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Quantification of mutant SPOP proteins in prostate cancer using mass spectrometry-based targeted proteomics.

cris.virtualsource.author-orcided4d4372-d248-4a7d-b76c-5a104bd1af2d
datacite.rightsopen.access
dc.contributor.authorWang, Hui
dc.contributor.authorBarbieri, Christopher E
dc.contributor.authorHe, Jintang
dc.contributor.authorGao, Yuqian
dc.contributor.authorShi, Tujin
dc.contributor.authorWu, Chaochao
dc.contributor.authorSchepmoes, Athena A
dc.contributor.authorFillmore, Thomas L
dc.contributor.authorChae, Sung-Suk
dc.contributor.authorHuang, Dennis
dc.contributor.authorMosquera, Juan Miguel
dc.contributor.authorQian, Wei-Jun
dc.contributor.authorSmith, Richard D
dc.contributor.authorSrivastava, Sudhir
dc.contributor.authorKagan, Jacob
dc.contributor.authorCamp, David G
dc.contributor.authorRodland, Karin D
dc.contributor.authorRubin, Mark Andrew
dc.contributor.authorLiu, Tao
dc.date.accessioned2024-10-25T13:48:14Z
dc.date.available2024-10-25T13:48:14Z
dc.date.issued2017-08-15
dc.description.abstractBACKGROUND Speckle-type POZ protein (SPOP) is an E3 ubiquitin ligase adaptor protein that functions as a potential tumor suppressor, and SPOP mutations have been identified in ~10% of human prostate cancers. However, it remains unclear if mutant SPOP proteins can be utilized as biomarkers for early detection, diagnosis, prognosis or targeted therapy of prostate cancer. Moreover, the SPOP mutation sites are distributed in a relatively short region with multiple lysine residues, posing significant challenges for bottom-up proteomics analysis of the SPOP mutations. METHODS To address this issue, PRISM (high-pressure, high-resolution separations coupled with intelligent selection and multiplexing)-SRM (selected reaction monitoring) mass spectrometry assays have been developed for quantifying wild-type SPOP protein and 11 prostate cancer-derived SPOP mutations. RESULTS Despite inherent limitations due to amino acid sequence constraints, all the PRISM-SRM assays developed using Arg-C digestion showed a linear dynamic range of at least two orders of magnitude, with limits of quantification ranged from 0.1 to 1 fmol/μg of total protein in the cell lysate. Applying these SRM assays to analyze HEK293T cells with and without expression of the three most frequent SPOP mutations in prostate cancer (Y87N, F102C or F133V) led to confident detection of all three SPOP mutations in corresponding positive cell lines but not in the negative cell lines. Expression of the F133V mutation and wild-type SPOP was at much lower levels compared to that of F102C and Y87N mutations; however, at present, it is unknown if this also affects the biological activity of the SPOP protein. CONCLUSIONS In summary, PRISM-SRM enables multiplexed, isoform-specific detection of mutant SPOP proteins in cell lysates, providing significant potential in biomarker development for prostate cancer.
dc.description.sponsorshipDepartment for BioMedical Research, Forschungsgruppe Präzisionsonkologie
dc.identifier.doi10.7892/boris.110759
dc.identifier.pmid28810879
dc.identifier.publisherDOI10.1186/s12967-017-1276-7
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/158019
dc.language.isoen
dc.publisherBioMed Central
dc.relation.ispartofJournal of translational medicine
dc.relation.issn1479-5876
dc.relation.organization4E745CF42DBF6EC0E053960C5C82F4E9
dc.subjectBiomarker Mass spectrometry PRISM-SRM Prostate cancer SPOP mutation Targeted proteomics
dc.subject.ddc500 - Science
dc.subject.ddc500 - Science::570 - Life sciences; biology
dc.titleQuantification of mutant SPOP proteins in prostate cancer using mass spectrometry-based targeted proteomics.
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.issue1
oaire.citation.startPage175
oaire.citation.volume15
oairecerif.author.affiliationDepartment for BioMedical Research, Forschungsgruppe Präzisionsonkologie
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unibe.date.licenseChanged2019-10-26 21:29:18
unibe.description.ispublishedpub
unibe.eprints.legacyId110759
unibe.journal.abbrevTitleJ TRANSL MED
unibe.refereedtrue
unibe.subtype.articlejournal

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