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PACCMIT/PACCMIT-CDS:识别3'非翻译区和编码序列中的微小RNA靶标

PACCMIT/PACCMIT-CDS: identifying microRNA targets in 3' UTRs and coding sequences.

作者信息

Šulc Miroslav, Marín Ray M, Robins Harlan S, Vaníček Jiří

机构信息

Laboratory of Theoretical Physical Chemistry, Institut des Sciences et Ingénierie Chimiques, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.

Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.

出版信息

Nucleic Acids Res. 2015 Jul 1;43(W1):W474-9. doi: 10.1093/nar/gkv457. Epub 2015 May 6.

DOI:10.1093/nar/gkv457
PMID:25948580
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4489287/
Abstract

The purpose of the proposed web server, publicly available at http://paccmit.epfl.ch, is to provide a user-friendly interface to two algorithms for predicting messenger RNA (mRNA) molecules regulated by microRNAs: (i) PACCMIT (Prediction of ACcessible and/or Conserved MIcroRNA Targets), which identifies primarily mRNA transcripts targeted in their 3' untranslated regions (3' UTRs), and (ii) PACCMIT-CDS, designed to find mRNAs targeted within their coding sequences (CDSs). While PACCMIT belongs among the accurate algorithms for predicting conserved microRNA targets in the 3' UTRs, the main contribution of the web server is 2-fold: PACCMIT provides an accurate tool for predicting targets also of weakly conserved or non-conserved microRNAs, whereas PACCMIT-CDS addresses the lack of similar portals adapted specifically for targets in CDS. The web server asks the user for microRNAs and mRNAs to be analyzed, accesses the precomputed P-values for all microRNA-mRNA pairs from a database for all mRNAs and microRNAs in a given species, ranks the predicted microRNA-mRNA pairs, evaluates their significance according to the false discovery rate and finally displays the predictions in a tabular form. The results are also available for download in several standard formats.

摘要

拟议中的网络服务器(网址为http://paccmit.epfl.ch,可公开访问)的目的是为两种预测受微小RNA调控的信使核糖核酸(mRNA)分子的算法提供一个用户友好的界面:(i)PACCMIT(可及和/或保守微小RNA靶标的预测),它主要识别在其3'非翻译区(3'UTR)有靶向作用的mRNA转录本;(ii)PACCMIT-CDS,旨在寻找在其编码序列(CDS)中有靶向作用的mRNA。虽然PACCMIT属于预测3'UTR中保守微小RNA靶标的精确算法,但该网络服务器的主要贡献有两方面:PACCMIT为预测弱保守或非保守微小RNA的靶标也提供了一个精确工具,而PACCMIT-CDS则解决了缺乏专门适用于CDS中靶标的类似平台的问题。该网络服务器要求用户输入待分析的微小RNA和mRNA,从一个针对给定物种中所有mRNA和微小RNA的数据库中获取所有微小RNA-mRNA对的预先计算的P值,对预测的微小RNA-mRNA对进行排序,根据错误发现率评估其显著性,最后以表格形式显示预测结果。结果还可以几种标准格式下载。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06bd/4489287/c1b838a1f8fd/gkv457fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06bd/4489287/676288af9f93/gkv457fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06bd/4489287/c1b838a1f8fd/gkv457fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06bd/4489287/676288af9f93/gkv457fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06bd/4489287/c1b838a1f8fd/gkv457fig2.jpg

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1
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J Virol. 2014 May;88(10):5524-32. doi: 10.1128/JVI.00481-14. Epub 2014 Mar 5.
2
Searching the coding region for microRNA targets.搜索 miRNA 靶标编码区。
RNA. 2013 Apr;19(4):467-74. doi: 10.1261/rna.035634.112. Epub 2013 Feb 12.
3
Prediction of altered 3'- UTR miRNA-binding sites from RNA-Seq data: the swine leukocyte antigen complex (SLA) as a model region.
Blood Adv. 2022 Sep 27;6(18):5364-5378. doi: 10.1182/bloodadvances.2022007065.
4
Synonymous Variants: Necessary Nuance in Our Understanding of Cancer Drivers and Treatment Outcomes.同义变体:在理解癌症驱动因素和治疗结果时需要注意的细微差别。
J Natl Cancer Inst. 2022 Aug 8;114(8):1072-1094. doi: 10.1093/jnci/djac090.
5
Piperlongumine inhibits the growth of non-small cell lung cancer cells via the miR-34b-3p/TGFBR1 pathway.千里光碱通过 miR-34b-3p/TGFBR1 通路抑制非小细胞肺癌细胞的生长。
BMC Complement Med Ther. 2021 Jan 7;21(1):15. doi: 10.1186/s12906-020-03123-y.
6
miRNA Targets: From Prediction Tools to Experimental Validation.微小RNA靶点:从预测工具到实验验证
Methods Protoc. 2020 Dec 24;4(1):1. doi: 10.3390/mps4010001.
7
Robust partitioning of microRNA targets from downstream regulatory changes.从下游调控变化中稳健地划分 microRNA 靶标。
Nucleic Acids Res. 2020 Sep 25;48(17):9724-9746. doi: 10.1093/nar/gkaa687.
8
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Sci Rep. 2020 Jan 30;10(1):1466. doi: 10.1038/s41598-020-58336-5.
9
miRAW: A deep learning-based approach to predict microRNA targets by analyzing whole microRNA transcripts.miRAW:一种基于深度学习的方法,通过分析完整的 microRNA 转录本来预测 microRNA 靶标。
PLoS Comput Biol. 2018 Jul 13;14(7):e1006185. doi: 10.1371/journal.pcbi.1006185. eCollection 2018 Jul.
10
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Oncol Lett. 2018 Apr;15(4):4390-4396. doi: 10.3892/ol.2018.7900. Epub 2018 Jan 29.
从 RNA-Seq 数据预测改变的 3'-UTR miRNA 结合位点:以猪白细胞抗原复合体(SLA)作为模型区域。
PLoS One. 2012;7(11):e48607. doi: 10.1371/journal.pone.0048607. Epub 2012 Nov 6.
4
Analysis of the accessibility of CLIP bound sites reveals that nucleation of the miRNA:mRNA pairing occurs preferentially at the 3'-end of the seed match.分析 CLIP 结合位点的可及性表明,miRNA:mRNA 配对的成核优先发生在种子匹配的 3'端。
RNA. 2012 Oct;18(10):1760-70. doi: 10.1261/rna.033282.112. Epub 2012 Aug 22.
5
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6
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7
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10
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