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Reporter Genes02:11

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Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.
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A Human "eFP" Browser for Generating Gene Expression Anatograms.

Rohan V Patel1,2, Erin T Hamanishi3, Nicholas J Provart1,2

  • 1Department of Cell & Systems Biology, 25 Willcocks Street, University of Toronto, Toronto, ON, M5S 3B2, Canada.

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The Human eFP Browser visualizes gene expression data from multiple human transcriptomic studies. This tool provides an intuitive overview of gene activity across various tissues and conditions.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Transcriptomic studies are crucial for understanding gene function.
  • Existing human transcriptomic studies often focus on limited tissue types or disease states.
  • Compiling multiple studies offers a broader view of gene expression.

Purpose of the Study:

  • To develop an intuitive tool for visualizing large human gene expression datasets.
  • To provide an overview of gene expression levels across diverse human tissues and conditions.
  • To facilitate deeper understanding and knowledge extraction from transcriptomic data.

Main Methods:

  • Collation of multiple transcriptomic studies profiled on the same platform into a compendium.
  • Development of the Human eFP (electronic Fluorescent Pictograph) Browser.
  • Generation of gene expression 'anatograms' on pictographic human body representations.

Main Results:

  • The Human eFP Browser enables intuitive visualization of gene expression data.
  • Pictographic representations ('anatograms') are generated for easy interpretation.
  • The tool allows for easy generation of pictographic representations for new datasets.

Conclusions:

  • The Human eFP Browser enhances the understanding of human gene expression patterns.
  • It serves as a valuable resource for researchers by providing accessible data visualization.
  • The browser also acts as a portal to additional gene-specific information via link-outs.