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Related Experiment Video

Updated: May 26, 2026

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae
08:22

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae

Published on: January 15, 2020

An expression map for Anopheles gambiae.

Robert M Maccallum1, Seth N Redmond, George K Christophides

  • 1Division of Cell and Molecular Biology, Department of Life Sciences, Imperial College London, London, UK. r.maccallum@imperial.ac.uk

BMC Genomics
|December 22, 2011
PubMed
Summary

This study maps gene expression across 93 conditions in the malaria mosquito Anopheles gambiae, revealing functional clusters and immune gene organization. The findings provide a systems-level view of mosquito gene activity and potential interactions.

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Area of Science:

  • Genomics
  • Systems Biology
  • Vector Biology

Background:

  • Quantitative transcriptome data for Anopheles gambiae exists for various conditions.
  • Current summaries lack a systems-level view of gene expression across all conditions.
  • A genome-wide visualization of gene expression is needed for Anopheles gambiae.

Purpose of the Study:

  • To create a systems-level overview of gene expression in Anopheles gambiae.
  • To visualize and analyze gene expression patterns across multiple experimental conditions.
  • To identify functional gene clusters and understand the organization of immunity-related genes.

Main Methods:

  • Clustering of microarray-based gene expression values for 10194 genes across 93 experimental conditions.
  • Utilized a self-organizing map for data visualization and analysis.
  • Analysis of gene clusters for functional enrichment and distribution of gene families.

Main Results:

  • A self-organizing map revealed distinct regions corresponding to biological events like egg production.
  • Gene clusters were enriched in functions such as protein synthesis and DNA replication.
  • Immunity-related genes were non-randomly distributed in specific regions, distinct from housekeeping genes.
  • Immune gene families like PGRPs and defensins showed specialization for distinct roles.

Conclusions:

  • The study presents the first genome-scale, multi-experiment gene expression map for Anopheles gambiae.
  • The map offers a systems-level view and aids in investigating potential gene interactions.
  • A web interface is available via VectorBase for accessing and exploring the data.