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.

PMID: 35932982
PMCID: PMC9540350
Funding: - National Science Foundation: DGE-1656466