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Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules

DNA methylation is an essential epigenetic modification for multiple biological processes. DNA methylation in mammals acts as an epigenetic mark of transcriptional repression. Aberrant levels of DNA methylation can be observed in various types of tumor cells. Thus, DNA methylation has attracted cons...

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Autores principales: Zhang, Shiqi, Zeng, Tao, Hu, Bin, Zhang, Yu-Hang, Feng, Kaiyan, Chen, Lei, Niu, Zhibin, Li, Jianhao, Huang, Tao, Cai, Yu-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264161/
https://www.ncbi.nlm.nih.gov/pubmed/32528944
http://dx.doi.org/10.3389/fbioe.2020.00507
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author Zhang, Shiqi
Zeng, Tao
Hu, Bin
Zhang, Yu-Hang
Feng, Kaiyan
Chen, Lei
Niu, Zhibin
Li, Jianhao
Huang, Tao
Cai, Yu-Dong
author_facet Zhang, Shiqi
Zeng, Tao
Hu, Bin
Zhang, Yu-Hang
Feng, Kaiyan
Chen, Lei
Niu, Zhibin
Li, Jianhao
Huang, Tao
Cai, Yu-Dong
author_sort Zhang, Shiqi
collection PubMed
description DNA methylation is an essential epigenetic modification for multiple biological processes. DNA methylation in mammals acts as an epigenetic mark of transcriptional repression. Aberrant levels of DNA methylation can be observed in various types of tumor cells. Thus, DNA methylation has attracted considerable attention among researchers to provide new and feasible tumor therapies. Conventional studies considered single-gene methylation or specific loci as biomarkers for tumorigenesis. However, genome-scale methylated modification has not been completely investigated. Thus, we proposed and compared two novel computational approaches based on multiple machine learning algorithms for the qualitative and quantitative analyses of methylation-associated genes and their dys-methylated patterns. This study contributes to the identification of novel effective genes and the establishment of optimal quantitative rules for aberrant methylation distinguishing tumor cells with different origin tissues.
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spelling pubmed-72641612020-06-10 Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules Zhang, Shiqi Zeng, Tao Hu, Bin Zhang, Yu-Hang Feng, Kaiyan Chen, Lei Niu, Zhibin Li, Jianhao Huang, Tao Cai, Yu-Dong Front Bioeng Biotechnol Bioengineering and Biotechnology DNA methylation is an essential epigenetic modification for multiple biological processes. DNA methylation in mammals acts as an epigenetic mark of transcriptional repression. Aberrant levels of DNA methylation can be observed in various types of tumor cells. Thus, DNA methylation has attracted considerable attention among researchers to provide new and feasible tumor therapies. Conventional studies considered single-gene methylation or specific loci as biomarkers for tumorigenesis. However, genome-scale methylated modification has not been completely investigated. Thus, we proposed and compared two novel computational approaches based on multiple machine learning algorithms for the qualitative and quantitative analyses of methylation-associated genes and their dys-methylated patterns. This study contributes to the identification of novel effective genes and the establishment of optimal quantitative rules for aberrant methylation distinguishing tumor cells with different origin tissues. Frontiers Media S.A. 2020-05-26 /pmc/articles/PMC7264161/ /pubmed/32528944 http://dx.doi.org/10.3389/fbioe.2020.00507 Text en Copyright © 2020 Zhang, Zeng, Hu, Zhang, Feng, Chen, Niu, Li, Huang and Cai. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Zhang, Shiqi
Zeng, Tao
Hu, Bin
Zhang, Yu-Hang
Feng, Kaiyan
Chen, Lei
Niu, Zhibin
Li, Jianhao
Huang, Tao
Cai, Yu-Dong
Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules
title Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules
title_full Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules
title_fullStr Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules
title_full_unstemmed Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules
title_short Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules
title_sort discriminating origin tissues of tumor cell lines by methylation signatures and dys-methylated rules
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264161/
https://www.ncbi.nlm.nih.gov/pubmed/32528944
http://dx.doi.org/10.3389/fbioe.2020.00507
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