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Bioinformatics analysis of methylation in cervical adenocarcinoma in Xinjiang, China
This study is to investigate the genomic methylation in cervical adenocarcinoma in Xinjiang, China, using the DNA methylation analysis chips. Methylation of 5 cases of cervical adenocarcinoma tissues and 5 cases of normal cervical tissues were analyzed by the Illumina 850K methylation chip. The gene...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393078/ https://www.ncbi.nlm.nih.gov/pubmed/30170437 http://dx.doi.org/10.1097/MD.0000000000012108 |
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author | Yuan, Min Yuan, Jianlin Mei, Lipa Abulizi, Guzhalinuer |
author_facet | Yuan, Min Yuan, Jianlin Mei, Lipa Abulizi, Guzhalinuer |
author_sort | Yuan, Min |
collection | PubMed |
description | This study is to investigate the genomic methylation in cervical adenocarcinoma in Xinjiang, China, using the DNA methylation analysis chips. Methylation of 5 cases of cervical adenocarcinoma tissues and 5 cases of normal cervical tissues were analyzed by the Illumina 850K methylation chip. The genes with abnormal methylation modification were screened out and analyzed by the gene ontology (GO) functional annotation analysis. Enrichment analysis of kyoto encyclopedia of genes and genomes (KEGG) signal transduction pathways was also performed. Totally 4056 sites showed differential expression patterns in cervical adenocarcinoma tissues compared to normal cervical tissues, of which 3738 were hypermethylated, and 318 were hypomethylated. The distribution of these sites covered from the 1st to 22nd chromosomes. GO functional annotation analysis showed that the differentially expressed genes in cervical adenocarcinoma tissues were mainly involved in the processes of tumor growth, development, metabolism, ion transport, transcriptional regulation, cell division, cell cycle regulation, and signal transduction. KEGG signaling pathway analysis showed that the most significantly different signaling pathway was the neuroactive ligand–receptor interaction. Gene-net-work analysis suggested that CCND1, CTNNB1, MAPK10, and PRKCA were involved. Methylated genes are specifically expressed in cervical adenocarcinoma tissues in Xinjiang, China. Four of these genes (CCND1, CTNNB1, MAPK10, and PRKCA) with differential expression patterns may play important regulatory roles in cervical adenocarcinoma development through affecting the neuroactive ligand–receptor interaction. |
format | Online Article Text |
id | pubmed-6393078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-63930782019-03-15 Bioinformatics analysis of methylation in cervical adenocarcinoma in Xinjiang, China Yuan, Min Yuan, Jianlin Mei, Lipa Abulizi, Guzhalinuer Medicine (Baltimore) Research Article This study is to investigate the genomic methylation in cervical adenocarcinoma in Xinjiang, China, using the DNA methylation analysis chips. Methylation of 5 cases of cervical adenocarcinoma tissues and 5 cases of normal cervical tissues were analyzed by the Illumina 850K methylation chip. The genes with abnormal methylation modification were screened out and analyzed by the gene ontology (GO) functional annotation analysis. Enrichment analysis of kyoto encyclopedia of genes and genomes (KEGG) signal transduction pathways was also performed. Totally 4056 sites showed differential expression patterns in cervical adenocarcinoma tissues compared to normal cervical tissues, of which 3738 were hypermethylated, and 318 were hypomethylated. The distribution of these sites covered from the 1st to 22nd chromosomes. GO functional annotation analysis showed that the differentially expressed genes in cervical adenocarcinoma tissues were mainly involved in the processes of tumor growth, development, metabolism, ion transport, transcriptional regulation, cell division, cell cycle regulation, and signal transduction. KEGG signaling pathway analysis showed that the most significantly different signaling pathway was the neuroactive ligand–receptor interaction. Gene-net-work analysis suggested that CCND1, CTNNB1, MAPK10, and PRKCA were involved. Methylated genes are specifically expressed in cervical adenocarcinoma tissues in Xinjiang, China. Four of these genes (CCND1, CTNNB1, MAPK10, and PRKCA) with differential expression patterns may play important regulatory roles in cervical adenocarcinoma development through affecting the neuroactive ligand–receptor interaction. Wolters Kluwer Health 2018-08-21 /pmc/articles/PMC6393078/ /pubmed/30170437 http://dx.doi.org/10.1097/MD.0000000000012108 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | Research Article Yuan, Min Yuan, Jianlin Mei, Lipa Abulizi, Guzhalinuer Bioinformatics analysis of methylation in cervical adenocarcinoma in Xinjiang, China |
title | Bioinformatics analysis of methylation in cervical adenocarcinoma in Xinjiang, China |
title_full | Bioinformatics analysis of methylation in cervical adenocarcinoma in Xinjiang, China |
title_fullStr | Bioinformatics analysis of methylation in cervical adenocarcinoma in Xinjiang, China |
title_full_unstemmed | Bioinformatics analysis of methylation in cervical adenocarcinoma in Xinjiang, China |
title_short | Bioinformatics analysis of methylation in cervical adenocarcinoma in Xinjiang, China |
title_sort | bioinformatics analysis of methylation in cervical adenocarcinoma in xinjiang, china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393078/ https://www.ncbi.nlm.nih.gov/pubmed/30170437 http://dx.doi.org/10.1097/MD.0000000000012108 |
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