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Bioinformatic Analysis of Circadian Expression of Oncogenes and Tumor Suppressor Genes

BACKGROUND: Circadian rhythms are physiological and behavioral cycles with a period of approximately 24 hours that control various functions including gene expression. Circadian disruption is associated with a variety of diseases, especially cancer. Although some of the oncogenes and tumor suppresso...

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Autores principales: Salavaty, Abbas, Mohammadi, Niloufar, Shahmoradi, Mozhdeh, Naderi Soorki, Maryam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734456/
https://www.ncbi.nlm.nih.gov/pubmed/29276378
http://dx.doi.org/10.1177/1177932217746991
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author Salavaty, Abbas
Mohammadi, Niloufar
Shahmoradi, Mozhdeh
Naderi Soorki, Maryam
author_facet Salavaty, Abbas
Mohammadi, Niloufar
Shahmoradi, Mozhdeh
Naderi Soorki, Maryam
author_sort Salavaty, Abbas
collection PubMed
description BACKGROUND: Circadian rhythms are physiological and behavioral cycles with a period of approximately 24 hours that control various functions including gene expression. Circadian disruption is associated with a variety of diseases, especially cancer. Although some of the oncogenes and tumor suppressor genes (TSGs) are known as clock-controlled genes (CCGs), the analysis and annotation of circadian expression of most human oncogenes and TSGs are still lacking. This study aims to investigate the circadian expression of a list of human oncogenes and TSGs. METHODS: A bioinformatic analysis was conducted on a gene library comprising 120 genes to investigate the circadian expression of human oncogenes and TSGs. To achieve this purpose, the genotranscriptomic data were retrieved from COSMIC and analyzed by R statistical software. Furthermore, the acquired data were analyzed at the transcriptomic and proteomic levels using several publicly available databases. Also, the significance of all analyses was confirmed statistically. RESULTS: Altogether, our results indicated that 7 human oncogenes/TSGs may be expressed and function in a circadian manner. These oncogenes/TSGs showed a circadian expression pattern at CircaDB database and associated with at least one of the circadian genes/CCGs based on both genotranscriptomic and correlation analyses. CONCLUSIONS: Although 4 of 7 finally outputted genes have been previously reported to be clock controlled, heretofore there is no report about the circadian expression of 3 other genes. Considering the importance of oncogenes/TSGs in the initiation and progression of cancer, further studies are suggested for the identification of exact circadian expression patterns of these 3 human oncogenes/TSGs.
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spelling pubmed-57344562017-12-22 Bioinformatic Analysis of Circadian Expression of Oncogenes and Tumor Suppressor Genes Salavaty, Abbas Mohammadi, Niloufar Shahmoradi, Mozhdeh Naderi Soorki, Maryam Bioinform Biol Insights Original Research BACKGROUND: Circadian rhythms are physiological and behavioral cycles with a period of approximately 24 hours that control various functions including gene expression. Circadian disruption is associated with a variety of diseases, especially cancer. Although some of the oncogenes and tumor suppressor genes (TSGs) are known as clock-controlled genes (CCGs), the analysis and annotation of circadian expression of most human oncogenes and TSGs are still lacking. This study aims to investigate the circadian expression of a list of human oncogenes and TSGs. METHODS: A bioinformatic analysis was conducted on a gene library comprising 120 genes to investigate the circadian expression of human oncogenes and TSGs. To achieve this purpose, the genotranscriptomic data were retrieved from COSMIC and analyzed by R statistical software. Furthermore, the acquired data were analyzed at the transcriptomic and proteomic levels using several publicly available databases. Also, the significance of all analyses was confirmed statistically. RESULTS: Altogether, our results indicated that 7 human oncogenes/TSGs may be expressed and function in a circadian manner. These oncogenes/TSGs showed a circadian expression pattern at CircaDB database and associated with at least one of the circadian genes/CCGs based on both genotranscriptomic and correlation analyses. CONCLUSIONS: Although 4 of 7 finally outputted genes have been previously reported to be clock controlled, heretofore there is no report about the circadian expression of 3 other genes. Considering the importance of oncogenes/TSGs in the initiation and progression of cancer, further studies are suggested for the identification of exact circadian expression patterns of these 3 human oncogenes/TSGs. SAGE Publications 2017-12-13 /pmc/articles/PMC5734456/ /pubmed/29276378 http://dx.doi.org/10.1177/1177932217746991 Text en © The Author(s) 2017 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Salavaty, Abbas
Mohammadi, Niloufar
Shahmoradi, Mozhdeh
Naderi Soorki, Maryam
Bioinformatic Analysis of Circadian Expression of Oncogenes and Tumor Suppressor Genes
title Bioinformatic Analysis of Circadian Expression of Oncogenes and Tumor Suppressor Genes
title_full Bioinformatic Analysis of Circadian Expression of Oncogenes and Tumor Suppressor Genes
title_fullStr Bioinformatic Analysis of Circadian Expression of Oncogenes and Tumor Suppressor Genes
title_full_unstemmed Bioinformatic Analysis of Circadian Expression of Oncogenes and Tumor Suppressor Genes
title_short Bioinformatic Analysis of Circadian Expression of Oncogenes and Tumor Suppressor Genes
title_sort bioinformatic analysis of circadian expression of oncogenes and tumor suppressor genes
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734456/
https://www.ncbi.nlm.nih.gov/pubmed/29276378
http://dx.doi.org/10.1177/1177932217746991
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