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Loss of extreme long-range enhancers in human neural crest drives a craniofacial disorder

GSE145327 Homo sapiens Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other 80 samples Submitted 2020/09/28 Platform GPL20301Platform GPL18573
Summary
Non-coding mutations at the far end of a large gene desert surrounding the SOX9 gene result in a human craniofacial disorder called Pierre Robin sequence (PRS). In this study we utilise epigenomic profiling of histone modifications and coactivator binding using ChIP-seq and chromatin accessibility using ATAC-seq to map cis-regulatory enhancer elements within the PRS locus during differentiation of human embryonic stem cells to cranial neural crest and chondrocytes. Strikingly, these enhancers are located up to 1.45 Mb away from the SOX9 gene promoter. We further perform RNA-sequencing to determine gene expression changes during the differentiation and identify potential transcription factors that regulate enhancer activity during CNCC development, including TWIST1. We utilise Capture-C from the SOX9 promoter to profile long-range interactions with the distal PRS-associated enhancer elements, and we confirm these interactions using reciprocal Capture-C from the identified candidate enhancer elements. Finally, we phase the H9 human embryonic stem cell line using 10X genomics linked-read sequencing in order link genetically edited alleles to gene expresssion changes in cis. Overall, we characterize the longest-range human enhancers involved in congenital malformations, directly demonstrate that PRS is an enhanceropathy, and identify one factor that may contribute to enhancer function in a developmentally-regulated manner.
Published in
Loss of Extreme Long-Range Enhancers in Human Neural Crest Drives a Craniofacial Disorder
Long HK, Osterwalder M, Welsh IC et al. · Cell stem cell 2020 · PMID 32991838 · doi:10.1016/j.stem.2020.09.001
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Also filed as BioProject PRJNA606766 and SRA study SRP249553. Searching any of these in the dataset finder brings you back here.

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