2015
DOI: 10.1126/science.1260419
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Tissue-based map of the human proteome

Abstract: 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 th… Show more

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Cited by 10,983 publications
(9,647 citation statements)
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References 52 publications
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“…As readout for oncogenic transformation we monitored clonal growth in 3D anchorage‐independent settings, which we have previously shown to correlate with in vivo tumor growth (Fig 1 b ) 25. In total, we have screened 13 secreted factors, of which seven factors passed the preselection criteria, including detectable expression of the cognate receptor as judged by RNAseq data (Human Protein Atlas http://www.proteinatlas.org) 33 and the ability to induce the activation of established downstream effectors (Supporting Information, Table S5). As positive control for the integrity of the screen, we monitored cellular transformation by concomitant epidermal growth factor (EGF) signaling and GLI1 expression, which we have previously shown to have potent synergistic transformation capacity (Fig 1 b′ ) 25.…”
Section: Resultsmentioning
confidence: 99%
“…As readout for oncogenic transformation we monitored clonal growth in 3D anchorage‐independent settings, which we have previously shown to correlate with in vivo tumor growth (Fig 1 b ) 25. In total, we have screened 13 secreted factors, of which seven factors passed the preselection criteria, including detectable expression of the cognate receptor as judged by RNAseq data (Human Protein Atlas http://www.proteinatlas.org) 33 and the ability to induce the activation of established downstream effectors (Supporting Information, Table S5). As positive control for the integrity of the screen, we monitored cellular transformation by concomitant epidermal growth factor (EGF) signaling and GLI1 expression, which we have previously shown to have potent synergistic transformation capacity (Fig 1 b′ ) 25.…”
Section: Resultsmentioning
confidence: 99%
“…These features were able to separate the advanced cancer sample population from non-cancer patient in either the cross-validation model or by un-supervised hierarchical cluster method. Interestingly, according to the information from The Human Protein Atlas database [4951], as shown in Table 1, the expression of over 70% of these features (43 out of 60) have been confirmed by immunohistochemistry on the breast cancer tissues slides, only 17 proteins are yet to be confirmed, partially because lacking of suitable antibodies, consistent to our expectation by screening the initial features from enriched plasma EVs with features from EVs generated by breast cancer cell lines. …”
Section: Discussionmentioning
confidence: 99%
“…The second filter is based on mRNA expression from the Human Protein Atlas 50,51,84 from the three methods (HPA, GTEx, FANTOM5), in the spleen and lymph node. Again, no obvious threshold emerged from these data.…”
Section: Methodsmentioning
confidence: 99%