human MicroRNA targets.

PLoS Biol. 2004-11

[3]
A population-based statistical approach identifies parameters characteristic of human microRNA-mRNA interactions.

BMC Bioinformatics. 2004-9-28

[4]
Fast and effective prediction of microRNA/target duplexes.

RNA. 2004-10

[5]
Kinetic analysis of the RNAi enzyme complex.

Nat Struct Mol Biol. 2004-7

[6]
A combined computational-experimental approach predicts human microRNA targets.

Genes Dev. 2004-5-15

[7]
MicroRNA-directed cleavage of HOXB8 mRNA.

Science. 2004-4-23

[8]
Specificity of microRNA target selection in translational repression.

Genes Dev. 2004-3-1

[9]
Computational identification of microRNA targets.

Dev Biol. 2004-3-15

[10]
MicroRNAs: genomics, biogenesis, mechanism, and function.

Cell. 2004-1-23

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

推荐工具

医学文档翻译智能文献检索