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The correlation between cellular size and protein expression levels--normalization for global protein profiling.

Abstract：

:An automated image analysis system was used for protein quantification of 1862 human proteins in 47 cancer cell lines and 12 clinical cell samples using cell microarrays and immunohistochemistry. The analysis suggests that most proteins are expressed in a cell size dependent manner, and that normalization is required for comparative protein quantification in order to correct for the inherent bias of cell size and systematic ambiguities associated with immunohistochemistry. Two reference standards were evaluated, and normalized protein expression values were found to allow for protein profiling across a panel of morphologically diverse cells, revealing putative patterns of over- and underexpression. Using this approach, proteins with stable expression as well as cell-line specific expression were identified. The results demonstrate the value of large-scale, automated proteome analysis using immunohistochemistry, in revealing functional correlations and establishing methods to interpret and mine proteomic data.

journal_name

J Proteomics

journal_title

Journal of proteomics

authors

Lundberg E,Gry M,Oksvold P,Kononen J,Andersson-Svahn H,Pontén F,Uhlén M,Asplund A

doi

10.1016/j.jprot.2008.06.014

subject

Has Abstract

pub_date

2008-10-07 00:00:00

pages

448-60

issue

4

eissn

1874-3919

issn

1876-7737

pii

S1874-3919(08)00103-6

journal_volume

71

pub_type

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