A workflow for peptide-based proteomics in a poorly sequenced plant: A case study on the plasma membrane proteome of banana

A. Vertommen, Anders Laurell Blom Møller, J. H. G. Cordewener, R. Swennen, B. Panis, Christine Finnie, A. H. P. America, S. C. Carpentier

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Membrane proteins are an interesting class of proteins because of their functional importance. Unfortunately their analysis is hampered by low abundance and poor solubility in aqueous media. Since shotgun methods are high-throughput and partly overcome these problems, they are preferred for membrane proteomics. However, their application in non-model plants demands special precautions to prevent false positive identification of proteins.In the current paper, a workflow for membrane proteomics in banana, a poorly sequenced plant, is proposed. The main steps of this workflow are (i) optimization of the peptide separation, (ii) performing de novo sequencing to allow a sequence homology search and (iii) visualization of identified peptide–protein associations using Cytoscape to remove redundancy and wrongly assigned peptides, based on species-specific information. By applying this workflow, integral plasma membrane proteins from banana leaves were successfully identified.
    Original languageEnglish
    JournalJournal of Proteomics
    Volume74
    Issue number8
    Pages (from-to)1218-1229
    ISSN1874-3919
    DOIs
    Publication statusPublished - 2011

    Keywords

    • MS Homology
    • Protein identification
    • Cytoscape
    • Poorly sequenced plants
    • Plasma membrane proteomics

    Fingerprint

    Dive into the research topics of 'A workflow for peptide-based proteomics in a poorly sequenced plant: A case study on the plasma membrane proteome of banana'. Together they form a unique fingerprint.

    Cite this