Literature DB >> 28388300

Minimal Standards for Reporting microRNA:Target Interactions.

Klara Piletič1, Tanja Kunej1.   

Abstract

Epigenomics is one of the leading frontiers of postgenomics medicine. The challenges and prospects ahead in epigenomics are related not merely to technology innovation and clinical implementation but also to science communication. In this context, microRNAs (miRNAs) are an important part of the epigenomic regulatory machinery. As the number of publications reporting miRNA-target interactions (MTIs) is growing rapidly, there is an urgent need to standardize reporting. This study reports (1) an analysis of the published literature and databases reporting validated MTIs, and for the first time to the best of our knowledge (2) suggests a solution as a way forward, the minimum information required for MTI standard reporting. We retrieved the research reports from PubMed and Web of Science dating from 09/2006 to 01/2017 and downloaded information from DIANA-TarBase, miRecords, and miRTarBase. We evaluated the reporting and extracted MTI data, which we complemented with relevant genomic information. We suggest a standard minimum checklist for MTI reporting, consisting of seven pertinent data types: miRNA gene, target gene, species, experimental validation, sequence variants, associated phenotype, and additionally a PubMed identification (PMID) number in systematic reviews and meta-analyses. Our proposal reported here shall enable faster development of MTI databases and bioinformatics resources, and looking into the future, more efficient planning of experimental designs in the nascent field of epigenomics and its postgenomics applications.

Keywords:  epigenomics; miRNA-target interactions; microRNA; minimum information requirement guidelines; reporting standardization

Mesh:

Substances:

Year:  2017        PMID: 28388300     DOI: 10.1089/omi.2017.0023

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  9 in total

1.  How Should Biobanks Prioritize and Diversify Biosample Collections? A 40-Year Scientific Publication Trend Analysis by the Type of Biosample.

Authors:  Jae-Eun Lee; Young-Youl Kim
Journal:  OMICS       Date:  2018-03-27

2.  E2F1 somatic mutation within miRNA target site impairs gene regulation in colorectal cancer.

Authors:  Camila M Lopes-Ramos; Bruna P Barros; Fernanda C Koyama; Paola A Carpinetti; Julia Pezuk; Nayara T S Doimo; Angelita Habr-Gama; Rodrigo O Perez; Raphael B Parmigiani
Journal:  PLoS One       Date:  2017-07-13       Impact factor: 3.240

3.  Are IL18RAP gene polymorphisms associated with body mass regulation? A cross-sectional study.

Authors:  Vanesa Martínez-Barquero; Griselda de Marco; Sergio Martínez-Hervas; Victoria Adam-Felici; Cristina Pérez-Soriano; Verónica Gonzalez-Albert; Gemma Rojo; Juan Francisco Ascaso; José Tomás Real; Ana Barbara Garcia-Garcia; Juan Carlos Martín-Escudero; Raquel Cortes; Felipe Javier Chaves
Journal:  BMJ Open       Date:  2017-11-15       Impact factor: 2.692

4.  Decreased MiR-128-3p alleviates the progression of rheumatoid arthritis by up-regulating the expression of TNFAIP3.

Authors:  Zhongbin Xia; Fanru Meng; Ying Liu; Yuxuan Fang; Xia Wu; Chunwang Zhang; Dan Liu; Guoqing Li
Journal:  Biosci Rep       Date:  2018-07-31       Impact factor: 3.840

5.  Major Effect of Oxidative Stress on the Male, but Not Female, SP-A1 Type II Cell miRNome.

Authors:  George T Noutsios; Nithyananda Thorenoor; Xuesheng Zhang; David S Phelps; Todd M Umstead; Faryal Durrani; Joanna Floros
Journal:  Front Immunol       Date:  2019-07-10       Impact factor: 7.561

6.  Genetic sex determination assays in 53 mammalian species: Literature analysis and guidelines for reporting standardization.

Authors:  Karin Hrovatin; Tanja Kunej
Journal:  Ecol Evol       Date:  2017-12-13       Impact factor: 2.912

7.  Organ-Specific MicroRNAs (MIR122, 137, and 206) Contribute to Tissue Characteristics and Carcinogenesis by Regulating Pyruvate Kinase M1/2 (PKM) Expression.

Authors:  Kohei Taniguchi; Nobuhiko Sugito; Haruka Shinohara; Yuki Kuranaga; Yosuke Inomata; Kazumasa Komura; Kazuhisa Uchiyama; Yukihiro Akao
Journal:  Int J Mol Sci       Date:  2018-04-24       Impact factor: 5.923

8.  Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis.

Authors:  Indu Khatri; Koelina Ganguly; Sunandini Sharma; Joseph Carmicheal; Sukhwinder Kaur; Surinder K Batra; Manoj K Bhasin
Journal:  Sci Rep       Date:  2019-01-15       Impact factor: 4.379

9.  miR-34a regulates adipogenesis in porcine intramuscular adipocytes by targeting ACSL4.

Authors:  Wenwen Wang; Xiuxiu Li; Ning Ding; Jun Teng; Shen Zhang; Qin Zhang; Hui Tang
Journal:  BMC Genet       Date:  2020-03-14       Impact factor: 2.797

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.