Cargando…
Integration of multimodal data in the developing tooth reveals candidate regulatory loci driving human odontogenic phenotypes
Human odontogenic aberrations such as abnormal tooth number and delayed tooth eruption can occur as a symptom of rare syndromes or, more commonly, as nonsyndromic phenotypes. These phenotypes can require extensive and expensive dental treatment, posing a significant burden. While many dental phenoty...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078798/ https://www.ncbi.nlm.nih.gov/pubmed/37034481 http://dx.doi.org/10.3389/fdmed.2022.1009264 |
_version_ | 1785020600338612224 |
---|---|
author | Winchester, Emma Wentworth Hardy, Alexis Cotney, Justin |
author_facet | Winchester, Emma Wentworth Hardy, Alexis Cotney, Justin |
author_sort | Winchester, Emma Wentworth |
collection | PubMed |
description | Human odontogenic aberrations such as abnormal tooth number and delayed tooth eruption can occur as a symptom of rare syndromes or, more commonly, as nonsyndromic phenotypes. These phenotypes can require extensive and expensive dental treatment, posing a significant burden. While many dental phenotypes are heritable, most nonsyndromic cases have not been linked to causal genes. We demonstrate the novel finding that common sequence variants associated with human odontogenic phenotypes are enriched in developmental craniofacial enhancers conserved between human and mouse. However, the bulk nature of these samples obscures if this finding is due to the tooth itself or the surrounding tissues. We therefore sought to identify enhancers specifically active in the tooth anlagen and quantify their contribution to the observed genetic enrichments. We systematically identified 22,001 conserved enhancers active in E13.5 mouse incisors using ChIP-seq and machine learning pipelines and demonstrated biologically relevant enrichments in putative target genes, transcription factor binding motifs, and in vivo activity. Multi-tissue comparisons of human and mouse enhancers revealed that these putative tooth enhancers had the strongest enrichment of odontogenic phenotype-associated variants, suggesting a role for dysregulation of tooth developmental enhancers in human dental phenotypes. The large number of these regions genome-wide necessitated prioritization of enhancer loci for future investigations. As enhancers modulate gene expression, we prioritized regions based on enhancers’ putative target genes. We predicted these target genes and prioritized loci by integrating chromatin state, bulk gene expression and coexpression, GWAS variants, and cell type resolved gene expression to generate a prioritized list of putative odontogenic phenotype-driving loci active in the developing tooth. These genomic regions are of particular interest for downstream experiments determining the role of specific dental enhancer:gene pairs in odontogenesis. |
format | Online Article Text |
id | pubmed-10078798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-100787982023-04-06 Integration of multimodal data in the developing tooth reveals candidate regulatory loci driving human odontogenic phenotypes Winchester, Emma Wentworth Hardy, Alexis Cotney, Justin Front Dent Med Article Human odontogenic aberrations such as abnormal tooth number and delayed tooth eruption can occur as a symptom of rare syndromes or, more commonly, as nonsyndromic phenotypes. These phenotypes can require extensive and expensive dental treatment, posing a significant burden. While many dental phenotypes are heritable, most nonsyndromic cases have not been linked to causal genes. We demonstrate the novel finding that common sequence variants associated with human odontogenic phenotypes are enriched in developmental craniofacial enhancers conserved between human and mouse. However, the bulk nature of these samples obscures if this finding is due to the tooth itself or the surrounding tissues. We therefore sought to identify enhancers specifically active in the tooth anlagen and quantify their contribution to the observed genetic enrichments. We systematically identified 22,001 conserved enhancers active in E13.5 mouse incisors using ChIP-seq and machine learning pipelines and demonstrated biologically relevant enrichments in putative target genes, transcription factor binding motifs, and in vivo activity. Multi-tissue comparisons of human and mouse enhancers revealed that these putative tooth enhancers had the strongest enrichment of odontogenic phenotype-associated variants, suggesting a role for dysregulation of tooth developmental enhancers in human dental phenotypes. The large number of these regions genome-wide necessitated prioritization of enhancer loci for future investigations. As enhancers modulate gene expression, we prioritized regions based on enhancers’ putative target genes. We predicted these target genes and prioritized loci by integrating chromatin state, bulk gene expression and coexpression, GWAS variants, and cell type resolved gene expression to generate a prioritized list of putative odontogenic phenotype-driving loci active in the developing tooth. These genomic regions are of particular interest for downstream experiments determining the role of specific dental enhancer:gene pairs in odontogenesis. 2022 2022-11-30 /pmc/articles/PMC10078798/ /pubmed/37034481 http://dx.doi.org/10.3389/fdmed.2022.1009264 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . 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 | Article Winchester, Emma Wentworth Hardy, Alexis Cotney, Justin Integration of multimodal data in the developing tooth reveals candidate regulatory loci driving human odontogenic phenotypes |
title | Integration of multimodal data in the developing tooth reveals
candidate regulatory loci driving human odontogenic phenotypes |
title_full | Integration of multimodal data in the developing tooth reveals
candidate regulatory loci driving human odontogenic phenotypes |
title_fullStr | Integration of multimodal data in the developing tooth reveals
candidate regulatory loci driving human odontogenic phenotypes |
title_full_unstemmed | Integration of multimodal data in the developing tooth reveals
candidate regulatory loci driving human odontogenic phenotypes |
title_short | Integration of multimodal data in the developing tooth reveals
candidate regulatory loci driving human odontogenic phenotypes |
title_sort | integration of multimodal data in the developing tooth reveals
candidate regulatory loci driving human odontogenic phenotypes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078798/ https://www.ncbi.nlm.nih.gov/pubmed/37034481 http://dx.doi.org/10.3389/fdmed.2022.1009264 |
work_keys_str_mv | AT winchesteremmawentworth integrationofmultimodaldatainthedevelopingtoothrevealscandidateregulatorylocidrivinghumanodontogenicphenotypes AT hardyalexis integrationofmultimodaldatainthedevelopingtoothrevealscandidateregulatorylocidrivinghumanodontogenicphenotypes AT cotneyjustin integrationofmultimodaldatainthedevelopingtoothrevealscandidateregulatorylocidrivinghumanodontogenicphenotypes |