anexVis

anexVis visualizes and analyzes glycosaminoglycan (GAG) biosynthetic and catabolic pathway transcriptomes across human tissues using RNA-seq datasets (including GTEx) to map expression of biosynthetic and catabolic enzymes, core proteoglycans, transporters, and regulatory factors.


Key Features:

  • Comprehensive Pathway Analysis: Analyzes genes involved in the biosynthesis and catabolism of heparan sulfate, chondroitin sulfate, keratan sulfate, and hyaluronic acid.
  • Organ/Tissue-Specific Insights: Performs parallel analyses across human tissues and organs to reveal organ-specific expression patterns of GAG-related genes.
  • Integration with Public Datasets: Integrates publicly available RNA-seq data from the GTEx project (with NIH permission) to support tissue-level transcriptome analyses.
  • Visualization Capabilities: Generates visual representations that elucidate relationships among biosynthetic and catabolic enzymes, core protein proteoglycans, transporters, and regulatory factors controlling GAG metabolism.

Scientific Applications:

  • Transcriptome Analysis: Enables exploration of the transcriptomic landscape of GAG-related genes to inform their roles in health and disease.
  • Disease Research: Supports study of lysosomal diseases and rare glycan-related disorders by characterizing organ- and tissue-specific expression changes.
  • Biomarker Discovery: Facilitates identification of potential organ-specific biomarkers associated with GAG metabolism.

Methodology:

anexVis employs a data-driven approach to integrate and visualize RNA-seq transcriptome data from the GTEx project to construct maps of GAG biosynthetic and catabolic pathways and to highlight key interactions and regulatory mechanisms.

Topics

Details

Added:
3/28/2022
Last Updated:
3/28/2022

Operations

Publications

Thambu K, Balagurunathan K. anexVis: A Transcriptome Tool to Visualize Organ/Tissue-Specific Glycosaminoglycan Biosynthetic and Catabolic Pathways in Human Health and Diseases. Methods in Molecular Biology. 2021. doi:10.1007/978-1-0716-1398-6_31. PMID:34626395.