Please use this identifier to cite or link to this item: https://doi.org/10.1002/pmic.201000289
Title: Subcellular fractionation methods and strategies for proteomics
Authors: Lee, Y.H.
Tan, H.T. 
Chung, M.C.M.
Keywords: Cell biology
Organelle
Subcellular fractionation
Issue Date: Nov-2010
Citation: Lee, 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
Abstract: Developments 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.
Source Title: Proteomics
URI: http://scholarbank.nus.edu.sg/handle/10635/109871
ISSN: 16159853
DOI: 10.1002/pmic.201000289
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

57
checked on Oct 17, 2019

WEB OF SCIENCETM
Citations

51
checked on Oct 17, 2019

Page view(s)

95
checked on Oct 11, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.