Proteomics Identification and Validation of Desmocollin-1 and Catechol-O-Methyltransferase as Proteins Associated with Breast Cancer Cell Migration and Metastasis

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Publikace nespadá pod Fakultu sportovních studií, ale pod Přírodovědeckou fakultu. Oficiální stránka publikace je na webu muni.cz.
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FAKTOR Jakub KNOPFOVÁ Lucia LAPČÍK Petr JANÁČOVÁ Lucia PÁRALOVÁ Vendula BOUCHALOVÁ Pavla MÜLLER Petr BENEŠ Petr BOUCHAL Pavel

Rok publikování 2019
Druh Článek v odborném periodiku
Časopis / Zdroj Proteomics
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www http://dx.doi.org/10.1002/pmic.201900073
Doi http://dx.doi.org/10.1002/pmic.201900073
Klíčová slova breast cancer; mass spectrometry; metastasis; sequential window acquisition of all theoretical; transmembrane proteins
Popis Biological treatment of many cancers currently targets membrane bound receptors located on a cell surface. To identify novel membrane proteins associated with migration and metastasis of breast cancer cells, a more migrating subpopulation of MDA-MB-231 breast cancer cell line is selected and characterized. A high-resolution quantitative mass spectrometry with SILAC labeling is applied to analyze their surfaceome and it is compared with that of parental MDA-MB-231 cells. Among 824 identified proteins (FDR < 0.01), 128 differentially abundant cell surface proteins with at least one transmembrane domain are found. Of these, i) desmocollin-1 (DSC1) is validated as a protein connected with lymph node status of luminal A breast cancer, tumor grade, and Her-2 status by immunohistochemistry in the set of 96 primary breast tumors, and ii) catechol-O-methyltransferase is successfully verified as a protein associated with lymph node metastasis of triple negative breast cancer as well as with tumor grade by targeted data extraction from the SWATH-MS data of the same set of tissues. The findings indicate importance of both proteins for breast cancer development and metastasis and highlight the potential of biomarker validation strategy via targeted data extraction from SWATH-MS datasets.
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