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整合转录组和网络分析揭示颅骨缝愈合的时空动态。

Integrated Transcriptome and Network Analysis Reveals Spatiotemporal Dynamics of Calvarial Suturogenesis.

机构信息

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

出版信息

Cell Rep. 2020 Jul 7;32(1):107871. doi: 10.1016/j.celrep.2020.107871.

Abstract

Craniofacial abnormalities often involve sutures, the growth centers of the skull. To characterize the organization and processes governing their development, we profile the murine frontal suture, a model for sutural growth and fusion, at the tissue- and single-cell level on embryonic days (E)16.5 and E18.5. For the wild-type suture, bulk RNA sequencing (RNA-seq) analysis identifies mesenchyme-, osteogenic front-, and stage-enriched genes and biological processes, as well as alternative splicing events modifying the extracellular matrix. Single-cell RNA-seq analysis distinguishes multiple subpopulations, of which five define a mesenchyme-osteoblast differentiation trajectory and show variation along the anteroposterior axis. Similar analyses of in vivo mouse models of impaired frontal suturogenesis in Saethre-Chotzen and Apert syndromes, Twist1 and Fgfr2, demonstrate distinct transcriptional changes involving angiogenesis and ribogenesis, respectively. Co-expression network analysis reveals gene expression modules from which we validate key driver genes regulating osteoblast differentiation. Our study provides a global approach to gain insights into suturogenesis.

摘要

颅面异常通常涉及骨缝,即颅骨的生长中心。为了描述控制其发育的组织和过程的特征,我们在胚胎期 (E)16.5 和 E18.5 时,从组织和单细胞水平对小鼠额缝进行了研究,该缝是缝合并融合的模型。对于野生型缝,大量 RNA 测序 (RNA-seq) 分析确定了间充质、成骨前沿和阶段特异性基因和生物学过程,以及修饰细胞外基质的选择性剪接事件。单细胞 RNA-seq 分析区分了多个亚群,其中五个亚群定义了间充质 - 成骨细胞分化轨迹,并沿前后轴表现出变化。对 Saethre-Chotzen 和 Apert 综合征、Twist1 和 Fgfr2 中受损的额缝发生的体内小鼠模型的类似分析表明,分别涉及血管生成和肋骨发生的转录变化。共表达网络分析揭示了我们验证调节成骨细胞分化的关键驱动基因的基因表达模块。我们的研究提供了一种全面的方法,可以深入了解缝发生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e08d/7379176/43177695cc0d/nihms-1610246-f0002.jpg

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