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  • 1
    Publication Date: 2015-01-24
    Description: Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Uhlen, Mathias -- Fagerberg, Linn -- Hallstrom, Bjorn M -- Lindskog, Cecilia -- Oksvold, Per -- Mardinoglu, Adil -- Sivertsson, Asa -- Kampf, Caroline -- Sjostedt, Evelina -- Asplund, Anna -- Olsson, IngMarie -- Edlund, Karolina -- Lundberg, Emma -- Navani, Sanjay -- Szigyarto, Cristina Al-Khalili -- Odeberg, Jacob -- Djureinovic, Dijana -- Takanen, Jenny Ottosson -- Hober, Sophia -- Alm, Tove -- Edqvist, Per-Henrik -- Berling, Holger -- Tegel, Hanna -- Mulder, Jan -- Rockberg, Johan -- Nilsson, Peter -- Schwenk, Jochen M -- Hamsten, Marica -- von Feilitzen, Kalle -- Forsberg, Mattias -- Persson, Lukas -- Johansson, Fredric -- Zwahlen, Martin -- von Heijne, Gunnar -- Nielsen, Jens -- Ponten, Fredrik -- New York, N.Y. -- Science. 2015 Jan 23;347(6220):1260419. doi: 10.1126/science.1260419.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Science for Life Laboratory, KTH-Royal Institute of Technology, SE-171 21 Stockholm, Sweden. Department of Proteomics, KTH-Royal Institute of Technology, SE-106 91 Stockholm, Sweden. Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2970 Horsholm, Denmark. mathias.uhlen@scilifelab.se. ; Science for Life Laboratory, KTH-Royal Institute of Technology, SE-171 21 Stockholm, Sweden. ; Science for Life Laboratory, KTH-Royal Institute of Technology, SE-171 21 Stockholm, Sweden. Department of Proteomics, KTH-Royal Institute of Technology, SE-106 91 Stockholm, Sweden. ; Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, SE-751 85 Uppsala, Sweden. ; Department of Chemical and Biological Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden. ; Science for Life Laboratory, KTH-Royal Institute of Technology, SE-171 21 Stockholm, Sweden. Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, SE-751 85 Uppsala, Sweden. ; Leibniz Research Centre for Working Environment and Human Factors (IfADo) at Dortmund TU, D-44139 Dortmund, Germany. ; Lab Surgpath, Mumbai, India. ; Department of Proteomics, KTH-Royal Institute of Technology, SE-106 91 Stockholm, Sweden. ; Science for Life Laboratory, Department of Neuroscience, Karolinska Institute, SE-171 77 Stockholm, Sweden. ; Center for Biomembrane Research, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden. ; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2970 Horsholm, Denmark. Department of Chemical and Biological Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25613900" target="_blank"〉PubMed〈/a〉
    Keywords: Alternative Splicing ; Cell Line ; *Databases, Protein ; Female ; Genes ; Genetic Code ; Humans ; Internet ; Male ; Membrane Proteins/genetics/metabolism ; Mitochondrial Proteins/genetics/metabolism ; Neoplasms/genetics/metabolism ; Protein Array Analysis ; Protein Isoforms/genetics/metabolism ; Proteome/genetics/*metabolism ; Tissue Distribution ; Transcription, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2019
    Description: 〈p〉The proteins secreted by human cells (collectively referred to as the secretome) are important not only for the basic understanding of human biology but also for the identification of potential targets for future diagnostics and therapies. Here, we present a comprehensive analysis of proteins predicted to be secreted in human cells, which provides information about their final localization in the human body, including the proteins actively secreted to peripheral blood. The analysis suggests that a large number of the proteins of the secretome are not secreted out of the cell, but instead are retained intracellularly, whereas another large group of proteins were identified that are predicted to be retained locally at the tissue of expression and not secreted into the blood. Proteins detected in the human blood by mass spectrometry–based proteomics and antibody-based immunoassays are also presented with estimates of their concentrations in the blood. The results are presented in an updated version 19 of the Human Protein Atlas in which each gene encoding a secretome protein is annotated to provide an open-access knowledge resource of the human secretome, including body-wide expression data, spatial localization data down to the single-cell and subcellular levels, and data about the presence of proteins that are detectable in the blood.〈/p〉
    Print ISSN: 1945-0877
    Electronic ISSN: 1937-9145
    Topics: Biology , Medicine
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  • 3
    Publication Date: 2019
    Description: 〈p〉Blood is the predominant source for molecular analyses in humans, both in clinical and research settings. It is the target for many therapeutic strategies, emphasizing the need for comprehensive molecular maps of the cells constituting human blood. In this study, we performed a genome-wide transcriptomic analysis of protein-coding genes in sorted blood immune cell populations to characterize the expression levels of each individual gene across the blood cell types. All data are presented in an interactive, open-access Blood Atlas as part of the Human Protein Atlas and are integrated with expression profiles across all major tissues to provide spatial classification of all protein-coding genes. This allows for a genome-wide exploration of the expression profiles across human immune cell populations and all major human tissues and organs.〈/p〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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