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/6531203
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资源简介:
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



