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Analysis and Prediction of Pathways in HeLa Cells by Integrating Biological Levels of Organization with Systems-Biology Approaches

It has recently begun to be considered that cancer is a systemic disease and that it must be studied at every level of complexity using many of the currently available approaches, including high-throughput technologies and bioinformatics. To achieve such understanding in cervical cancer, we collecte...

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Autores principales: Higareda-Almaraz, Juan Carlos, Valtierra-Gutiérrez, Ilse A., Hernandez-Ortiz, Magdalena, Contreras, Sandra, Hernandez, Erika, Encarnacion, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680226/
https://www.ncbi.nlm.nih.gov/pubmed/23785426
http://dx.doi.org/10.1371/journal.pone.0065433
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author Higareda-Almaraz, Juan Carlos
Valtierra-Gutiérrez, Ilse A.
Hernandez-Ortiz, Magdalena
Contreras, Sandra
Hernandez, Erika
Encarnacion, Sergio
author_facet Higareda-Almaraz, Juan Carlos
Valtierra-Gutiérrez, Ilse A.
Hernandez-Ortiz, Magdalena
Contreras, Sandra
Hernandez, Erika
Encarnacion, Sergio
author_sort Higareda-Almaraz, Juan Carlos
collection PubMed
description It has recently begun to be considered that cancer is a systemic disease and that it must be studied at every level of complexity using many of the currently available approaches, including high-throughput technologies and bioinformatics. To achieve such understanding in cervical cancer, we collected information on gene, protein and phosphoprotein expression of the HeLa cell line and performed a comprehensive analysis of the different signaling pathways, transcription networks and metabolic events in which they participate. A total expression analysis by RNA-Seq of the HeLa cell line showed that 19,974 genes were transcribed. Of these, 3,360 were over-expressed, and 2,129 under-expressed when compared to the NHEK cell line. A protein-protein interaction network was derived from the over-expressed genes and used to identify central elements and, together with the analysis of over-represented transcription factor motifs, to predict active signaling and regulatory pathways. This was further validated by Metal-Oxide Affinity Chromatography (MOAC) and Tandem Mass Spectrometry (MS/MS) assays which retrieved phosphorylated proteins. The 14-3-3 family members emerge as important regulators in carcinogenesis and as possible clinical targets. We observed that the different over- and under-regulated pathways in cervical cancer could be interrelated through elements that participate in crosstalks, therefore belong to what we term “meta-pathways”. Additionally, we highlighted the relations of each one of the differentially represented pathways to one or more of the ten hallmarks of cancer. These features could be maintained in many other types of cancer, regardless of mutations or genomic rearrangements, and favor their robustness, adaptations and the evasion of tissue control. Probably, this could explain why cancer cells are not eliminated by selective pressure and why therapy trials directed against molecular targets are not as effective as expected.
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spelling pubmed-36802262013-06-19 Analysis and Prediction of Pathways in HeLa Cells by Integrating Biological Levels of Organization with Systems-Biology Approaches Higareda-Almaraz, Juan Carlos Valtierra-Gutiérrez, Ilse A. Hernandez-Ortiz, Magdalena Contreras, Sandra Hernandez, Erika Encarnacion, Sergio PLoS One Research Article It has recently begun to be considered that cancer is a systemic disease and that it must be studied at every level of complexity using many of the currently available approaches, including high-throughput technologies and bioinformatics. To achieve such understanding in cervical cancer, we collected information on gene, protein and phosphoprotein expression of the HeLa cell line and performed a comprehensive analysis of the different signaling pathways, transcription networks and metabolic events in which they participate. A total expression analysis by RNA-Seq of the HeLa cell line showed that 19,974 genes were transcribed. Of these, 3,360 were over-expressed, and 2,129 under-expressed when compared to the NHEK cell line. A protein-protein interaction network was derived from the over-expressed genes and used to identify central elements and, together with the analysis of over-represented transcription factor motifs, to predict active signaling and regulatory pathways. This was further validated by Metal-Oxide Affinity Chromatography (MOAC) and Tandem Mass Spectrometry (MS/MS) assays which retrieved phosphorylated proteins. The 14-3-3 family members emerge as important regulators in carcinogenesis and as possible clinical targets. We observed that the different over- and under-regulated pathways in cervical cancer could be interrelated through elements that participate in crosstalks, therefore belong to what we term “meta-pathways”. Additionally, we highlighted the relations of each one of the differentially represented pathways to one or more of the ten hallmarks of cancer. These features could be maintained in many other types of cancer, regardless of mutations or genomic rearrangements, and favor their robustness, adaptations and the evasion of tissue control. Probably, this could explain why cancer cells are not eliminated by selective pressure and why therapy trials directed against molecular targets are not as effective as expected. Public Library of Science 2013-06-10 /pmc/articles/PMC3680226/ /pubmed/23785426 http://dx.doi.org/10.1371/journal.pone.0065433 Text en © 2013 Higareda-Almaraz et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Higareda-Almaraz, Juan Carlos
Valtierra-Gutiérrez, Ilse A.
Hernandez-Ortiz, Magdalena
Contreras, Sandra
Hernandez, Erika
Encarnacion, Sergio
Analysis and Prediction of Pathways in HeLa Cells by Integrating Biological Levels of Organization with Systems-Biology Approaches
title Analysis and Prediction of Pathways in HeLa Cells by Integrating Biological Levels of Organization with Systems-Biology Approaches
title_full Analysis and Prediction of Pathways in HeLa Cells by Integrating Biological Levels of Organization with Systems-Biology Approaches
title_fullStr Analysis and Prediction of Pathways in HeLa Cells by Integrating Biological Levels of Organization with Systems-Biology Approaches
title_full_unstemmed Analysis and Prediction of Pathways in HeLa Cells by Integrating Biological Levels of Organization with Systems-Biology Approaches
title_short Analysis and Prediction of Pathways in HeLa Cells by Integrating Biological Levels of Organization with Systems-Biology Approaches
title_sort analysis and prediction of pathways in hela cells by integrating biological levels of organization with systems-biology approaches
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680226/
https://www.ncbi.nlm.nih.gov/pubmed/23785426
http://dx.doi.org/10.1371/journal.pone.0065433
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