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Genome-wide methylation data from R1 (wild-type) and the transgenic Dnmt1(Tet/Tet) mouse embryonic stem cells overexpressing DNA methyltransferase 1 (DNMT1)
Defects in epigenetic mechanisms are well-recognized in multiple neurodevelopmental disorders including Schizophrenia (SZ). In addition to aberrant epigenetic marks, dysregulated epigenetic machinery was also identified among the contributory factors in SZ patients. Among these, overexpression of DN...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481814/ https://www.ncbi.nlm.nih.gov/pubmed/32944600 http://dx.doi.org/10.1016/j.dib.2020.106242 |
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author | Saxena, Sonal Choudhury, Sumana Mohan, K. Naga |
author_facet | Saxena, Sonal Choudhury, Sumana Mohan, K. Naga |
author_sort | Saxena, Sonal |
collection | PubMed |
description | Defects in epigenetic mechanisms are well-recognized in multiple neurodevelopmental disorders including Schizophrenia (SZ). In addition to aberrant epigenetic marks, dysregulated epigenetic machinery was also identified among the contributory factors in SZ patients. Among these, overexpression of DNA methyltransferase 1 (DNMT1) was the first to be identified. In this context, Dnmt1(tet/tet) (Tet/Tet), a mouse embryonic stem cell (ESC) line that overexpresses DNMT1 in ESCs and neurons, was developed to study abnormal neurogenesis. In an attempt to understand whether DNMT1 overexpression is associated with aberrant DNA methylation, we compared the genome-wide methylation levels of R1 (wild-type) and Tet/Tet ESCs and their neuronal derivatives by RRBS. The RRBS data (GSE152817) showed an average mappability of ∼59% and an average coverage of 40X per locus. The data was processed to determine the methylation percentages of target genes and was visualized using the UCSC genome browser. The observed methylation differences were validated by Combined Bisulfite Restriction Analysis (COBRA). The methylome data described here can be used to study the relationship between DNMT1 overexpression, alterations in methylation levels and dysregulation of SZ-associated genes. |
format | Online Article Text |
id | pubmed-7481814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-74818142020-09-16 Genome-wide methylation data from R1 (wild-type) and the transgenic Dnmt1(Tet/Tet) mouse embryonic stem cells overexpressing DNA methyltransferase 1 (DNMT1) Saxena, Sonal Choudhury, Sumana Mohan, K. Naga Data Brief Data Article Defects in epigenetic mechanisms are well-recognized in multiple neurodevelopmental disorders including Schizophrenia (SZ). In addition to aberrant epigenetic marks, dysregulated epigenetic machinery was also identified among the contributory factors in SZ patients. Among these, overexpression of DNA methyltransferase 1 (DNMT1) was the first to be identified. In this context, Dnmt1(tet/tet) (Tet/Tet), a mouse embryonic stem cell (ESC) line that overexpresses DNMT1 in ESCs and neurons, was developed to study abnormal neurogenesis. In an attempt to understand whether DNMT1 overexpression is associated with aberrant DNA methylation, we compared the genome-wide methylation levels of R1 (wild-type) and Tet/Tet ESCs and their neuronal derivatives by RRBS. The RRBS data (GSE152817) showed an average mappability of ∼59% and an average coverage of 40X per locus. The data was processed to determine the methylation percentages of target genes and was visualized using the UCSC genome browser. The observed methylation differences were validated by Combined Bisulfite Restriction Analysis (COBRA). The methylome data described here can be used to study the relationship between DNMT1 overexpression, alterations in methylation levels and dysregulation of SZ-associated genes. Elsevier 2020-09-01 /pmc/articles/PMC7481814/ /pubmed/32944600 http://dx.doi.org/10.1016/j.dib.2020.106242 Text en © 2020 The Author(s). Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Saxena, Sonal Choudhury, Sumana Mohan, K. Naga Genome-wide methylation data from R1 (wild-type) and the transgenic Dnmt1(Tet/Tet) mouse embryonic stem cells overexpressing DNA methyltransferase 1 (DNMT1) |
title | Genome-wide methylation data from R1 (wild-type) and the transgenic Dnmt1(Tet/Tet) mouse embryonic stem cells overexpressing DNA methyltransferase 1 (DNMT1) |
title_full | Genome-wide methylation data from R1 (wild-type) and the transgenic Dnmt1(Tet/Tet) mouse embryonic stem cells overexpressing DNA methyltransferase 1 (DNMT1) |
title_fullStr | Genome-wide methylation data from R1 (wild-type) and the transgenic Dnmt1(Tet/Tet) mouse embryonic stem cells overexpressing DNA methyltransferase 1 (DNMT1) |
title_full_unstemmed | Genome-wide methylation data from R1 (wild-type) and the transgenic Dnmt1(Tet/Tet) mouse embryonic stem cells overexpressing DNA methyltransferase 1 (DNMT1) |
title_short | Genome-wide methylation data from R1 (wild-type) and the transgenic Dnmt1(Tet/Tet) mouse embryonic stem cells overexpressing DNA methyltransferase 1 (DNMT1) |
title_sort | genome-wide methylation data from r1 (wild-type) and the transgenic dnmt1(tet/tet) mouse embryonic stem cells overexpressing dna methyltransferase 1 (dnmt1) |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481814/ https://www.ncbi.nlm.nih.gov/pubmed/32944600 http://dx.doi.org/10.1016/j.dib.2020.106242 |
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