Unknown

Dataset Information

0

Comparative Secretome Profiling and Mutant Protein Identification in Metastatic Prostate Cancer Cells by Quantitative Mass Spectrometry-based Proteomics.


ABSTRACT: BACKGROUND:Secreted proteins play an important role in promoting cancer (PCa) cell migration and invasion. Proteogenomics helps elucidate the mechanism of diseases, discover therapeutic targets, and generate biomarkers for diagnosis through protein variations. MATERIALS AND METHODS:We carried out mass a spectrometry-based proteomic analysis of the conditioned media (CM) from two human prostate cancer cell lines, belonging to different metastatic sites, to identify potential metastatic and/or aggressive factors. RESULTS:We identified a total of 598 proteins, among which 561 were quantified based on proteomic analysis. Among the quantified proteins, 128 were up-regulated and 83 were down-regulated in DU145/PC3 cells. Six mutant peptides were identified in the CM of prostate cancer cell lines using proteogenomics approach. CONCLUSION:This is the first proteogenomics study in PCa aiming at exploring a new type of metastatic factor, which are mutant peptides, predicting a novel biomarker of metastatic PCa for diagnosis, prognosis and drug targeting.

SUBMITTER: Kwon OK 

PROVIDER: S-EPMC6070709 | biostudies-literature | 2018 Jul-Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

Comparative Secretome Profiling and Mutant Protein Identification in Metastatic Prostate Cancer Cells by Quantitative Mass Spectrometry-based Proteomics.

Kwon Oh Kwang OK   Jeon Ju Mi JM   Sung Eunji E   Na Ann-Yea AY   Kim Sun Joo SJ   Lee Sangkyu S  

Cancer genomics & proteomics 20180701 4


<h4>Background</h4>Secreted proteins play an important role in promoting cancer (PCa) cell migration and invasion. Proteogenomics helps elucidate the mechanism of diseases, discover therapeutic targets, and generate biomarkers for diagnosis through protein variations.<h4>Materials and methods</h4>We carried out mass a spectrometry-based proteomic analysis of the conditioned media (CM) from two human prostate cancer cell lines, belonging to different metastatic sites, to identify potential metast  ...[more]

Similar Datasets

| S-EPMC5557563 | biostudies-literature
| S-EPMC5674010 | biostudies-literature
2005-09-20 | GSE2744 | GEO
| S-EPMC5291777 | biostudies-literature
| EGAC00001002236 | EGA
| S-EPMC5799042 | biostudies-literature
| S-EPMC4423236 | biostudies-literature
| S-EPMC3509211 | biostudies-literature
2018-12-14 | GSE118974 | GEO