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Single-cell multiomics decodes regulatory programs for mouse secondary palate development.

ABSTRACT: Perturbations in gene regulation during palatogenesis can lead to cleft palate, which is among the most common congenital birth defects. Here, we perform single-cell multiome sequencing and profile chromatin accessibility and gene expression simultaneously within the same cells (n = 36,154) isolated from mouse secondary palate across embryonic days (E) 12.5, E13.5, E14.0, and E14.5. We construct five trajectories representing continuous differentiation of cranial neural crest-derived multipotent cells into distinct lineages. By linking open chromatin signals to gene expression changes, we characterize the underlying lineage-determining transcription factors. In silico perturbation analysis identifies transcription factors SHOX2 and MEOX2 as important regulators of the development of the anterior and posterior palate, respectively. In conclusion, our study charts epigenetic and transcriptional dynamics in palatogenesis, serving as a valuable resource for further cleft palate research.

SUBMITTER: Yan F

PROVIDER: S-EPMC10821874 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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Single-cell multiomics decodes regulatory programs for mouse secondary palate development.

Yan Fangfang F Suzuki Akiko A Iwaya Chihiro C Pei Guangsheng G Chen Xian X Yoshioka Hiroki H Yu Meifang M Simon Lukas M LM Iwata Junichi J Zhao Zhongming Z

Nature communications 20240127 1

Perturbations in gene regulation during palatogenesis can lead to cleft palate, which is among the most common congenital birth defects. Here, we perform single-cell multiome sequencing and profile chromatin accessibility and gene expression simultaneously within the same cells (n = 36,154) isolated from mouse secondary palate across embryonic days (E) 12.5, E13.5, E14.0, and E14.5. We construct five trajectories representing continuous differentiation of cranial neural crest-derived multipotent ...[more]

PMID: 38280850

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Project description:PurposeWound healing is crucial for restoring homeostasis in living organisms. Although wound response mechanisms have been studied extensively, the gene regulatory programs involved remain to be elucidated. Here, we used single-cell RNA sequencing (RNA-seq) and ATAC sequencing (ATAC-seq) analysis to profile the regulatory landscape of mouse corneal epithelium in early wound response.MethodsWe used our previously published single-cell data sets of homeostatic adult mouse corneal epithelium as the unwounded group. The wounded group data sets were obtained by sequencing the epithelium after an annular epithelial wound. Following the integration of the relevant data sets, the Seurat and ArchR packages were employed for single-cell RNA-seq and single-cell ATAC-seq data processing and downstream analysis, respectively. The Monocle 2 was used for pseudo-time analysis, CellChat for intercellular communication analysis, and pySCENIC for analyzing transcription factors. The expression of key genes was validated via immunofluorescence staining and quantitative real-time PCR.ResultsOur data show that the number of cell type-specific genes decreases and the number of common transcriptional responses increases in early wound response. Concurrently, we find that the chromatin accessibility landscape undergoes significant changes across all epithelial cell types and that the wound-induced open regions are similarly distributed across the genome. Motif enrichment analysis shows that Fosl1/AP-1 binding site is highly enriched among the opened regions. However, by assessing the correlation between changes in chromatin accessibility and gene expression, we observe that only a small subset of wound-induced genes shows a high correlation with the accessibility of nearby chromatin.ConclusionsOur study provides a detailed single-cell landscape for transcriptomic and epigenetic changes in mouse corneal epithelium during early wound response, which improved our understanding of the mechanisms of wound healing.

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Single-cell multiomics decodes regulatory programs for mouse secondary palate development.

Publications

Single-cell multiomics decodes regulatory programs for mouse secondary palate development.

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