Cargando…
Use of methylation profiling to identify significant differentially methylated genes in bone marrow mesenchymal stromal cells from acute myeloid leukemia
The present study aimed to characterize the epigenetic architecture by studying the DNA methylation signature in bone marrow mesenchymal stem cells (BM-MSCs) from patients with acute myeloid leukemia (AML). Microarray dataset GSE79695 was downloaded from the Gene Expression Omnibus database. Differe...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752236/ https://www.ncbi.nlm.nih.gov/pubmed/29207054 http://dx.doi.org/10.3892/ijmm.2017.3271 |
_version_ | 1783290093912457216 |
---|---|
author | Huang, Jing Liu, Zhi Sun, Yufan Zhong, Qi Xu, Li Ou, Ruimin Li, Cheng Chen, Rui Yao, Mengdong Zhang, Qing Liu, Shuang |
author_facet | Huang, Jing Liu, Zhi Sun, Yufan Zhong, Qi Xu, Li Ou, Ruimin Li, Cheng Chen, Rui Yao, Mengdong Zhang, Qing Liu, Shuang |
author_sort | Huang, Jing |
collection | PubMed |
description | The present study aimed to characterize the epigenetic architecture by studying the DNA methylation signature in bone marrow mesenchymal stem cells (BM-MSCs) from patients with acute myeloid leukemia (AML). Microarray dataset GSE79695 was downloaded from the Gene Expression Omnibus database. Differentially methylated sites and differentially methylated CpG islands were identified in BM-MSC samples from patients with AML compared with controls. MicroRNAs (miRs) encoding genes covering differentially methylated sites were found and the regulation network was constructed. Pathway enrichment analysis of hypermethylated genes and hypomethylated genes was performed, followed by protein-protein interaction (PPI) network construction. Moreover, the identified differentially methylated genes were compared with the leukemia-related marker/therapeutic genes from the literature. Overall, 228 hypermethylated CpG site probes covering 183 gene symbols and 523 hypomethylated CpG sites probes covering 362 gene symbols were identified in the BM-MSCs from AML patients. Furthermore, 4 genes with CpG island hypermethylation were identified, including peptidase M20 domain containing 1 (PM20D1). The hsa-miR-596-encoding gene MIR596 was found to be hypermethylated and the regulation network based on hsa-miR-596 and its targets (such as cytochrome P450 family 1 subfamily B member 1) was constructed. Hypermethylated and hypomethylated genes were enriched in different Kyoto Encyclopedia of Genes and Genomes pathways, including 'hsa05221: Acute myeloid leukemia' and 'hsa05220: Chronic myeloid leukemia', which the hypomethylated gene mitogen-activated protein kinase 3 (MAPK3) was involved in. In addition, MAPK3, lysine demethylase 2B and RAP1A, member of RAS oncogene family were hubs in the PPI network of methylated genes. In conclusion, PM20D1 with hypermethylation of CpG islands may be associated with the energy expenditure of patients with AML. Furthermore, the aberrantly hypermethylated miR-159-encoding gene MIR159 may be a potential biomarker of AML. |
format | Online Article Text |
id | pubmed-5752236 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-57522362018-01-11 Use of methylation profiling to identify significant differentially methylated genes in bone marrow mesenchymal stromal cells from acute myeloid leukemia Huang, Jing Liu, Zhi Sun, Yufan Zhong, Qi Xu, Li Ou, Ruimin Li, Cheng Chen, Rui Yao, Mengdong Zhang, Qing Liu, Shuang Int J Mol Med Articles The present study aimed to characterize the epigenetic architecture by studying the DNA methylation signature in bone marrow mesenchymal stem cells (BM-MSCs) from patients with acute myeloid leukemia (AML). Microarray dataset GSE79695 was downloaded from the Gene Expression Omnibus database. Differentially methylated sites and differentially methylated CpG islands were identified in BM-MSC samples from patients with AML compared with controls. MicroRNAs (miRs) encoding genes covering differentially methylated sites were found and the regulation network was constructed. Pathway enrichment analysis of hypermethylated genes and hypomethylated genes was performed, followed by protein-protein interaction (PPI) network construction. Moreover, the identified differentially methylated genes were compared with the leukemia-related marker/therapeutic genes from the literature. Overall, 228 hypermethylated CpG site probes covering 