The Human Protein Atlas: A tool for pathology
2008 (English)In: Journal of Pathology, Vol. 216, no 4, 387-393 p.Article in journal (Refereed) Published
Tissue-based diagnostics and research is incessantly evolving with the development of new molecular tools. It has long been realized that immunohistochemistry can add an important new level of information on top of morphology and that protein expression patterns in a cancer may yield crucial diagnostic and prognostic information. We have generated an immunohistochemistry-based map of protein expression profiles in normal tissues, cancer and cell lines. For each antibody, altogether 708 spots of tissues and cells are analysed and the resulting images and data are presented as freely available in the Human Protein Atlas (www.proteinatlas.org). The new version 4 of the atlas, including more than 5 million images of immunohistochemically stained tissues and cells, is based on 6122 antibodies, representing 5011 human proteins encoded by approximately 25% of the human genome. The gene-centric database includes a putative classification of proteins in various protein classes, both functional classes, such as kinases or transcription factors and project-related classes, such as candidate genes for cancer or cardiovascular diseases. For each of the internally generated antibodies, the exact antigen sequence is presented, together with a visualization of application-specific validation data, including a protein array assay, western blot analysis, immunohistochemistry and, in most cases, immunofluorescent-based confocal microscopy. The updated version also includes new search algorithms to allow complex queries regarding expression profiles, protein classes and chromosome location. Thus, the presented Human Protein Atlas provides a resource for pathology-based biomedical research, including protein science and biomarker discovery.
Place, publisher, year, edition, pages
2008. Vol. 216, no 4, 387-393 p.
Antibody, Atlas, Biomarker, Immunohistochemistry, Protein, Proteome, Translational research, antigen, biological marker, phosphotransferase, transcription factor, cancer cell culture, cardiovascular disease, chromosome, confocal microscopy, diagnostic procedure, gene location, gene sequence, genome, human, immunofluorescence, microarray analysis, neoplasm, priority journal, protein expression, proteomics, review, validation study, Databases, Protein, Genome, Human, Humans, Pathology
Cancer and Oncology
IdentifiersURN: urn:nbn:se:kth:diva-154188DOI: 10.1002/path.2440ISI: 000261509200001PubMedID: 18853439ScopusID: 2-s2.0-57149110826OAI: oai:DiVA.org:kth-154188DiVA: diva2:755605
QC 201410152014-10-152014-10-142014-10-16Bibliographically approved