Arabidopsis cell wall proteome defined using multidimensional protein identification technology

Emmanuelle M. Bayer, Andrew R. Bottrill, John Walshaw, Marielle Vigouroux, Mike J. Naldrett, Carole L. Thomas, Andrew J. Maule

Research output: Contribution to journalArticlepeer-review

205 Scopus citations


With the completion of the sequencing of the Arabidopsis genome and the recent advances in proteomic technology, the identification of proteins from highly complex mixtures is now possible. Rather than using gel electrophoresis and peptide mass fingerprinting, we have used multidimensional protein identification technology (MudPIT) to analyse the 'tightly-bound' proteome for purified cell walls from Arabidospis cell suspension cultures. Using bioinformatics for the prediction of signal peptides for targeting to the secretory pathway and for the absence of ER retention signal, 89 proteins were selected as potential extracellular proteins. Only 33% of these were identified in previous proteomic analyses of Arabidopsis cell walls. A functional classification revealed that a large proportion of the proteins were enzymes, notably carbohydrate active enzymes, peroxidases and proteases. Comparison of all the published proteomic analyses for the Arabidopsis cell wall identified 268 non-redundant genes encoding wall proteins. Sixty of these (22%) were derived from our analysis of tightly-bound wall proteins.

Original languageEnglish (US)
Pages (from-to)301-311
Number of pages11
Issue number1
StatePublished - Jan 2006
Externally publishedYes


  • Arabidopsis
  • Cell wall proteome
  • Multidimensional protein identification technology

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology


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