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

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

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BORIS DOI
10.7892/boris.110759
Date of Publication
August 15, 2017
Publication Type
Article
Division/Institute

Department for BioMed...

Contributor
Wang, Hui
Barbieri, Christopher E
He, Jintang
Gao, Yuqian
Shi, Tujin
Wu, Chaochao
Schepmoes, Athena A
Fillmore, Thomas L
Chae, Sung-Suk
Huang, Dennis
Mosquera, Juan Miguel
Qian, Wei-Jun
Smith, Richard D
Srivastava, Sudhir
Kagan, Jacob
Camp, David G
Rodland, Karin D
Rubin, Mark Andrew
Department for BioMedical Research, Forschungsgruppe Präzisionsonkologie
Liu, Tao
Subject(s)

500 - Science

500 - Science::570 - ...

Series
Journal of translational medicine
ISSN or ISBN (if monograph)
1479-5876
Publisher
BioMed Central
Language
English
Publisher DOI
10.1186/s12967-017-1276-7
PubMed ID
28810879
Uncontrolled Keywords

Biomarker Mass spectr...

Description
BACKGROUND

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.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/158019
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