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The correlation between cellular size and protein expression levels--normalization for global protein profiling
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2008 (English)In: Journal of proteomics, ISSN 1874-3919, Vol. 71, no 4, 448-460 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2008. Vol. 71, no 4, 448-460 p.
Keyword [en]
Immunohistochemistry, Protein quantification, Normalization, Expression profiling
National Category
Medical and Health Sciences
URN: urn:nbn:se:uu:diva-122501DOI: 10.1016/j.jprot.2008.06.014ISI: 000260816700005PubMedID: 18656560OAI: oai:DiVA.org:uu-122501DiVA: diva2:310279
Available from: 2010-04-13 Created: 2010-04-13 Last updated: 2010-05-31Bibliographically approved

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