MIPRIP

"MIPRIP" (Mixed Integer linear Programming based Regulatory Interaction Predictor) is a computational tool to identify regulators of gene expression, with a specific focus on the telomerase reverse transcriptase gene (TERT), a key gene for unlimited proliferation in the majority of cancers. The software utilizes regulator-binding information from several sources to construct a generic human and mouse gene regulatory network, enabling the identification of both common and cancer-type specific regulators of TERT across 19 different human cancers.

Key Features and Functionalities:

- Regulatory Network Construction: MIPRIP advances by assembling regulator binding information to construct comprehensive gene regulatory networks for human and mouse models. This foundational step allows for exploring complex regulatory interactions that govern gene expression.

- Identification of TERT Regulators: The tool focuses on identifying TERT gene regulators, crucial for cancer cell proliferation. It has successfully pinpointed common and cancer-specific TERT regulators across various cancer types, providing valuable insights into the mechanisms of TERT reactivation in cancer.

- Validation through Known Regulation Mechanisms: MIPRIP's findings have been validated by investigating known regulatory interactions, such as the regulation of TERT by the ETS1 transcription factor in melanomas with mutations in the TERT promoter. This validation underscores the reliability of MIPRIP's predictions.

- MIPRIP2 R-Package: The improved version, MIPRIP2, is packaged as an R library, making it accessible and easy for researchers with transcriptome datasets. The package allows for the prediction of gene regulation across any gene and disease or condition under investigation.

Topic

Molecular interactions, pathways and networks;Oncology;Gene regulation;Transcription factors and regulatory sites;ChIP-on-chip

Detail

  • Operation: Gene regulatory network analysis;Gene regulatory network prediction;Gene prediction

  • Software interface: Library

  • Language: R

  • License: Not stated

  • Cost: Free of charge

  • Version name: -

  • Credit: German Federal Ministry of Education and Research (BMBF) and Deutsche Forschungsgemeinschaft.

  • Input: -

  • Output: -

  • Contact: Rainer König rainer.koenig@uni-jena.de

  • Collection: -

  • Maturity: -

Publications

  • Modelling TERT regulation across 19 different cancer types based on the MIPRIP 2.0 gene regulatory network approach.
  • Poos AM, et al. Modelling TERT regulation across 19 different cancer types based on the MIPRIP 2.0 gene regulatory network approach. Modelling TERT regulation across 19 different cancer types based on the MIPRIP 2.0 gene regulatory network approach. 2019; 20:737. doi: 10.1186/s12859-019-3323-2
  • https://doi.org/10.1186/S12859-019-3323-2
  • PMID: 31888467
  • PMC: PMC6937852

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