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Profiling Genome-Wide DNA Methylation Patterns in Human Aortic and Mitral Valves

Cardiac valve structure and function are complex and include dynamic interactions between cells, extracellular matrix (ECM) and their hemodynamic environment. Valvular gene expression is tightly regulated by a variety of mechanisms including epigenetic factors such as histone modifications, RNA-base...

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Main Author: Halawa, Sarah
Format: Thesis
Published: AUC Knowledge Fountain 2020
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access_status_str Open Access
author Halawa, Sarah
author_browse Halawa, Sarah
author_facet Halawa, Sarah
author_sort Halawa, Sarah
collection Thesis
description Cardiac valve structure and function are complex and include dynamic interactions between cells, extracellular matrix (ECM) and their hemodynamic environment. Valvular gene expression is tightly regulated by a variety of mechanisms including epigenetic factors such as histone modifications, RNA-based mechanisms and DNA methylation. To date, methylation fingerprints of non-diseased human aortic and mitral valves have not been studied. In this work I analyzed the differential methylation profiles of 12 non-diseased aortic and mitral valve tissue samples (in matched pairs). Methylation data were acquired via reduced representation bisulfite sequencing (RRBS). Of 1601 promoters analyzed genome-wide, my analysis revealed 584 differentially methylated (DM) promoters, of which 13 were reported in endothelial mesenchymal trans-differentiation (EMT), 37 in aortic and mitral valve disease and 7 in ECM remodeling. Both functional classification and network analysis showed that genes associated with the differentially methylated promoters were enriched for WNT-, Cadherin-, Endothelin-, PDGF- and VEGF- signaling implicated in valvular physiology and pathophysiology. Additional enrichment was detected for TGFB-, NOTCH- and Integrin- signaling involved in EMT as well as ECM remodeling. These data provide the first insight into differential regulation of human aortic and mitral valve tissue and identify candidate genes linked to differentially methylated promoters. This work will improve the understanding of valve biology, valve tissue engineering approaches and contributes to the identification of relevant drug targets.
format Thesis
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institution American University in Cairo (Egypt)
last_indexed 2026-06-10T12:35:50.652Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from AUC Knowledge Fountain — bepress
publishDate 2020
publishDateRange 2020
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source_str AUC Knowledge Fountain — bepress
spelling oai:fount.aucegypt.edu:etds-2541 Profiling Genome-Wide DNA Methylation Patterns in Human Aortic and Mitral Valves Halawa, Sarah Cardiac valve structure and function are complex and include dynamic interactions between cells, extracellular matrix (ECM) and their hemodynamic environment. Valvular gene expression is tightly regulated by a variety of mechanisms including epigenetic factors such as histone modifications, RNA-based mechanisms and DNA methylation. To date, methylation fingerprints of non-diseased human aortic and mitral valves have not been studied. In this work I analyzed the differential methylation profiles of 12 non-diseased aortic and mitral valve tissue samples (in matched pairs). Methylation data were acquired via reduced representation bisulfite sequencing (RRBS). Of 1601 promoters analyzed genome-wide, my analysis revealed 584 differentially methylated (DM) promoters, of which 13 were reported in endothelial mesenchymal trans-differentiation (EMT), 37 in aortic and mitral valve disease and 7 in ECM remodeling. Both functional classification and network analysis showed that genes associated with the differentially methylated promoters were enriched for WNT-, Cadherin-, Endothelin-, PDGF- and VEGF- signaling implicated in valvular physiology and pathophysiology. Additional enrichment was detected for TGFB-, NOTCH- and Integrin- signaling involved in EMT as well as ECM remodeling. These data provide the first insight into differential regulation of human aortic and mitral valve tissue and identify candidate genes linked to differentially methylated promoters. This work will improve the understanding of valve biology, valve tissue engineering approaches and contributes to the identification of relevant drug targets. 2020-12-09T08:00:00Z dissertation application/pdf https://fount.aucegypt.edu/etds/1519 https://fount.aucegypt.edu/context/etds/article/2541/viewcontent/sarah_hesham_halawa_thesis.pdf Theses and Dissertations AUC Knowledge Fountain epigenetics; heart valves; methylation; next generation sequencing (NGS); extracellular matrix (ECM); endothelial mesenchymal trans-differentiation (EMT); reduced representation bisulfite sequencing (RRBS); networks; promoters Medicine and Health Sciences
spellingShingle epigenetics; heart valves; methylation; next generation sequencing (NGS); extracellular matrix (ECM); endothelial mesenchymal trans-differentiation (EMT); reduced representation bisulfite sequencing (RRBS); networks; promoters
Medicine and Health Sciences
Halawa, Sarah
Profiling Genome-Wide DNA Methylation Patterns in Human Aortic and Mitral Valves
title Profiling Genome-Wide DNA Methylation Patterns in Human Aortic and Mitral Valves
title_full Profiling Genome-Wide DNA Methylation Patterns in Human Aortic and Mitral Valves
title_fullStr Profiling Genome-Wide DNA Methylation Patterns in Human Aortic and Mitral Valves
title_full_unstemmed Profiling Genome-Wide DNA Methylation Patterns in Human Aortic and Mitral Valves
title_short Profiling Genome-Wide DNA Methylation Patterns in Human Aortic and Mitral Valves
title_sort profiling genome wide dna methylation patterns in human aortic and mitral valves
topic epigenetics; heart valves; methylation; next generation sequencing (NGS); extracellular matrix (ECM); endothelial mesenchymal trans-differentiation (EMT); reduced representation bisulfite sequencing (RRBS); networks; promoters
Medicine and Health Sciences
url https://fount.aucegypt.edu/etds/1519
https://fount.aucegypt.edu/context/etds/article/2541/viewcontent/sarah_hesham_halawa_thesis.pdf
work_keys_str_mv AT halawasarah profilinggenomewidednamethylationpatternsinhumanaorticandmitralvalves