Please use this identifier to cite or link to this item: https://doi.org/10.1002/pmic.201000289
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dc.titleSubcellular fractionation methods and strategies for proteomics
dc.contributor.authorLee, Y.H.
dc.contributor.authorTan, H.T.
dc.contributor.authorChung, M.C.M.
dc.date.accessioned2014-11-26T07:50:52Z
dc.date.available2014-11-26T07:50:52Z
dc.date.issued2010-11
dc.identifier.citationLee, Y.H., Tan, H.T., Chung, M.C.M. (2010-11). Subcellular fractionation methods and strategies for proteomics. Proteomics 10 (22) : 3935-3956. ScholarBank@NUS Repository. https://doi.org/10.1002/pmic.201000289
dc.identifier.issn16159853
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/109871
dc.description.abstractDevelopments in subcellular fractionation strategies have provided the means to profile and analyze the protein composition of organelles and cellular structures by proteomics. Here, we review the application of classical (e.g. density gradient centrifugation) and emerging sophisticated techniques (fluorescent-assisted organelle sorting) in the fractionation, and statistical/bioinformatics tools for the prediction of protein localization in subcellular proteomics. We also review the validation methods currently used (such as microscopy, RNA interference and multiple reaction monitoring) and discuss the importance of verification of the results obtained in subcellular proteomics. Finally, the numerous challenges facing subcellular proteomics including the dynamics of organelles are being examined. However, complementary approaches such as modern statistics, bioinformatics and large-scale integrative analysis are beginning to emerge as powerful tools to proteomics for analyzing subcellular organelles and structures. © 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1002/pmic.201000289
dc.sourceScopus
dc.subjectCell biology
dc.subjectOrganelle
dc.subjectSubcellular fractionation
dc.typeReview
dc.contributor.departmentBIOCHEMISTRY
dc.description.doi10.1002/pmic.201000289
dc.description.sourcetitleProteomics
dc.description.volume10
dc.description.issue22
dc.description.page3935-3956
dc.description.codenPROTC
dc.identifier.isiut000285164500002
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