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Related Experiment Videos

Proteome analysis: genomics via the output rather than the input code

I Humphery-Smith1, W Blackstock

  • 1Centre for Proteome Research and Gene-Product Mapping, National Innovation Centre, Eveleigh, Australia. reeves04@angis.su.oz.au

Journal of Protein Chemistry
|July 1, 1997
PubMed
Summary
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Proteomics reveals gene product translation, concentration, and modification, offering insights beyond DNA sequences. New

Area of Science:

  • Proteomics
  • Genomics
  • Molecular Biology

Background:

  • The genome encodes the proteome, but DNA sequences alone cannot predict protein expression, concentration, or modifications.
  • Accurate prediction requires understanding protein translation, abundance, and post-translational modifications.

Purpose of the Study:

  • To review the current state of proteome analysis, including techniques, automation, and relevance to genomics.
  • To introduce the concept of 'proteomic contigs' for a comprehensive view of cellular protein expression.

Main Methods:

  • Analysis of proteome analysis techniques, including mass spectrometry and bioinformatics.
  • Development and application of 'proteomic contigs' using molecular mass and isoelectric point data.
  • Utilizing peptide-mass fingerprinting (PMF) for protein identification and motif discovery.

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Main Results:

  • Improvements in resolution and sensitivity for detecting protein expression in various biological systems.
  • Demonstrated utility of PMF in discovering novel protein motifs, such as one in Elongation Factor Tu.
  • Identification of a previously unknown motif in Elongation Factor Tu with potential structural significance.

Conclusions:

  • Proteomics provides critical information not available from genomic data alone.
  • 'Proteomic contigs' offer a novel approach to reconstructing cellular protein expression profiles.
  • Advanced techniques like PMF enhance protein analysis and facilitate the discovery of functional motifs.