HTT-OMNI
HTT-OMNI integrates and analyzes HTT-interacting proteins (HIPs) and polyQ-dependent omics data to characterize how polyglutamine expansions in huntingtin (HTT) modulate protein interactions and molecular networks relevant to Huntington's disease (HD).
Key Features:
- Integration of Extensive Datasets: Consolidates over 3,000 potential HIPs, primarily from the HINT database, with polyQ-dependent transcriptome and proteome measurements.
- User-Generated Data Integration: Allows incorporation of external user datasets alongside existing HIP and omics data for combined analysis.
- Advanced Filtering Capabilities: Enables filtering of HIPs by experimental metadata such as model organism and tissue to support targeted, tissue-specific analyses.
- Visualization of Molecular Relationships: Visualizes relationships among HTT protein–protein interactions (PPIs), genetic modifiers of HD, and multiomic landscapes.
- Generation and Analysis of Novel Datasets: Supports identification and analysis of previously unreported HTT PPIs and definition of tissue-specific interactions, including comparison of interaction stability across brain regions.
Scientific Applications:
- Modifier Discovery: Facilitates identification and prioritization of proximal HTT interactors and genetic modifiers implicated in HD pathogenesis.
- Tissue-Specific Mechanisms: Enables study of tissue-dependent HTT interaction networks, including cortex- and striatum-specific changes relevant to HD.
- Multiomic Contextualization: Integrates transcriptomic and proteomic data to place HTT PPIs in a multiomic context for hypothesis generation about molecular pathways and targets.
Methodology:
Integrates HIPs (primarily from HINT) with polyQ-dependent transcriptome and proteome measurements, applies metadata-based filtering by organism and tissue, visualizes HTT PPIs and genetic modifiers across multiomic datasets, and supports generation/analysis of novel PPIs and assessment of polyQ effects on interaction stability in cortex and striatum using HD mouse models.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 10/19/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Kennedy MA, Greco TM, Song B, Cristea IM. HTT-OMNI: A Web-based Platform for Huntingtin Interaction Exploration and Multi-omics Data Integration. Molecular & Cellular Proteomics. 2022;21(10):100275. doi:10.1016/j.mcpro.2022.100275. PMID:35932982. PMCID:PMC9540350.