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Proteogenomic integration reveals therapeutic targets in breast cancer xenografts

Recent advances in mass spectrometry (MS) have enabled extensive analysis of cancer proteomes. Here, we employed quantitative proteomics to profile protein expression across 24 breast cancer patient-derived xenograft (PDX) models. Integrated proteogenomic analysis shows positive correlation between...

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Bibliografiset tiedot
Julkaisussa:Nat Commun
Päätekijät: Huang, Kuan-lin, Li, Shunqiang, Mertins, Philipp, Cao, Song, Gunawardena, Harsha P., Ruggles, Kelly V., Mani, D. R., Clauser, Karl R., Tanioka, Maki, Usary, Jerry, Kavuri, Shyam M., Xie, Ling, Yoon, Christopher, Qiao, Jana W, Wrobel, John, Wyczalkowski, Matthew A., Erdmann-Gilmore, Petra, Snider, Jacqueline E., Hoog, Jeremy, Singh, Purba, Niu, Beifang, Guo, Zhanfang, Sun, Sam Qiancheng, Sanati, Souzan, Kawaler, Emily, Wang, Xuya, Scott, Adam, Ye, Kai, McLellan, Michael D., Wendl, Michael C., Malovannaya, Anna, Held, Jason M., Gillette, Michael A., Fenyö, David, Kinsinger, Christopher R., Mesri, Mehdi, Rodriguez, Henry, Davies, Sherri R., Perou, Charles M., Ma, Cynthia, Reid Townsend, R., Chen, Xian, Carr, Steven A., Ellis, Matthew J., Ding, Li
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Publishing Group 2017
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC5379071/
https://ncbi.nlm.nih.gov/pubmed/28348404
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ncomms14864
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