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In silico identification of single nucleotide variations at CpG sites regulating CpG island existence and size
Genetic and epigenetic modifications of genes involved in the key regulatory pathways play a significant role in the pathophysiology and progression of multifactorial diseases. The present study is an attempt to identify single nucleotide variations (SNVs) at CpG sites of promoters of ACAT1, APOB, A...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897451/ https://www.ncbi.nlm.nih.gov/pubmed/35246549 http://dx.doi.org/10.1038/s41598-022-05198-8 |
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author | Shyamala, Nivas Kongettira, Chaitra Lava Puranam, Kaushik Kupsal, Keerthi Kummari, Ramanjaneyulu Padala, Chiranjeevi Hanumanth, Surekha Rani |
author_facet | Shyamala, Nivas Kongettira, Chaitra Lava Puranam, Kaushik Kupsal, Keerthi Kummari, Ramanjaneyulu Padala, Chiranjeevi Hanumanth, Surekha Rani |
author_sort | Shyamala, Nivas |
collection | PubMed |
description | Genetic and epigenetic modifications of genes involved in the key regulatory pathways play a significant role in the pathophysiology and progression of multifactorial diseases. The present study is an attempt to identify single nucleotide variations (SNVs) at CpG sites of promoters of ACAT1, APOB, APOE, CYBA, FAS, FLT1, KSR2, LDLR, MMP9, PCSK9, PHOX2A, REST, SH2B3, SORT1 and TIMP1 genes influencing CpG island (CGI) existence and size associated with the pathophysiology of Diabetes mellitus, Coronary artery disease and Cancers. Promoter sequences located between −2000 to + 2000 bp were retrieved from the EPDnew database and predicted the CpG island using MethPrimer. Further, SNVs at CpG sites were accessed from NCBI, Ensembl while transcription factor (TF) binding sites were accessed using AliBaba2.1. CGI existence and size were determined for each SNV at CpG site with respect to wild type and variant allele by MethPrimer. A total of 200 SNVs at CpG sites were analyzed from the promoters of ACAT1, APOB, APOE, CYBA, FAS, FLT1, KSR2, LDLR, MMP9, PCSK9, PHOX2A, REST, SH2B3, SORT1 and TIMP1 genes. Of these, only 17 (8.5%) SNVs were found to influence the loss of CGI while 70 (35%) SNVs were found to reduce the size of CGI. It has also been found that 59% (10) of CGI abolishing SNVs are showing differences in binding of TFs. The findings of the study suggest that the candidate SNVs at CpG sites regulating CGI existence and size might influence the DNA methylation status and expression of genes involved in molecular pathways associated with several diseases. The insights of the present study may pave the way for new experimental studies to undertake challenges in DNA methylation, gene expression and protein assays. |
format | Online Article Text |
id | pubmed-8897451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88974512022-03-08 In silico identification of single nucleotide variations at CpG sites regulating CpG island existence and size Shyamala, Nivas Kongettira, Chaitra Lava Puranam, Kaushik Kupsal, Keerthi Kummari, Ramanjaneyulu Padala, Chiranjeevi Hanumanth, Surekha Rani Sci Rep Article Genetic and epigenetic modifications of genes involved in the key regulatory pathways play a significant role in the pathophysiology and progression of multifactorial diseases. The present study is an attempt to identify single nucleotide variations (SNVs) at CpG sites of promoters of ACAT1, APOB, APOE, CYBA, FAS, FLT1, KSR2, LDLR, MMP9, PCSK9, PHOX2A, REST, SH2B3, SORT1 and TIMP1 genes influencing CpG island (CGI) existence and size associated with the pathophysiology of Diabetes mellitus, Coronary artery disease and Cancers. Promoter sequences located between −2000 to + 2000 bp were retrieved from the EPDnew database and predicted the CpG island using MethPrimer. Further, SNVs at CpG sites were accessed from NCBI, Ensembl while transcription factor (TF) binding sites were accessed using AliBaba2.1. CGI existence and size were determined for each SNV at CpG site with respect to wild type and variant allele by MethPrimer. A total of 200 SNVs at CpG sites were analyzed from the promoters of ACAT1, APOB, APOE, CYBA, FAS, FLT1, KSR2, LDLR, MMP9, PCSK9, PHOX2A, REST, SH2B3, SORT1 and TIMP1 genes. Of these, only 17 (8.5%) SNVs were found to influence the loss of CGI while 70 (35%) SNVs were found to reduce the size of CGI. It has also been found that 59% (10) of CGI abolishing SNVs are showing differences in binding of TFs. The findings of the study suggest that the candidate SNVs at CpG sites regulating CGI existence and size might influence the DNA methylation status and expression of genes involved in molecular pathways associated with several diseases. The insights of the present study may pave the way for new experimental studies to undertake challenges in DNA methylation, gene expression and protein assays. Nature Publishing Group UK 2022-03-04 /pmc/articles/PMC8897451/ /pubmed/35246549 http://dx.doi.org/10.1038/s41598-022-05198-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Shyamala, Nivas Kongettira, Chaitra Lava Puranam, Kaushik Kupsal, Keerthi Kummari, Ramanjaneyulu Padala, Chiranjeevi Hanumanth, Surekha Rani In silico identification of single nucleotide variations at CpG sites regulating CpG island existence and size |
title | In silico identification of single nucleotide variations at CpG sites regulating CpG island existence and size |
title_full | In silico identification of single nucleotide variations at CpG sites regulating CpG island existence and size |
title_fullStr | In silico identification of single nucleotide variations at CpG sites regulating CpG island existence and size |
title_full_unstemmed | In silico identification of single nucleotide variations at CpG sites regulating CpG island existence and size |
title_short | In silico identification of single nucleotide variations at CpG sites regulating CpG island existence and size |
title_sort | in silico identification of single nucleotide variations at cpg sites regulating cpg island existence and size |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897451/ https://www.ncbi.nlm.nih.gov/pubmed/35246549 http://dx.doi.org/10.1038/s41598-022-05198-8 |
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