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Integrative analysis of transcriptome dynamics during human craniofacial development identifies candidate disease genes
Craniofacial disorders arise in early pregnancy and are one of the most common congenital defects. To fully understand how craniofacial disorders arise, it is essential to characterize gene expression during the patterning of the craniofacial region. To address this, we performed bulk and single-cel...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397224/ https://www.ncbi.nlm.nih.gov/pubmed/37532691 http://dx.doi.org/10.1038/s41467-023-40363-1 |
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author | Yankee, Tara N. Oh, Sungryong Winchester, Emma Wentworth Wilderman, Andrea Robinson, Kelsey Gordon, Tia Rosenfeld, Jill A. VanOudenhove, Jennifer Scott, Daryl A. Leslie, Elizabeth J. Cotney, Justin |
author_facet | Yankee, Tara N. Oh, Sungryong Winchester, Emma Wentworth Wilderman, Andrea Robinson, Kelsey Gordon, Tia Rosenfeld, Jill A. VanOudenhove, Jennifer Scott, Daryl A. Leslie, Elizabeth J. Cotney, Justin |
author_sort | Yankee, Tara N. |
collection | PubMed |
description | Craniofacial disorders arise in early pregnancy and are one of the most common congenital defects. To fully understand how craniofacial disorders arise, it is essential to characterize gene expression during the patterning of the craniofacial region. To address this, we performed bulk and single-cell RNA-seq on human craniofacial tissue from 4-8 weeks post conception. Comparisons to dozens of other human tissues revealed 239 genes most strongly expressed during craniofacial development. Craniofacial-biased developmental enhancers were enriched +/− 400 kb surrounding these craniofacial-biased genes. Gene co-expression analysis revealed that regulatory hubs are enriched for known disease causing genes and are resistant to mutation in the normal healthy population. Combining transcriptomic and epigenomic data we identified 539 genes likely to contribute to craniofacial disorders. While most have not been previously implicated in craniofacial disorders, we demonstrate this set of genes has increased levels of de novo mutations in orofacial clefting patients warranting further study. |
format | Online Article Text |
id | pubmed-10397224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103972242023-08-04 Integrative analysis of transcriptome dynamics during human craniofacial development identifies candidate disease genes Yankee, Tara N. Oh, Sungryong Winchester, Emma Wentworth Wilderman, Andrea Robinson, Kelsey Gordon, Tia Rosenfeld, Jill A. VanOudenhove, Jennifer Scott, Daryl A. Leslie, Elizabeth J. Cotney, Justin Nat Commun Article Craniofacial disorders arise in early pregnancy and are one of the most common congenital defects. To fully understand how craniofacial disorders arise, it is essential to characterize gene expression during the patterning of the craniofacial region. To address this, we performed bulk and single-cell RNA-seq on human craniofacial tissue from 4-8 weeks post conception. Comparisons to dozens of other human tissues revealed 239 genes most strongly expressed during craniofacial development. Craniofacial-biased developmental enhancers were enriched +/− 400 kb surrounding these craniofacial-biased genes. Gene co-expression analysis revealed that regulatory hubs are enriched for known disease causing genes and are resistant to mutation in the normal healthy population. Combining transcriptomic and epigenomic data we identified 539 genes likely to contribute to craniofacial disorders. While most have not been previously implicated in craniofacial disorders, we demonstrate this set of genes has increased levels of de novo mutations in orofacial clefting patients warranting further study. Nature Publishing Group UK 2023-08-02 /pmc/articles/PMC10397224/ /pubmed/37532691 http://dx.doi.org/10.1038/s41467-023-40363-1 Text en © The Author(s) 2023 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yankee, Tara N. Oh, Sungryong Winchester, Emma Wentworth Wilderman, Andrea Robinson, Kelsey Gordon, Tia Rosenfeld, Jill A. VanOudenhove, Jennifer Scott, Daryl A. Leslie, Elizabeth J. Cotney, Justin Integrative analysis of transcriptome dynamics during human craniofacial development identifies candidate disease genes |
title | Integrative analysis of transcriptome dynamics during human craniofacial development identifies candidate disease genes |
title_full | Integrative analysis of transcriptome dynamics during human craniofacial development identifies candidate disease genes |
title_fullStr | Integrative analysis of transcriptome dynamics during human craniofacial development identifies candidate disease genes |
title_full_unstemmed | Integrative analysis of transcriptome dynamics during human craniofacial development identifies candidate disease genes |
title_short | Integrative analysis of transcriptome dynamics during human craniofacial development identifies candidate disease genes |
title_sort | integrative analysis of transcriptome dynamics during human craniofacial development identifies candidate disease genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397224/ https://www.ncbi.nlm.nih.gov/pubmed/37532691 http://dx.doi.org/10.1038/s41467-023-40363-1 |
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