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  In Vivo SILAC-Based Proteomics Reveals Phosphoproteome Changes during Mouse Skin Carcinogenesis

Zanivan, S., Meves, A., Behrendt, K., Schoof, E. M., Neilson, L. J., Cox, J., et al. (2013). In Vivo SILAC-Based Proteomics Reveals Phosphoproteome Changes during Mouse Skin Carcinogenesis. CELL REPORTS, 3(2), 552-566. doi:10.1016/j.celrep.2013.01.003.

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 Creators:
Zanivan, Sara1, Author              
Meves, Alexander2, Author              
Behrendt, Kristina3, Author
Schoof, Erwin M.3, Author
Neilson, Lisa J.3, Author
Cox, Juergen1, Author              
Tang, Hao R.3, Author
Kalna, Gabriela3, Author
van Ree, Janine H.3, Author
van Deursen, Jan M.3, Author
Trempus, Carol S.3, Author
Machesky, Laura M.3, Author
Linding, Rune3, Author
Wickstroem, Sara A.3, Author
Faessler, Reinhard2, Author              
Mann, Matthias1, Author              
Affiliations:
1Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565159              
2Fässler, Reinhard / Molecular Medicine, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565147              
3external, ou_persistent22              

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Free keywords: SQUAMOUS-CELL CARCINOMA; RESOLUTION MASS-SPECTROMETRY; GENE-EXPRESSION; QUANTITATIVE PROTEOMICS; FEEDBACK PHOSPHORYLATION; RETINOBLASTOMA PROTEIN; RETINOIC ACID; AMINO-ACIDS; CANCER; PROGRESSION
 Abstract: Cancer progresses through distinct stages, and mouse models recapitulating traits of this progression are frequently used to explore genetic, morphological, and pharmacological aspects of tumor development. To complement genomic investigations of this process, we here quantify phosphoproteomic changes in skin cancer development using the SILAC mouse technology coupled to high-resolution mass spectrometry. We distill protein expression signatures from our data that distinguish between skin cancer stages. A distinct phosphoproteome of the two stages of cancer progression is identified that correlates with perturbed cell growth and implicates cell adhesion as a major driver of malignancy. Importantly, integrated analysis of phosphoproteomic data and prediction of kinase activity revealed PAK4-PKC/SRC network to be highly deregulated in SCC but not in papilloma. This detailed molecular picture, both at the proteome and phosphoproteome level, will prove useful for the study of mechanisms of tumor progression.

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Language(s): eng - English
 Dates: 2013-02
 Publication Status: Published in print
 Pages: 15
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: CELL REPORTS
Source Genre: Journal
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Publ. Info: 600 TECHNOLOGY SQUARE, 5TH FLOOR, CAMBRIDGE, MA 02139 USA : CELL PRESS
Pages: - Volume / Issue: 3 (2) Sequence Number: - Start / End Page: 552 - 566 Identifier: ISSN: 2211-1247