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    Exploring the Arabidopsis Proteome: Influence of Protein Solubilization Buffers on Proteome Coverage

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    ijms-16-00857.pdf
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    Type
    Article
    Authors
    Marondedze, Claudius cc
    Wong, Aloysius Tze cc
    Groen, Arnoud
    Serano, Natalia Lorena Gorron cc
    Jankovic, Boris R.
    Lilley, Kathryn
    Gehring, Christoph A cc
    Thomas, Ludivine
    KAUST Department
    Biological and Environmental Sciences and Engineering (BESE) Division
    Bioscience Core Lab
    Bioscience Program
    Computational Bioscience Research Center (CBRC)
    Molecular Signalling Group
    Date
    2014-12-31
    Permanent link to this record
    http://hdl.handle.net/10754/550137
    
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    Abstract
    The study of proteomes provides new insights into stimulus-specific responses of protein synthesis and turnover, and the role of post-translational modifications at the systems level. Due to the diverse chemical nature of proteins and shortcomings in the analytical techniques used in their study, only a partial display of the proteome is achieved in any study, and this holds particularly true for plant proteomes. Here we show that different solubilization and separation methods have profound effects on the resulting proteome. In particular, we observed that the type of detergents employed in the solubilization buffer preferentially enriches proteins in different functional categories. These include proteins with a role in signaling, transport, response to temperature stimuli and metabolism. This data may offer a functional bias on comparative analysis studies. In order to obtain a broader coverage, we propose a two-step solubilization protocol with first a detergent-free buffer and then a second step utilizing a combination of two detergents to solubilize proteins.
    Citation
    Exploring the Arabidopsis Proteome: Influence of Protein Solubilization Buffers on Proteome Coverage 2014, 16 (1):857 International Journal of Molecular Sciences
    Publisher
    MDPI AG
    Journal
    International Journal of Molecular Sciences
    DOI
    10.3390/ijms16010857
    PubMed ID
    25561235
    PubMed Central ID
    PMC4307279
    Additional Links
    http://www.mdpi.com/1422-0067/16/1/857/
    ae974a485f413a2113503eed53cd6c53
    10.3390/ijms16010857
    Scopus Count
    Collections
    Articles; Biological and Environmental Science and Engineering (BESE) Division; Bioscience Program; Computational Bioscience Research Center (CBRC); Bioscience Core Lab

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