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Impact of mutations in DNA methylation modification genes on genome-wide methylation landscapes and downstream gene activations in pan-cancer

DC Field Value Language
dc.contributor.authorLee, Chai-Jin-
dc.contributor.authorAhn, Hongryul-
dc.contributor.authorJeong, Dabin-
dc.contributor.authorPak, Minwoo-
dc.contributor.authorMoon, Ji Hwan-
dc.contributor.authorKim, Sun-
dc.date.accessioned2020-08-13T08:51:28Z-
dc.date.available2023-05-10T10:54:53Z-
dc.date.issued2020-02-24-
dc.identifier.citationBMC Medical Genomics, 13(Suppl 3):27ko_KR
dc.identifier.issn1755-8794-
dc.identifier.urihttps://hdl.handle.net/10371/168725-
dc.description.abstractIn cancer, mutations of DNA methylation modification genes have crucial roles for epigenetic modifications genome-wide, which lead to the activation or suppression of important genes including tumor suppressor genes. Mutations on the epigenetic modifiers could affect the enzyme activity, which would result in the difference in genome-wide methylation profiles and, activation of downstream genes. Therefore, we investigated the effect of mutations on DNA methylation modification genes such as DNMT1, DNMT3A, MBD1, MBD4, TET1, TET2 and TET3 through a pan-cancer analysis.

First, we investigated the effect of mutations in DNA methylation modification genes on genome-wide methylation profiles. We collected 3,644 samples that have both of mRNA and methylation data from 12 major cancer types in The Cancer Genome Atlas (TCGA). The samples were divided into two groups according to the mutational signature. Differentially methylated regions (DMR) that overlapped with the promoter region were selected using minfi and differentially expressed genes (DEG) were identified using EBSeq. By integrating the DMR and DEG results, we constructed a comprehensive DNA methylome profiles on a pan-cancer scale. Second, we investigated the effect of DNA methylations in the promoter regions on downstream genes by comparing the two groups of samples in 11 cancer types. To investigate the effects of promoter methylation on downstream gene activations, we performed clustering analysis of DEGs. Among the DEGs, we selected highly correlated gene set that had differentially methylated promoter regions using graph based sub-network clustering methods.

We chose an up-regulated DEGs cluster where had hypomethylated promoter in acute myeloid leukemia (LAML) and another down-regulated DEGs cluster where had hypermethylated promoter in colon adenocarcinoma (COAD). To rule out effects of gene regulation by transcription factor (TF), if differentially expressed TFs bound to the promoter of DEGs, that DEGs did not included to the gene set that effected by DNA methylation modifiers. Consequently, we identified 54 hypomethylated promoter DMR up-regulated DEGs in LAML and 45 hypermethylated promoter DMR down-regulated DEGs in COAD.

Our study on DNA methylation modification genes in mutated vs. non-mutated groups could provide useful insight into the epigenetic regulation of DEGs in cancer.
ko_KR
dc.description.sponsorshipThis research is supported by National Research Foundation of Korea (NRF)
funded by the Ministry of Science, ICT (No. NRF-2017M3C4A7065887), the
Collaborative Genome Program for Fostering New Post-Genome Industry of
the National Research Foundation (NRF) funded by the Ministry of Science and
ICT (MSIT) (No. NRF-2014M3C9A3063541), and a grant of the Korea Health
Technology R&D Project through the Korea Health Industry Development
Institute (KHIDI) funded by the Ministry of Health & Welfare, Republic of Korea
(grant number: HI15C3224). The funding bodies provided financial support
but had no other role in the design of the study, data collection, analysis, and
interpretation of data, decision to publish, or preparation of the manuscript.
ko_KR
dc.language.isoenko_KR
dc.publisherBMCko_KR
dc.subjectDNA methylation modifier-
dc.subjectSub-network clustering-
dc.subjectDMR-DEG integration-
dc.subjectPan-cancer analysis-
dc.subjectGenome-wide landscape-
dc.titleImpact of mutations in DNA methylation modification genes on genome-wide methylation landscapes and downstream gene activations in pan-cancerko_KR
dc.typeArticleko_KR
dc.contributor.AlternativeAuthor이재진-
dc.contributor.AlternativeAuthor안홍렬-
dc.contributor.AlternativeAuthor정다빈-
dc.contributor.AlternativeAuthor박민우-
dc.contributor.AlternativeAuthor문지환-
dc.contributor.AlternativeAuthor김선-
dc.identifier.doi10.1186/s12920-020-0659-4-
dc.language.rfc3066en-
dc.rights.holderThe Author(s)-
dc.date.updated2020-06-17T13:09:59Z-
dc.citation.endpage40ko_KR
dc.citation.numberSuppl 3ko_KR
dc.citation.startpage27ko_KR
dc.citation.volume13ko_KR
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