Fig. 1: Transcriptomic profiling of early human craniofacial development. | Nature Communications

Fig. 1: Transcriptomic profiling of early human craniofacial development.

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

Fig. 1

a Overview of experimental design. Bulk mRNA-seq was performed on five-timepoints of the primary CF tissue and a cell culture model of CNCCs. The Rail-RNA/recount2 pipeline was used for alignment and gene-level transcript quantification. In order to determine potential disease genes within craniofacial development, several downstream computational analyses were performed, such as multi-tissue comparisons, pairwise differential expression, and the generation of coexpression networks. Created with BioRender.com. b PCA plot showing samples (identified by color) vary the most by time which is captured by PC1. c Violin plots of PAX7 and SOD1 expression across all samples per tissue surveyed. Comparison of PAX7 between CNCC and craniofacial using a two-sided Mann-Whitney test showed a non-significant difference. d PCA plot of the top 5000 most variable genes between H9 ESCs, H9 derived CNCCs, the early primary craniofacial tissue, embryonic heart, fetal brain, and 12 random samples from each of the primary tissues available in GTEx.

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