Literature DB >> 33903708

The microRNA analysis portal is a next-generation tool for exploring and analyzing miRNA-focused data in the literature.

Stefano Pirrò1, Ivana Matic2,3, Vittorio Colizzi2,3, Andrea Galgani2,4.   

Abstract

MicroRNAs constitute a class of noncoding small RNAs involved in the posttranscriptional regulation of many biological pathways. In recent years, microRNAs have also been associated with regulation across kingdoms, demonstrating that exogenous miRNAs can function in mammals in a fashion similar to mammalian miRNAs. The growing interest in microRNAs and the increasing amount of literature and molecular and biomedical data available make it difficult to identify records of interest and keep up to date with novel findings. For these reasons, we developed the microRNA Analysis Portal (MAP). MAP selects relevant miRNA-focused articles from PubMed, links biomedical and molecular data and applies bioinformatics modules. At the time of this writing, MAP represents the richest, most complete and integrated database focused on microRNAs. MAP also integrates an updated version of MirCompare (2.0), a computational platform used for selecting plant microRNAs on the basis of their ability to regulate mammalian genes. Both MAP and MirCompare functionalities were used to predict that microRNAs from Moringa oleifera have putative roles across kingdoms by regulating human genes coding for proteins of the immune system. Starting from a selection of 94 human microRNAs, MirCompare selected 6 Moringa oleifera functional homologs. The subsequent prediction of human targets and areas of functional enrichment highlighted the central involvement of these genes in regulating immune system processes, particularly the host-virus interaction processes in hepatitis B, cytomegalovirus, papillomavirus and coronavirus. This case of use showed how MAP can help to perform complex queries without any computational background. MAP is available at http://stablab.uniroma2.it/MAP .

Entities:  

Year:  2021        PMID: 33903708     DOI: 10.1038/s41598-021-88617-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  67 in total

1.  GO::TermFinder--open source software for accessing Gene Ontology information and finding significantly enriched Gene Ontology terms associated with a list of genes.

Authors:  Elizabeth I Boyle; Shuai Weng; Jeremy Gollub; Heng Jin; David Botstein; J Michael Cherry; Gavin Sherlock
Journal:  Bioinformatics       Date:  2004-08-05       Impact factor: 6.937

2.  Smoking recidivism among an age cohort of men in Zutphen (The Netherlands): 1960-1985.

Authors:  J Van Reek; H Adriaanse; L Ramstrøm; D Kromhout
Journal:  Rev Epidemiol Sante Publique       Date:  1991       Impact factor: 1.019

3.  mentha: a resource for browsing integrated protein-interaction networks.

Authors:  Alberto Calderone; Luisa Castagnoli; Gianni Cesareni
Journal:  Nat Methods       Date:  2013-08       Impact factor: 28.547

Review 4.  Fibroblasts in cancer.

Authors:  Raghu Kalluri; Michael Zeisberg
Journal:  Nat Rev Cancer       Date:  2006-05       Impact factor: 60.716

5.  Protein interaction data curation: the International Molecular Exchange (IMEx) consortium.

Authors:  Sandra Orchard; Samuel Kerrien; Sara Abbani; Bruno Aranda; Jignesh Bhate; Shelby Bidwell; Alan Bridge; Leonardo Briganti; Fiona S L Brinkman; Fiona Brinkman; Gianni Cesareni; Andrew Chatr-aryamontri; Emilie Chautard; Carol Chen; Marine Dumousseau; Johannes Goll; Robert E W Hancock; Robert Hancock; Linda I Hannick; Igor Jurisica; Jyoti Khadake; David J Lynn; Usha Mahadevan; Livia Perfetto; Arathi Raghunath; Sylvie Ricard-Blum; Bernd Roechert; Lukasz Salwinski; Volker Stümpflen; Mike Tyers; Peter Uetz; Ioannis Xenarios; Henning Hermjakob
Journal:  Nat Methods       Date:  2012-04       Impact factor: 28.547

6.  Most mammalian mRNAs are conserved targets of microRNAs.

Authors:  Robin C Friedman; Kyle Kai-How Farh; Christopher B Burge; David P Bartel
Journal:  Genome Res       Date:  2008-10-27       Impact factor: 9.043

7.  Bioinformatics Prediction and Experimental Validation of MicroRNAs Involved in Cross-Kingdom Interaction.

Authors:  Stefano Pirrò; Antonella Minutolo; Andrea Galgani; Marina Potestà; Vittorio Colizzi; Carla Montesano
Journal:  J Comput Biol       Date:  2016-07-18       Impact factor: 1.479

8.  Web of Science use in published research and review papers 1997-2017: a selective, dynamic, cross-domain, content-based analysis.

Authors:  Kai Li; Jason Rollins; Erjia Yan
Journal:  Scientometrics       Date:  2017-12-18       Impact factor: 3.238

9.  miRBase: from microRNA sequences to function.

Authors:  Ana Kozomara; Maria Birgaoanu; Sam Griffiths-Jones
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

10.  SMAC, a computational system to link literature, biomedical and expression data.

Authors:  Stefano Pirrò; Emanuela Gadaleta; Andrea Galgani; Vittorio Colizzi; Claude Chelala
Journal:  Sci Rep       Date:  2019-07-19       Impact factor: 4.379

View more
  1 in total

1.  Small RNA sequencing and identification of papaya (Carica papaya L.) miRNAs with potential cross-kingdom human gene targets.

Authors:  Neha Jha; Naman Mangukia; Harshida Gadhavi; Maulik Patel; Mansi Bhavsar; Rakesh Rawal; Saumya Patel
Journal:  Mol Genet Genomics       Date:  2022-05-16       Impact factor: 2.980

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.