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MIO: MicroRNA target analysis system for Immuno-Oncology.

Authors
  • Monfort-Lanzas, Pablo1, 2
  • Gronauer, Raphael1
  • Madersbacher, Leonie1
  • Schatz, Christoph3
  • Rieder, Dietmar1
  • Hackl, Hubert1
  • 1 Institute of Bioinformatics, Biocenter, Medical University of Innsbruck, Innrain 80, Innsbruck, 6020, Austria. , (Austria)
  • 2 Institute of Medical Biochemistry, Biocenter, Medical University of Innsbruck, Innrain 80, 6020, Austria Innsbruck. , (Austria)
  • 3 Institute of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck, Müllerstraße 44, Innsbruck, 6020, Austria. , (Austria)
Type
Published Article
Journal
Bioinformatics (Oxford, England)
Publication Date
Jun 01, 2022
Identifiers
DOI: 10.1093/bioinformatics/btac366
PMID: 35642895
Source
Medline
Language
English
License
Unknown

Abstract

MicroRNAs have been shown to be able to modulate the tumor microenvironment and the immune response and hence could be interesting biomarkers and therapeutic targets in immuno-oncology, however, dedicated analysis tools are missing. Here we present a user-friendly web platform MIO and a Python toolkit miopy integrating various methods for visualization and analysis of provided or custom bulk microRNA and gene expression data. We include regularized regression and survival analysis and provide information of forty microRNA target prediction tools as well as a collection of curated immune related gene and microRNA signatures and processed TCGA data including estimations of infiltrated immune cells and the immunophenoscore. The integration of several machine learning methods enable the selection of prognostic and predictive microRNAs and gene interaction network biomarkers. https://mio.icbi.at, https://github.com/icbi-lab/mio, https://github.com/icbi-lab/miopy. Supplementary data are available at Bioinformatics online. © The Author(s) 2022. Published by Oxford University Press.

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