Proteomics discovery of disease biomarkers

Mamoun Ahram*, Emanuel F. Petricoin

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

9 Scopus citations


Recent technological developments in proteomics have shown promising initiatives in identifying novel biomarkers of various diseases. Such technologies are capable of investigating multiple samples and generating large amount of data end-points. Examples of two promising proteomics technologies are mass spectrometry, including an instrument based on surface enhanced laser desorption/ionization, and protein microarrays. Proteomics data must, however, undergo analytical processing using bioinformatics. Due to limitations in proteomics tools including shortcomings in bioinformatics analysis, predictive bioinformatics can be utilized as an alternative strategy prior to performing elaborate, high-throughput proteomics procedures. This review describes mass spectrometry, protein microarrays, and bioinformatics and their roles in biomarker discovery, and highlights the significance of integration between proteomics and bioinformatics.

Original languageEnglish
Pages (from-to)325-333
Number of pages9
JournalBiomarker Insights
Issue number3
StatePublished - 2008
Externally publishedYes


  • Bioinformatics
  • Mass spectrometry
  • Protein microarrays
  • Proteomics
  • Surface enhanced laser desorption/ionization


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