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A high‐throughput strategy for protein profiling in cell microarrays using automated image analysis
Author(s) -
Strömberg Sara,
Björklund Marcus Gry,
Asplund Caroline,
Sköllermo Anna,
Persson Anja,
Wester Kenneth,
Kampf Caroline,
Nilsson Peter,
Andersson AnnCatrin,
Uhlen Mathias,
Kon Juha,
Ponten Fredrik,
Asplund Anna
Publication year - 2007
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200700199
Subject(s) - tissue microarray , human protein atlas , immunohistochemistry , biology , computational biology , gene expression profiling , protein expression , gene expression , gene , immunology , genetics
Advances in antibody production render a growing supply of affinity reagents for immunohistochemistry (IHC), and tissue microarray (TMA) technologies facilitate simultaneous analysis of protein expression in a multitude of tissues. However, collecting validated IHC data remains a bottleneck problem, as the standard method is manual microscopical analysis. Here we present a high‐throughput strategy combining IHC on a recently developed cell microarray with a novel, automated image‐analysis application (TMAx). The software was evaluated on 200 digital images of IHC‐stained cell spots, by comparing TMAx annotation with manual annotation performed by seven human experts. A high concordance between automated and manual annotation of staining intensity and fraction of IHC‐positive cells was found. In a limited study, we also investigated the possibility to assess the correlation between mRNA and protein levels, by using TMAx output results for relative protein quantification and quantitative real‐time PCR for the quantification of corresponding transcript levels. In conclusion, automated analysis of immunohistochemically stained in vitro ‐cultured cells in a microarray format can be used for high‐throughput protein profiling, and extraction of RNA from the same cell lines provides a basis for comparing transcription and protein expression on a global scale.