ProCAT: a data analysis approach for protein microarrays

Genome Biol. 2006;7(11):R110. doi: 10.1186/gb-2006-7-11-r110.

Abstract

Protein microarrays provide a versatile method for the analysis of many protein biochemical activities. Existing DNA microarray analytical methods do not translate to protein microarrays due to differences between the technologies. Here we report a new approach, ProCAT, which corrects for background bias and spatial artifacts, identifies significant signals, filters nonspecific spots, and normalizes the resulting signal to protein abundance. ProCAT provides a powerful and flexible new approach for analyzing many types of protein microarrays.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Cyclic AMP-Dependent Protein Kinases / metabolism
  • Protein Array Analysis / methods*
  • Protein Array Analysis / standards
  • Quality Control
  • ROC Curve
  • Saccharomyces cerevisiae / metabolism
  • Software*

Substances

  • Cyclic AMP-Dependent Protein Kinases