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Related Experiment Videos

Annotation and cross-indexing of array elements on multiple platforms.

William B Mattes1

  • 1Investigative Toxicology, Pfizer Inc, Kalamazoo, Michigan, USA. wmattes@genelogic.com

Environmental Health Perspectives
|March 23, 2004
PubMed
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This study introduces an algorithm to standardize gene annotation across different microarrays. It generates a cross-chip identifier, enabling consistent analysis of gene expression data from diverse platforms.

Area of Science:

  • Bioinformatics
  • Genomics
  • Molecular Biology

Background:

  • Microarray transcript profiling measures global cellular responses to perturbations by analyzing gene expression changes.
  • Challenges arise from inconsistent naming and descriptions of nucleic acid sequences in public databases, complicating cross-platform data integration.
  • Elements on microarrays, representing short nucleic acid sequences, may monitor the same genetic locus but possess different identifiers.

Purpose of the Study:

  • To develop a hierarchical algorithm for assigning a single, best annotation to microarray elements.
  • To enable cross-indexing of elements from different microarray platforms for consistent data analysis.
  • To address the issue of disparate sequence annotations in public databases impacting gene expression studies.

Main Methods:

Related Experiment Videos

  • A hierarchical algorithm is employed to assign standardized annotations to microarray elements.
  • The algorithm utilizes nucleic acid accession numbers to retrieve annotations from LocusLink and UniGene databases.
  • Priority is given to curated LocusLink annotations, with GenBank used as a fallback.

Main Results:

  • A cross-chip identifier is generated for each array element, facilitating cross-platform comparisons.
  • The algorithm successfully harmonizes annotations from different microarray platforms.
  • A Perl script is provided for practical implementation of the annotation algorithm.

Conclusions:

  • The developed algorithm provides a robust solution for standardizing gene annotation in microarray data.
  • Consistent annotation is crucial for accurate interpretation of global gene expression profiles across studies.
  • This approach enhances the comparability and reliability of transcriptomic data generated from various microarray platforms.