Kalliopi I Pappa1,2, Georgia Kontostathi3,4, Manousos Makridakis3, Vasiliki Lygirou3,4, Jerome Zoidakis3, George Daskalakis2, Nicholas P Anagnou5,4. 1. Cell and Gene Therapy Laboratory, Centre of Basic Research II, Biomedical Research Foundation of the Academy of Athens (BRFAA), Athens, Greece kalliopi.pappa20@gmail.com. 2. First Department of Obstetrics and Gynecology, University of Athens School of Medicine, Alexandra Hospital, Athens, Greece. 3. Biotechnology Division, Centre of Basic Research, Biomedical Research Foundation of the Academy of Athens (BRFAA), Athens, Greece. 4. Laboratory of Biology, University of Athens School of Medicine, Athens, Greece. 5. Cell and Gene Therapy Laboratory, Centre of Basic Research II, Biomedical Research Foundation of the Academy of Athens (BRFAA), Athens, Greece.
Abstract
BACKGROUND: Oncogenic infection by HPV, eventually leads to cervical carcinogenesis, associated by deregulation of specific pathways and protein expression at the intracellular and secretome level. Thus, secretome analysis can elucidate the biological mechanisms contributing to cervical cancer. In the present study we systematically analyzed its constitution in four cervical cell lines employing a highly sensitive proteomic technology coupled with bioinformatics analysis. MATERIALS AND METHODS: LC/MS-MS proteomics and bioinformatics analysis were performed in the secretome of four informative cervical cell lines SiHa (HPV16+), HeLa (HPV18+), C33A (HPV-) and HCK1T (normal). RESULTS: The proteomic pattern of each cancer cell line compared to HCK1T was identified and a detailed bioinformatics analysis disclosed inhibition of matrix metalloproteases in cancer cell lines. This prediction was further confirmed via zymography for MMP-2 and MMP-9, western blot analysis for ADAM10 and by MRM for TIMP1. The differential expression of important secreted proteins such as CATD, FUCA1 and SOD2 was also confirmed by western blot analysis. MRM-targeted proteomics analysis confirmed the differential expression of CATD, CATB, SOD2, QPCT and NEU1. CONCLUSION: High resolution proteomics analysis of cervical cancer secretome revealed significantly deregulated biological processes and proteins implicated in cervical carcinogenesis. Copyright
BACKGROUND:Oncogenic infection by HPV, eventually leads to cervical carcinogenesis, associated by deregulation of specific pathways and protein expression at the intracellular and secretome level. Thus, secretome analysis can elucidate the biological mechanisms contributing to cervical cancer. In the present study we systematically analyzed its constitution in four cervical cell lines employing a highly sensitive proteomic technology coupled with bioinformatics analysis. MATERIALS AND METHODS: LC/MS-MS proteomics and bioinformatics analysis were performed in the secretome of four informative cervical cell lines SiHa (HPV16+), HeLa (HPV18+), C33A (HPV-) and HCK1T (normal). RESULTS: The proteomic pattern of each cancer cell line compared to HCK1T was identified and a detailed bioinformatics analysis disclosed inhibition of matrix metalloproteases in cancer cell lines. This prediction was further confirmed via zymography for MMP-2 and MMP-9, western blot analysis for ADAM10 and by MRM for TIMP1. The differential expression of important secreted proteins such as CATD, FUCA1 and SOD2 was also confirmed by western blot analysis. MRM-targeted proteomics analysis confirmed the differential expression of CATD, CATB, SOD2, QPCT and NEU1. CONCLUSION: High resolution proteomics analysis of cervical cancer secretome revealed significantly deregulated biological processes and proteins implicated in cervical carcinogenesis. Copyright
Authors: Manousos Makridakis; Maria G Roubelakis; Vasiliki Bitsika; Veronica Dimuccio; Martina Samiotaki; Sophia Kossida; George Panayotou; Jonathan Coleman; Giovanni Candiano; Nikolaos P Anagnou; Antonia Vlahou Journal: J Proteome Res Date: 2010-06-04 Impact factor: 4.466
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