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Assessing gene expression variation in normal human tissues using GeneTag, a novel, global, sensitive profiling

Lily Y Wong¹, Andrea Hafeman, Victoria L Boyd

¹Applied Biosystems, 850 Lincoln Centre Drive, Foster City, CA 94404, USA.

Journal of Biotechnology

|March 5, 2003

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GeneTag, a novel gene expression profiling method, identifies expressed genes without prior sequence knowledge. This study highlights individual gene expression variations crucial for interpreting transcript profiling experiments.

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Gene expression profiling is essential for understanding biological processes.
Current methods often require prior sequence knowledge.
Individual variations in gene expression can impact experimental outcomes.

Purpose of the Study:

To introduce GeneTag, a novel method for gene expression profiling.
To apply GeneTag for analyzing gene expression variation in human liver.
To identify tissue-specific genes across human organs.

Main Methods:

GeneTag enables visualization, quantification, and identification of expressed genes.
The method is independent of underlying sequence information.
Expression data is stored in a database for analysis using proprietary software.

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Main Results:

GeneTag was applied to determine gene expression variation in individual human liver samples.
Tissue-specific genes were identified by comparing expression patterns across human organs.
Differentially expressed genes were rapidly identified via a sequence database link.

Conclusions:

GeneTag provides a versatile tool for gene expression profiling across species and tissues.
Understanding individual gene expression variation is critical for designing and interpreting transcript profiling studies.
This method aids in the identification of novel and known genes and tissue-specific expression patterns.