Quantitative Proteomics of TRAMP Mice Combined with Bioinformatics Analysis Reveals That PDGF‑B Regulatory Network Plays a Key Role in Prostate Cancer Progression
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https://figshare.com/articles/dataset/Quantitative_Proteomics_of_TRAMP_Mice_Combined_with_Bioinformatics_Analysis_Reveals_That_PDGF_B_Regulatory_Network_Plays_a_Key_Role_in_Prostate_Cancer_Progression/6531212
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Transgenic adenocarcinoma of the mouse prostate (TRAMP) mice is a widely used transgenic animal model of prostate cancer (PCa). We performed a label-free quantitative proteomics analysis combined with a bioinformatics analysis on the entire prostate protein extraction from TRAMP mice and compared it with WT littermates. From 2379 total identified proteins, we presented a modest mice prostate reference proteome containing 919 proteins. 61 proteins presented a significant expression difference between two groups. The integrative bioinformatics analysis predicted the overexpression of platelet-derived growth factor B (PDGF-B) in tumor tissues and supports the hypothesis of the PDGF-B signaling network as a key upstream regulator in PCa progression. Furthermore, we demonstrated that Crenolanib, a novel PDGF receptor inhibitor, inhibited PCa cell proliferation in a dose-dependent manner. Finally, we revealed the importance of PDGF-B regulatory network in PCa progression, which will assist us in understanding the role and mechanisms of PDGF-B in promoting cancer growth and provide valuable knowledge for future research on anti-PDGF therapy.
创建时间:
2018-06-14



