An integrated strategy for the optimization of microarray data interpretation

Gene Expr. 2005;12(4-6):223-30. doi: 10.3727/000000005783991990.

Abstract

The completion of a microarray experiment represents just a starting point toward understanding the biology of interest. A follow-up strategy is needed to fully elucidate the functional significance of microarray-derived measurements of differential expression. Given the fact that no single approach can fully unravel the fundamental biology that is typically quite complex, the follow-up strategy must be integrated at multiple levels encompassing bioinformatics, genomics, and proteomics. In this review, we discuss an integrative approach, which can be used to prioritize microarray-derived candidate genes, define their functions, and place them in the context of the biological system being studied.

Publication types

  • Review

MeSH terms

  • Animals
  • Chromosome Mapping
  • Computational Biology
  • Databases, Nucleic Acid
  • Databases, Protein
  • Gene Expression Profiling / methods*
  • Genomics
  • Humans
  • Mice
  • Oligonucleotide Array Sequence Analysis / methods*
  • Proteomics
  • Quantitative Trait Loci
  • Rats