Proteomic analysis of normal and cancer cervical cell lines reveals deregulation of cytoskeleton-associated proteins

39Citations
Citations of this article
64Readers
Mendeley users who have this article in their library.

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 HPVnegative (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, 133 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.

Cite

CITATION STYLE

APA

Pappá, K. I., Lygirou, V., Kontostathi, G., Zoidakis, J., Makridakis, M., Vougas, K., … Anagnou, N. P. (2017). Proteomic analysis of normal and cancer cervical cell lines reveals deregulation of cytoskeleton-associated proteins. Cancer Genomics and Proteomics, 14(4), 253–266. https://doi.org/10.21873/cgp.20036

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free