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Updated: Dec 19, 2025
Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
Published on: August 21, 2019
MIPPIE: the mouse integrated protein-protein interaction reference
Gregorio Alanis-Lobato1,2, Jannik S Möllmann1, Martin H Schaefer3
1Faculty of Biology, Johannes Gutenberg University, Biozentrum I, Hans-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany.
Abstract:
Cells operate and react to environmental signals thanks to a complex network of protein-protein interactions (PPIs), the malfunction of which can severely disrupt cellular homeostasis. As a result, mapping and analyzing protein networks are key to advancing our understanding of biological processes and diseases. An invaluable part of these endeavors has been the house mouse (Mus musculus), the mammalian model organism par excellence, which has provided insights into human biology and disorders. The importance of investigating PPI networks in the context of mouse prompted us to develop the Mouse Integrated Protein-Protein Interaction rEference (MIPPIE). MIPPIE inherits a robust infrastructure from HIPPIE, its sister database of human PPIs, allowing for the assembly of reliable networks supported by different evidence sources and high-quality experimental techniques. MIPPIE networks can be further refined with tissue, directionality and effect information through a user-friendly web interface. Moreover, all MIPPIE data and meta-data can be accessed via a REST web service or downloaded as text files, thus facilitating the integration of mouse PPIs into follow-up bioinformatics pipelines.
Insights
Researchers developed MIPPIE, a new database for mouse protein-protein interactions (PPIs). This resource aids in understanding cellular functions and diseases by providing reliable mouse PPI networks for bioinformatics analysis.
Area of Science:
- * Molecular Biology
- * Bioinformatics
- * Systems Biology
Background:
- * Cellular function relies on complex protein-protein interactions (PPIs).
- * Malfunctioning PPIs disrupt cellular homeostasis, contributing to diseases.
- * The house mouse (Mus musculus) is a crucial model organism for studying human biology and diseases.
Purpose of the Study:
- * To develop a comprehensive reference database for mouse protein-protein interactions.
- * To facilitate the analysis of mouse PPI networks for biological and disease research.
- * To provide a user-friendly platform for accessing and refining mouse PPI data.
Main Methods:
- * Development of the Mouse Integrated Protein-Protein Interaction rEference (MIPPIE) database.
- * Inheritance of robust infrastructure from the human PPI database HIPPIE.
- * Integration of diverse evidence sources and high-quality experimental techniques.
- * Implementation of a user-friendly web interface for network refinement (tissue, directionality, effect).
- * Provision of data access via REST web service and downloadable text files.
Main Results:
- * MIPPIE provides reliable mouse PPI networks.
- * Networks can be refined with specific biological context (tissue, directionality, effect).
- * Data is accessible through multiple formats, supporting bioinformatics pipelines.
Conclusions:
- * MIPPIE is a valuable resource for studying mouse PPI networks.
- * The database enhances understanding of cellular processes and disease mechanisms in mice.
- * MIPPIE facilitates the integration of mouse PPI data into broader research efforts.
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