183 gene symbols and 523 hypomethylated CpG sites probes covering 362 gene symbols were identified in the BM-MSCs from AML patients. Furthermore, 4 genes with CpG island hypermethylation were identified, including peptidase M20 domain containing 1 (PM20D1). The hsa-miR-596-encoding gene MIR596 was found to be hypermethylated and the regulation network based on hsa-miR-596 and its targets (such as cytochrome P450 family 1 subfamily B member 1) was constructed. Hypermethylated and hypomethylated genes were enriched in different Kyoto Encyclopedia of Genes and Genomes pathways, including 'hsa05221: Acute myeloid leukemia' and 'hsa05220: Chronic myeloid leukemia', which the hypomethylated gene mitogen-activated protein kinase 3 (MAPK3) was involved in. In addition, MAPK3, lysine demethylase 2B and RAP1A, member of RAS oncogene family were hubs in the PPI network of methylated genes. In conclusion, PM20D1 with hypermethylation of CpG islands may be associated with the energy expenditure of patients with AML. Furthermore, the aberrantly hypermethylated miR-159-encoding gene MIR159 may be a potential biomarker of AML. D.A. Spandidos 2018-02 2017-11-17 /pmc/articles/PMC5752236/ /pubmed/29207054 http://dx.doi.org/10.3892/ijmm.2017.3271 Text en Copyright: © Huang 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 Huang, Jing Liu, Zhi Sun, Yufan Zhong, Qi Xu, Li Ou, Ruimin Li, Cheng Chen, Rui Yao, Mengdong Zhang, Qing Liu, Shuang Use of methylation profiling to identify significant differentially methylated genes in bone marrow mesenchymal stromal cells from acute myeloid leukemia |
title | Use of methylation profiling to identify significant differentially methylated genes in bone marrow mesenchymal stromal cells from acute myeloid leukemia |
title_full | Use of methylation profiling to identify significant differentially methylated genes in bone marrow mesenchymal stromal cells from acute myeloid leukemia |
title_fullStr | Use of methylation profiling to identify significant differentially methylated genes in bone marrow mesenchymal stromal cells from acute myeloid leukemia |
title_full_unstemmed | Use of methylation profiling to identify significant differentially methylated genes in bone marrow mesenchymal stromal cells from acute myeloid leukemia |
title_short | Use of methylation profiling to identify significant differentially methylated genes in bone marrow mesenchymal stromal cells from acute myeloid leukemia |
title_sort | use of methylation profiling to identify significant differentially methylated genes in bone marrow mesenchymal stromal cells from acute myeloid leukemia |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752236/ https://www.ncbi.nlm.nih.gov/pubmed/29207054 http://dx.doi.org/10.3892/ijmm.2017.3271 |
work_keys_str_mv | AT huangjing useofmethylationprofilingtoidentifysignificantdifferentiallymethylatedgenesinbonemarrowmesenchymalstromalcellsfromacutemyeloidleukemia AT liuzhi useofmethylationprofilingtoidentifysignificantdifferentiallymethylatedgenesinbonemarrowmesenchymalstromalcellsfromacutemyeloidleukemia AT sunyufan useofmethylationprofilingtoidentifysignificantdifferentiallymethylatedgenesinbonemarrowmesenchymalstromalcellsfromacutemyeloidleukemia AT zhongqi useofmethylationprofilingtoidentifysignificantdifferentiallymethylatedgenesinbonemarrowmesenchymalstromalcellsfromacutemyeloidleukemia AT xuli useofmethylationprofilingtoidentifysignificantdifferentiallymethylatedgenesinbonemarrowmesenchymalstromalcellsfromacutemyeloidleukemia AT ouruimin useofmethylationprofilingtoidentifysignificantdifferentiallymethylatedgenesinbonemarrowmesenchymalstromalcellsfromacutemyeloidleukemia AT licheng useofmethylationprofilingtoidentifysignificantdifferentiallymethylatedgenesinbonemarrowmesenchymalstromalcellsfromacutemyeloidleukemia AT chenrui useofmethylationprofilingtoidentifysignificantdifferentiallymethylatedgenesinbonemarrowmesenchymalstromalcellsfromacutemyeloidleukemia AT yaomengdong useofmethylationprofilingtoidentifysignificantdifferentiallymethylatedgenesinbonemarrowmesenchymalstromalcellsfromacutemyeloidleukemia AT zhangqing useofmethylationprofilingtoidentifysignificantdifferentiallymethylatedgenesinbonemarrowmesenchymalstromalcellsfromacutemyeloidleukemia AT liushuang useofmethylationprofilingtoidentifysignificantdifferentiallymethylatedgenesinbonemarrowmesenchymalstromalcellsfromacutemyeloidleukemia |