Special Issue "Sub-cellular Proteomics"
A special issue of Proteomes (ISSN 2227-7382).
Deadline for manuscript submissions: closed (31 March 2016)
Assoc. Prof. Dr. Nicolas L. Taylor
ARC Centre of Excellence in Plant Energy Biology, School of Molecular Sciences & The Institute of Agriculture, The University of Western Australia, Crawley, WA 6009, Australia
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Interests: plant mitochondria; subcellular fractionation; protein; lipid and metabolite mass spectrometry; plant metabolism; abiotic stress; yield
Despite the increasing sensitivity of mass spectrometers released by instrument manufacturers, the challenge to identify all of the proteins in an organism remains unattained. Whilst typical whole organism studies do regularly characterize the top ~3000 most abundant proteins the remaining proteins are typically beyond the limited dynamic range of the current generation of mass spectrometers (typically ~103–104). To overcome this limitation and begin to identify these proteins, researchers have employed a number of strategies to reduce sample complexity and/or deplete high abundance proteins before undertaking proteomic analyses. Typically, these rely on combinations of tissue selection, subcellular fractionation and/or physiochemical separations of proteins. Whilst all of these approaches have merit, increasingly researchers are turning towards targeted enrichment of specific organellar or structure proteomes rather than selecting proteins based on parameters such as size, charge or chemical affinity. The major advantage of this approach is that the proteins that constitute these subcellular proteomes are likely to cooperate in a similar set of biochemical processes, because specific cellular functions are typically compartmentalized into discrete subcellular locations. Therefore, profiling these sets of functionally related proteins via proteomics approaches enables researchers to gather deeper information within a narrower set of biological pathways. This contrasts with data generated by whole-organism proteomics approaches, which typically gather shallow information across a wide range of biological processes. These subcellular proteomes provide insights into their function during disease or following various treatments and ultimately contribute to the wider understanding of the entire organism. This Special Issue aims to bring together the latest developments and approaches for the analysis of subcellular proteomes and to review our current understanding of subcellular proteomic analysis techniques.
Dr. Nicolas Taylor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Proteomes is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 550 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Subcellular Proteomics
- Quantitative Proteomics
- Mass Spectrometry
- Subcellular fractionation