Literature DB >> 28647699

Proteomic Analysis of Normal and Cancer Cervical Cell Lines Reveals Deregulation of Cytoskeleton-associated Proteins.

Kalliopi I Pappa1,2, Vasiliki Lygirou3,4, Georgia Kontostathi3,4, Jerome Zoidakis3, Manousos Makridakis3, Konstantinos Vougas3, George Daskalakis5, Alexander Polyzos6, Nicholas P Anagnou2,4.   

Abstract

BACKGROUND: Both HPV-positive and -negative cervical cancers are primarily associated with features of cell cycle and cytoskeletal disruption; however, the actual biological processes affected remain elusive. To this end, we systematically characterized the intracellular proteomic profiles of four distinct and informative cervical cell lines.
MATERIALS AND METHODS: Cell extracts from a normal cervical (HCK1T) and three cervical cancer cell lines, one HPV-negative (C33A), and two HPV-positive, SiHa (HPV16+) and HeLa (HPV18+), were analyzed by 2-dimensional electrophoresis and differentially expressed proteins were identified by MALDI-TOF mass spectrometry, while differential expression was confirmed by western blot analysis.
RESULTS: In total, 113 proteins were found differentially expressed between the normal and the cervical cancer lines. Bioinformatics analysis revealed the actin cytoskeleton signaling pathway to be significantly affected, while up-regulation of cofilin-1, an actin depolymerizing factor, was documented and further validated by western blotting. Furthermore, two-way comparisons among the four cell lines, revealed a set of 18 informative differentially expressed proteins.
CONCLUSION: These novel identified proteins provide the impetus for further functional studies to dissect the mechanisms operating in the two distinct pathways of cervical carcinogenesis. Copyright
© 2017, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  2-DE; Cervical cancer; Cervical cell lines; Cofilin-1; HCK1T cell line; Proteomics

Mesh:

Substances:

Year:  2017        PMID: 28647699      PMCID: PMC5572303          DOI: 10.21873/cgp.20036

Source DB:  PubMed          Journal:  Cancer Genomics Proteomics        ISSN: 1109-6535            Impact factor:   4.069


  50 in total

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