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Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
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GTExVisualizer: a web platform for supporting ageing studies.

Pietro Hiram Guzz1,2, Ugo Lomoio1, Pierangelo Veltri3

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Summary
This summary is machine-generated.

GTExVisualizer offers new ways to study molecular aging and sex effects using gene expression data. This platform enhances analysis of the Genotype-Tissue Expression (GTEx) portal for life science research.

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Area of Science:

  • Molecular biology
  • Genomics
  • Bioinformatics

Background:

  • Studying molecular aging is crucial for life sciences.
  • The Genotype-Tissue Expression (GTEx) portal provides valuable transcriptomics data.
  • Existing GTEx portal functionalities are limited for detailed sex/age-specific analyses.

Purpose of the Study:

  • To develop a platform for querying and analyzing GTEx data with enhanced sex/age-specific functionalities.
  • To enable visualization and network-based analysis of gene expression patterns related to aging and sex.
  • To facilitate deeper insights into molecular mechanisms underlying aging processes.

Main Methods:

  • Development of the GTExVisualizer platform with a web interface.
  • Integration of graphical representation and query functionalities.
  • Incorporation of network-based modules for protein interaction studies and sex/age expression pattern analysis.

Main Results:

  • GTExVisualizer enables graphical representation and study of query results.
  • The platform facilitates analysis of gene expression patterns across different sex and age groups.
  • Users can obtain statistics highlighting gene expression differences among sex/age cohorts.

Conclusions:

  • GTExVisualizer provides a novel tool for investigating aging and sex-related effects on molecular processes.
  • The platform enhances the utility of GTEx data for aging research.
  • It supports advanced analysis beyond basic data retrieval.