Literature DB >> 18058708

miRNApath: a database of miRNAs, target genes and metabolic pathways.

A O Chiromatzo1, T Y K Oliveira, G Pereira, A Y Costa, C A E Montesco, D E Gras, F Yosetake, J B Vilar, M Cervato, P R R Prado, R G C C L Cardenas, R Cerri, R L Borges, R N Lemos, S M Alvarenga, V R C Perallis, D G Pinheiro, I T Silva, R M Brandão, M A V Cunha, S Giuliatti, W A Silva.   

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs that regulate target gene expression and hence play important roles in metabolic pathways. Recent studies have evidenced the interrelation of miRNAs with cell proliferation, differentiation, development, and diseases. Since they are involved in gene regulation, they are intrinsically related to metabolic pathways. This leads to questions that are particularly interesting for investigating medical and laboratorial applications. We developed an miRNApath online database that uses miRNA target genes to link miRNAs to metabolic pathways. Currently, databases about miRNA target genes (DIANA miRGen), genomic maps (miRNAMap) and sequences (miRBase) do not provide such correlations. Additionally, miRNApath offers five search services and a download area. For each search, there is a specific type of input, which can be a list of target genes, miRNAs, or metabolic pathways, which results in different views, depending upon the input data, concerning relationships between the target genes, miRNAs and metabolic pathways. There are also internal links that lead to a deeper analysis and cross-links to other databases with more detailed information. miRNApath is being continually updated and is available at http://lgmb.fmrp.usp.br/mirnapath.

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Year:  2007        PMID: 18058708

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  17 in total

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Journal:  Blood       Date:  2011-10-26       Impact factor: 22.113

2.  ProteoMirExpress: inferring microRNA and protein-centered regulatory networks from high-throughput proteomic and mRNA expression data.

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Journal:  Mol Cell Proteomics       Date:  2013-08-07       Impact factor: 5.911

3.  miRDB: a microRNA target prediction and functional annotation database with a wiki interface.

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Journal:  RNA       Date:  2008-04-21       Impact factor: 4.942

4.  MAPK and JAK/STAT pathways targeted by miR-23a and miR-23b in prostate cancer: computational and in vitro approaches.

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Journal:  Tumour Biol       Date:  2015-01-22

5.  MicroRNA 320a functions as a novel endogenous modulator of aquaporins 1 and 4 as well as a potential therapeutic target in cerebral ischemia.

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6.  miRPathDB 2.0: a novel release of the miRNA Pathway Dictionary Database.

Authors:  Tim Kehl; Fabian Kern; Christina Backes; Tobias Fehlmann; Daniel Stöckel; Eckart Meese; Hans-Peter Lenhof; Andreas Keller
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

7.  MicroRNA and mRNA integrated analysis (MMIA): a web tool for examining biological functions of microRNA expression.

Authors:  Seungyoon Nam; Meng Li; Kwangmin Choi; Curtis Balch; Sun Kim; Kenneth P Nephew
Journal:  Nucleic Acids Res       Date:  2009-05-06       Impact factor: 16.971

8.  Knockdown of miR-572 suppresses cell proliferation and promotes apoptosis in renal cell carcinoma cells by targeting the NF2/Hippo signaling pathway.

Authors:  Yongjun Guan; Zhimin Gong; Tianlin Xiao; Zhaoyuan Li
Journal:  Int J Clin Exp Pathol       Date:  2018-12-01

Review 9.  Bioinformatics Accelerates the Major Tetrad: A Real Boost for the Pharmaceutical Industry.

Authors:  Tapan Behl; Ishnoor Kaur; Aayush Sehgal; Sukhbir Singh; Saurabh Bhatia; Ahmed Al-Harrasi; Gokhan Zengin; Elena Emilia Babes; Ciprian Brisc; Manuela Stoicescu; Mirela Marioara Toma; Cristian Sava; Simona Gabriela Bungau
Journal:  Int J Mol Sci       Date:  2021-06-08       Impact factor: 5.923

10.  MicroRNAs and cardiac sarcoplasmic reticulum calcium ATPase-2 in human myocardial infarction: expression and bioinformatic analysis.

Authors:  Emanuela Boštjančič; Nina Zidar; Damjan Glavač
Journal:  BMC Genomics       Date:  2012-10-15       Impact factor: 3.969

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