2011
DOI: 10.1186/1752-0509-5-96
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Proteomic patterns of cervical cancer cell lines, a network perspective

Abstract: BackgroundCervical cancer is a major mortality factor in the female population. This neoplastic is an excellent model for studying the mechanisms involved in cancer maintenance, because the Human Papilloma Virus (HPV) is the etiology factor in most cases. With the purpose of characterizing the effects of malignant transformation in cellular activity, proteomic studies constitute a reliable way to monitor the biological alterations induced by this disease. In this contextual scheme, a systemic description that … Show more

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Cited by 55 publications
(46 citation statements)
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“…Gels were dyed in colloidal Coomassie [84] and scanned in a GS-800 densitometer (Bio-Rad Laboratories, CA). Digital images were analyzed and compared using the PDQuest 8.0.1 software from the same company.…”
Section: Methodsmentioning
confidence: 99%
“…Gels were dyed in colloidal Coomassie [84] and scanned in a GS-800 densitometer (Bio-Rad Laboratories, CA). Digital images were analyzed and compared using the PDQuest 8.0.1 software from the same company.…”
Section: Methodsmentioning
confidence: 99%
“…In the case of 14-3-3, the protein has been reported to be overexpressed in a variety of human cancers (35,36,42,43), including cervical cancer (44), and the ablation of 14-3-3 expression in such cells has been proposed as a potential therapeutic option for some tumor types (32,43). While the modes of action of 14-3-3 are diverse and affect multiple signaling pathways, a common theme is the ability to recognize phosphorylated substrates and thereby directly modulate their respective modes of action.…”
Section: Discussionmentioning
confidence: 99%
“…While this problem can exist with any pathway analysis, Gene Ontology (GO) annotations are particularly susceptible due to the database’s large, hierarchical structure [27]. Some studies have restricted analysis of GO terms to certain levels in the hierarchy [13, 28], while a new Bayesian method incorporates the structure of the hierarchy as prior information into its pathway association metric [29]. However, users of these approaches should be aware that the information content at particular GO levels is unpredictable [30].…”
Section: Preparing Data For Association Testingmentioning
confidence: 99%