Cargando…

Screening of potential biomarkers in uterine leiomyomas disease via gene expression profiling analysis

The present study aimed to screen potential biomarkers for uterine leiomyomas disease, particularly target genes associated with the mediator of RNA polymerase II transcription subunit 12 (MED12) mutation. The microarray data of GSE30673, including 10 MED12 wild-type myometrium, 8 MED12 mutation lei...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Xuhui, Liu, Yanfei, Zhao, Jingrong, Liu, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928645/
https://www.ncbi.nlm.nih.gov/pubmed/29568968
http://dx.doi.org/10.3892/mmr.2018.8756
_version_ 1783319282874056704
author Liu, Xuhui
Liu, Yanfei
Zhao, Jingrong
Liu, Yan
author_facet Liu, Xuhui
Liu, Yanfei
Zhao, Jingrong
Liu, Yan
author_sort Liu, Xuhui
collection PubMed
description The present study aimed to screen potential biomarkers for uterine leiomyomas disease, particularly target genes associated with the mediator of RNA polymerase II transcription subunit 12 (MED12) mutation. The microarray data of GSE30673, including 10 MED12 wild-type myometrium, 8 MED12 mutation leiomyoma and 2 MED12 wild-type leiomyoma samples, were downloaded from the Gene Expression Omnibus database. Compared with myometrium samples, differently-expressed genes (DEGs) in the MED12 mutation and wild-type leiomyoma samples were identified using the Limma package. The two sets of DEGs obtained were intersected to screen common DEGs. The DEGs in the MED12 mutation and wild-type leiomyoma samples, and common DEGs were defined as group A, B and C. Gene Ontology (GO) and pathway enrichment analyses were performed using the Database for Annotation, Visualization and Integrated Discovery online tool. Based on the Kyoto Encyclopedia of Genes and Genomes database, pathway relation networks were constructed. DEGs in GO terms and pathways were intersected to screen important DEGs. Subsequently, a gene co-expression network was constructed and visualized using Cytoscape software. Reverse transcription-quantitative polymerase chain reaction was used to detect the expression levels of important DEGs. A total of 1,258 DEGs in group A were screened, and enriched for extracellular matrix (ECM) organization and ECM-receptor interaction. In addition, a total of 1,571 DEGs in group B were enriched for cell adhesion. Furthermore, 391 DEGs were involved in extracellular matrix organization. Pathway relation networks of group A, B and C were constructed with nodes of 48, 39, and 28, respectively. Finally, 135 important DEGs were obtained, including Acyl-CoA synthetase medium-chain family member 3, protein S (α) (PROS1) and F11 receptor. A gene co-expression network with 68 nodes was constructed. The expression of caspase 1 (CASP1) and aldehyde dehydrogenase 1 family member A1 (ALDH1A1) was significant higher in SK-UT-1 compared with that in PHM1-31 cells, while the expression of PROS1 was significant lower in SK-UT-1 cells. These results that CASP1, ALDH1A1 and PROS1 may be potential biomarkers for uterine leiomyomas. Furthermore, hematopoietic prostaglandin D synthase and carbonyl reductase 3 (CBR3) may be particular genes associated with the MED12 mutation in this disease.
format Online
Article
Text
id pubmed-5928645
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-59286452018-05-07 Screening of potential biomarkers in uterine leiomyomas disease via gene expression profiling analysis Liu, Xuhui Liu, Yanfei Zhao, Jingrong Liu, Yan Mol Med Rep Articles The present study aimed to screen potential biomarkers for uterine leiomyomas disease, particularly target genes associated with the mediator of RNA polymerase II transcription subunit 12 (MED12) mutation. The microarray data of GSE30673, including 10 MED12 wild-type myometrium, 8 MED12 mutation leiomyoma and 2 MED12 wild-type leiomyoma samples, were downloaded from the Gene Expression Omnibus database. Compared with myometrium samples, differently-expressed genes (DEGs) in the MED12 mutation and wild-type leiomyoma samples were identified using the Limma package. The two sets of DEGs obtained were intersected to screen common DEGs. The DEGs in the MED12 mutation and wild-type leiomyoma samples, and common DEGs were defined as group A, B and C. Gene Ontology (GO) and pathway enrichment analyses were performed using the Database for Annotation, Visualization and Integrated Discovery online tool. Based on the Kyoto Encyclopedia of Genes and Genomes database, pathway relation networks were constructed. DEGs in GO terms and pathways were intersected to screen important DEGs. Subsequently, a gene co-expression network was constructed and visualized using Cytoscape software. Reverse transcription-quantitative polymerase chain reaction was used to detect the expression levels of important DEGs. A total of 1,258 DEGs in group A were screened, and enriched for extracellular matrix (ECM) organization and ECM-receptor interaction. In addition, a total of 1,571 DEGs in group B were enriched for cell adhesion. Furthermore, 391 DEGs were involved in extracellular matrix organization. Pathway relation networks of group A, B and C were constructed with nodes of 48, 39, and 28, respectively. Finally, 135 important DEGs were obtained, including Acyl-CoA synthetase medium-chain family member 3, protein S (α) (PROS1) and F11 receptor. A gene co-expression network with 68 nodes was constructed. The expression of caspase 1 (CASP1) and aldehyde dehydrogenase 1 family member A1 (ALDH1A1) was significant higher in SK-UT-1 compared with that in PHM1-31 cells, while the expression of PROS1 was significant lower in SK-UT-1 cells. These results that CASP1, ALDH1A1 and PROS1 may be potential biomarkers for uterine leiomyomas. Furthermore, hematopoietic prostaglandin D synthase and carbonyl reductase 3 (CBR3) may be particular genes associated with the MED12 mutation in this disease. D.A. Spandidos 2018-05 2018-03-15 /pmc/articles/PMC5928645/ /pubmed/29568968 http://dx.doi.org/10.3892/mmr.2018.8756 Text en Copyright: © Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Liu, Xuhui
Liu, Yanfei
Zhao, Jingrong
Liu, Yan
Screening of potential biomarkers in uterine leiomyomas disease via gene expression profiling analysis
title Screening of potential biomarkers in uterine leiomyomas disease via gene expression profiling analysis
title_full Screening of potential biomarkers in uterine leiomyomas disease via gene expression profiling analysis
title_fullStr Screening of potential biomarkers in uterine leiomyomas disease via gene expression profiling analysis
title_full_unstemmed Screening of potential biomarkers in uterine leiomyomas disease via gene expression profiling analysis
title_short Screening of potential biomarkers in uterine leiomyomas disease via gene expression profiling analysis
title_sort screening of potential biomarkers in uterine leiomyomas disease via gene expression profiling analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928645/
https://www.ncbi.nlm.nih.gov/pubmed/29568968
http://dx.doi.org/10.3892/mmr.2018.8756
work_keys_str_mv AT liuxuhui screeningofpotentialbiomarkersinuterineleiomyomasdiseaseviageneexpressionprofilinganalysis
AT liuyanfei screeningofpotentialbiomarkersinuterineleiomyomasdiseaseviageneexpressionprofilinganalysis
AT zhaojingrong screeningofpotentialbiomarkersinuterineleiomyomasdiseaseviageneexpressionprofilinganalysis
AT liuyan screeningofpotentialbiomarkersinuterineleiomyomasdiseaseviageneexpressionprofilinganalysis