The case for well-conducted experiments to validate statistical protocols for 2D gels: different pre-processing = different lists of significant proteins

BMC Biotechnol. 2005 Feb 11:5:7. doi: 10.1186/1472-6750-5-7.

Abstract

Background: The proteomics literature has seen a proliferation of publications that seek to apply the rapidly improving technology of 2D gels to study various biological systems. However, there is a dearth of systematic studies that have investigated appropriate statistical approaches to analyse the data from these experiments.

Results: Comparison of the effects of statistical pre-processing on the results of two sample t-tests suggests that the results of 2D gel experiments and by extension the conclusions derived from these experiments are not independent of the statistical protocol used.

Conclusions: This study suggests that there is a need for well-conducted validation studies to establish optimal statistical techniques to be used on such data sets.

MeSH terms

  • Animals
  • Biotechnology / methods*
  • Brain / metabolism
  • Computational Biology / methods
  • Data Interpretation, Statistical*
  • Databases, Protein
  • Electrophoresis, Gel, Two-Dimensional / methods*
  • Gene Expression Profiling / methods
  • Isoelectric Focusing
  • Isoelectric Point
  • Mass Spectrometry
  • Models, Statistical
  • Proteins / analysis
  • Proteins / chemistry*
  • Proteome
  • Proteomics / methods*
  • RNA
  • Rats
  • Rats, Sprague-Dawley
  • Reproducibility of Results
  • Research Design
  • Software

Substances

  • Proteins
  • Proteome
  • RNA