Tandem application of cationic colloidal silica and Triton X-114 for plasma membrane protein isolation and purification: Towards developing an MDCK protein database

Plasma membrane (PM) proteins are attractive therapeutic targets because of their accessibility to drugs. Although genes encoding PM proteins represent 20–30% of eukaryotic genomes, a detailed characterisation of their encoded proteins is underrepresented, due, to their low copy number and the inher...

Full description

Saved in:
Bibliographic Details
Published inProteomics (Weinheim) Vol. 11; no. 7; pp. 1238 - 1253
Main Authors Mathias, Rommel A., Chen, Yuan-Shou, Goode, Robert J. A., Kapp, Eugene A., Mathivanan, Suresh, Moritz, Robert L., Zhu, Hong-Jian, Simpson, Richard J.
Format Journal Article
LanguageEnglish
Published Weinheim WILEY-VCH Verlag 01.04.2011
WILEY‐VCH Verlag
Wiley-VCH
Wiley Subscription Services, Inc
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Plasma membrane (PM) proteins are attractive therapeutic targets because of their accessibility to drugs. Although genes encoding PM proteins represent 20–30% of eukaryotic genomes, a detailed characterisation of their encoded proteins is underrepresented, due, to their low copy number and the inherent difficulties in their isolation and purification as a consequence of their high hydrophobicity. We describe here a strategy that combines two orthogonal methods to isolate and purify PM proteins from Madin Darby canine kidney (MDCK) cells. In this two‐step method, we first used cationic colloidal silica (CCS) to isolate adherent (Ad) and non‐adherent (nAd) PM fractions, and then subjected each fraction to Triton X‐114 (TX‐114) phase partitioning to further enrich for hydrophobic proteins. While CCS alone identified 255/757 (34%) membrane proteins, CCS/TX‐114 in combination yielded 453/745 (61%). Strikingly, of those proteins unique to CCS/TX‐114, 277/393 (70%) had membrane annotation. Further characterisation of the CCS/TX‐114 data set using Uniprot and transmembrane hidden Markov model revealed that 306/745 (41%) contained one or more transmembrane domains (TMDs), including proteins with 25 and 17 TMDs. Of the remaining proteins in the data set, 69/439 (16%) are known to contain lipid modifications. Of all membrane proteins identified, 93 had PM origin, including proteins that mediate cell adhesion, modulate transmembrane ion transport, and cell–cell communication. These studies reveal that the application of CCS to first isolate Ad and nAd PM fractions, followed by their detergent‐phase TX‐114 partitioning, to be a powerful method to isolate low‐abundance PM proteins, and a useful adjunct for in‐depth cell surface proteome analyses.
Bibliography:National Health and Medical Research Council of Australia - No. ♯487922; No. ♯280913; No. ♯433619
Australian Proteomics Computational Facility
Australian Cancer Research Foundation
ark:/67375/WNG-G4LH9S8W-5
ArticleID:PMIC201000591
Colour Online: See the article online to view Figs. 1-4 in colour.
National Health and Medical Research Council of Australia - No. ♯381413
Operational Infrastructure Support Program provided by the Victorian Government Australia
University of Melbourne International Research Scholarship
Australian Government Endeavour International Postgraduate Research Scholarship
istex:D3B75C67FC0FFC987B9CDA8BA762A886A4AA5B5F
in colour.
See the article online to view Figs.
1–4
Colour Online
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ObjectType-Article-2
ObjectType-Feature-1
ISSN:1615-9853
1615-9861
1615-9861
DOI:10.1002/pmic.201000591