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Integrative analysis of transcriptome dynamics during human craniofacial development identifies candidate disease genes

Author

Listed:
  • Tara N. Yankee

    (UConn Health)

  • Sungryong Oh

    (University of Connecticut School of Medicine, Department of Genetics and Genome Sciences)

  • Emma Wentworth Winchester

    (UConn Health)

  • Andrea Wilderman

    (UConn Health)

  • Kelsey Robinson

    (Emory University School of Medicine)

  • Tia Gordon

    (Baylor College of Medicine)

  • Jill A. Rosenfeld

    (Baylor College of Medicine
    Baylor Genetics Laboratory)

  • Jennifer VanOudenhove

    (University of Connecticut School of Medicine, Department of Genetics and Genome Sciences)

  • Daryl A. Scott

    (Baylor College of Medicine
    Baylor College of Medicine)

  • Elizabeth J. Leslie

    (Emory University School of Medicine)

  • Justin Cotney

    (University of Connecticut School of Medicine, Department of Genetics and Genome Sciences
    University of Connecticut)

Abstract

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.

Suggested Citation

  • Tara N. Yankee & Sungryong Oh & Emma Wentworth Winchester & Andrea Wilderman & Kelsey Robinson & Tia Gordon & Jill A. Rosenfeld & Jennifer VanOudenhove & Daryl A. Scott & Elizabeth J. Leslie & Justin , 2023. "Integrative analysis of transcriptome dynamics during human craniofacial development identifies candidate disease genes," Nature Communications, Nature, vol. 14(1), pages 1-23, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40363-1
    DOI: 10.1038/s41467-023-40363-1
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    1. Sudha Sunil Rajderkar & Kitt Paraiso & Maria Luisa Amaral & Michael Kosicki & Laura E. Cook & Fabrice Darbellay & Cailyn H. Spurrell & Marco Osterwalder & Yiwen Zhu & Han Wu & Sarah Yasmeen Afzal & Ma, 2024. "Dynamic enhancer landscapes in human craniofacial development," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    2. Andrea Wilderman & Eva D’haene & Machteld Baetens & Tara N. Yankee & Emma Wentworth Winchester & Nicole Glidden & Ellen Roets & Jo Dorpe & Sandra Janssens & Danny E. Miller & Miranda Galey & Kari M. B, 2024. "A distant global control region is essential for normal expression of anterior HOXA genes during mouse and human craniofacial development," Nature Communications, Nature, vol. 15(1), pages 1-23, December.

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