Literature DB >> 30421406

miRNet-Functional Analysis and Visual Exploration of miRNA-Target Interactions in a Network Context.

Yannan Fan1, Jianguo Xia2,3.   

Abstract

To gain functional insights into microRNAs (miRNAs), researchers usually look for pathways or biological processes that are overrepresented in their target genes. The interpretation is often complicated by the fact that a single miRNA can target many genes and multiple miRNAs can regulate a single gene. Here we introduce miRNet ( www.mirnet.ca ), an easy-to-use web-based tool designed for creation, customization, visual exploration and functional interpretation of miRNA-target interaction networks. By integrating multiple high-quality miRNA-target data sources and advanced statistical methods into a powerful network visualization system, miRNet allows researchers to easily navigate the complex landscape of miRNA-target interactions to obtain deep biological insights. This tutorial provides a step-by-step protocol on how to use miRNet to create miRNA-target networks for visual exploration and functional analysis from different types of data inputs.

Keywords:  Differential expression analysis; Empirical sampling; Microarray; Network analysis; RNA-seq; RT-qPCR; Visual analytics; miRNA functional analysis; miRNA–target interaction

Mesh:

Substances:

Year:  2018        PMID: 30421406     DOI: 10.1007/978-1-4939-8618-7_10

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  63 in total

1.  CircNAPEPLD is expressed in human and murine spermatozoa and physically interacts with oocyte miRNAs.

Authors:  Marco Ragusa; Davide Barbagallo; Teresa Chioccarelli; Francesco Manfrevola; Gilda Cobellis; Cinzia Di Pietro; Duilia Brex; Rosalia Battaglia; Silvia Fasano; Bruno Ferraro; Carolina Sellitto; Concetta Ambrosino; Luca Roberto; Michele Purrello; Riccardo Pierantoni; Rosanna Chianese
Journal:  RNA Biol       Date:  2019-06-14       Impact factor: 4.652

2.  Bioinformatics analyses of significant genes, related pathways, and candidate diagnostic biomarkers and molecular targets in SARS-CoV-2/COVID-19.

Authors:  Basavaraj Vastrad; Chanabasayya Vastrad; Anandkumar Tengli
Journal:  Gene Rep       Date:  2020-11-04

3.  Identification of hub genes related to the progression of type 1 diabetes by computational analysis.

Authors:  G Prashanth; Basavaraj Vastrad; Anandkumar Tengli; Chanabasayya Vastrad; Iranna Kotturshetti
Journal:  BMC Endocr Disord       Date:  2021-04-07       Impact factor: 2.763

4.  Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gestational diabetes mellitus.

Authors:  Varun Alur; Varshita Raju; Basavaraj Vastrad; Anandkumar Tengli; Chanabasayya Vastrad; Shivakumar Kotturshetti
Journal:  Biosci Rep       Date:  2021-05-28       Impact factor: 3.840

5.  MiRNA post-transcriptional modification dynamics in T cell activation.

Authors:  Ana Rodríguez-Galán; Sara G Dosil; Manuel José Gómez; Irene Fernández-Delgado; Lola Fernández-Messina; Fátima Sánchez-Cabo; Francisco Sánchez-Madrid
Journal:  iScience       Date:  2021-05-12

6.  Transcriptomic Analysis Reveals the MicroRNAs Responsible for Liver Regeneration Associated With Mortality in Alcohol-Associated Hepatitis.

Authors:  Zhihong Yang; Ting Zhang; Praveen Kusumanchi; Qing Tang; Zhaoli Sun; Svetlana Radaeva; Brandon Peiffer; Vijay H Shah; Patrick Kamath; Greg J Gores; Arun Sanyal; Naga Chalasani; Yanchao Jiang; Nazmul Huda; Jing Ma; Suthat Liangpunsakul
Journal:  Hepatology       Date:  2021-07-26       Impact factor: 17.425

7.  Epithelial-Mesenchymal Transition Gene Signature Related to Prognostic in Colon Adenocarcinoma.

Authors:  Constantin Busuioc; Cristina Alexandra Ciocan-Cartita; Cornelia Braicu; Oana Zanoaga; Lajos Raduly; Monica Trif; Mihai-Stefan Muresan; Calin Ionescu; Cristina Stefan; Carmen Crivii; Nadim Al Hajjar; Simona Mǎrgǎrit; Ioana Berindan-Neagoe
Journal:  J Pers Med       Date:  2021-05-26

8.  Identification of candidate biomarkers and therapeutic agents for heart failure by bioinformatics analysis.

Authors:  Vijayakrishna Kolur; Basavaraj Vastrad; Chanabasayya Vastrad; Shivakumar Kotturshetti; Anandkumar Tengli
Journal:  BMC Cardiovasc Disord       Date:  2021-07-04       Impact factor: 2.298

9.  Identification of Key Pathways and Genes in Obesity Using Bioinformatics Analysis and Molecular Docking Studies.

Authors:  Harish Joshi; Basavaraj Vastrad; Nidhi Joshi; Chanabasayya Vastrad; Anandkumar Tengli; Iranna Kotturshetti
Journal:  Front Endocrinol (Lausanne)       Date:  2021-06-24       Impact factor: 5.555

10.  miRNome and Functional Network Analysis of PGRMC1 Regulated miRNA Target Genes Identify Pathways and Biological Functions Associated With Triple Negative Breast Cancer.

Authors:  Diego A Pedroza; Matthew Ramirez; Venkatesh Rajamanickam; Ramadevi Subramani; Victoria Margolis; Tugba Gurbuz; Adriana Estrada; Rajkumar Lakshmanaswamy
Journal:  Front Oncol       Date:  2021-07-19       Impact factor: 6.244

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