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Related Concept Videos

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
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Updated: Sep 2, 2025

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HTT-OMNI: A Web-based Platform for Huntingtin Interaction Exploration and Multi-omics Data Integration.

Michelle A Kennedy1, Todd M Greco1, Bokai Song1

  • 1Department of Molecular Biology, Princeton University, Lewis Thomas Laboratory, Princeton, New Jersey, USA.

Molecular & Cellular Proteomics : MCP
|August 6, 2022
PubMed
Summary

Huntington's disease research now has HTT-OMNI, a platform integrating huntingtin protein interactions and omics data. This tool aids discovery of disease modifiers and therapeutic targets for this progressive neurological disorder.

Keywords:
Huntington's diseasecomputational platformhuntingtinmultiomicsprotein–protein interactions

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Area of Science:

  • Neuroscience
  • Genetics
  • Bioinformatics

Background:

  • Huntington's disease (HD) is a progressive neurodegenerative disorder caused by polyglutamine expansion in the huntingtin (HTT) protein.
  • Understanding HTT-interacting proteins (HIPs) and the omics landscape is crucial for identifying HD disease modifiers.
  • Existing data on HIPs and omics are fragmented, hindering comprehensive analysis.

Purpose of the Study:

  • To develop a unified web-based platform, HTT-OMNI, for exploring HTT interactors and associated omics data.
  • To facilitate the integration of diverse datasets for a deeper understanding of HD pathogenesis.
  • To enable the analysis of tissue-specific HTT interactions and their modulation in HD.

Main Methods:

  • Development of the HTT-OMNI web application.
  • Integration of ∼3400 potential HTT interactors from the HINT database.
  • Incorporation of polyglutamine-dependent omics measurements (transcriptome, proteome).
  • Facilitation of user-generated dataset integration.
  • Analysis of HTT protein-protein interactions (PPIs) using experimental metadata.
  • Visualization of relationships between HIPs, genetic modifiers, and multiomic data.
  • Generation and analysis of novel HTT PPI datasets in HD mouse models.

Main Results:

  • HTT-OMNI provides a centralized platform for visualizing and exploring HTT interactors and omics data.
  • The platform enables filtering of HTT PPIs based on experimental metadata (e.g., model organism, tissue).
  • Analysis revealed relationships between HTT PPIs, genetic modifiers, and their multiomic landscape.
  • New data defined tissue-specific HTT interactions and their polyglutamine-dependent stability modulation in HD mouse models.

Conclusions:

  • HTT-OMNI addresses the critical need for a unified platform in HD research.
  • The platform enhances the exploration of HIPs and omics data to uncover HD disease mechanisms.
  • HTT-OMNI facilitates the identification of potential therapeutic targets by analyzing interactions and omics profiles in HD models.