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Antibody-based tissue profiling as a tool for clinical proteomics
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2004 (English)In: Clinical Proteomics, Vol. 1, no 3-4, 285-299 p.Article in journal (Refereed) Published
Abstract [en]

Here, we show a strategy for high-throughput antibody-based tissue profiling with the aim to create an atlas of protein expression patterns in normal human tissues and cancer tissues representing the 20 most prevalent cancer types. A set of standardized tissue microarrays (TMAs) was produced to allow for rapid screening of a multitude of different cells and tissues using immunohistochemistry. Eight TMA blocks were produced containing 48 different normal human tissues in triplicate and cancer tissue from 216 individually different tumors in duplicate. Sections from these blocks were immunohistochemically stained using five commercial and five in-house generated antibodies. Digital images for annotation of expression profiles were generated using a semiautomated approach. Five hundred seventy-six images and annotation data corresponding to a total of 30 Gbytes of data were collected for each antibody. The data presented here suggest that antibody-based profiling of protein expression in tissues can be used as a valuable tool in clinical proteomics.

Place, publisher, year, edition, pages
2004. Vol. 1, no 3-4, 285-299 p.
Keyword [en]
Antibody-based proteomics, Monospecific antibodies, Protein atlas, Protein epitope signature tags, Tissue microarray, CD34 antigen, cyclin A, cytokeratin 14, dyskerin, epidermal growth factor receptor 2, G protein coupled receptor, glial fibrillary acidic protein, polyadenylic acid binding protein, protein antibody, zinc finger protein, article, cancer tissue, cell screening, human, human tissue, immunohistochemistry, nucleotide sequence, priority journal, protein expression, proteomics, staining, tumor
National Category
Cell Biology
URN: urn:nbn:se:kth:diva-157422DOI: 10.1385/CP:1:3-4:285ScopusID: 2-s2.0-24644451489OAI: diva2:771613

QC 20141215

Available from: 2014-12-15 Created: 2014-12-09 Last updated: 2014-12-15Bibliographically approved

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Uhlen, Mathias
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Cell Biology

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