Jason M. Rizzo, Rose-Anne Romano, Jonathan Bard, Satrajit Sinha 

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RNA-seq Studies Reveal New Insights into p63 and the Transcriptomic Landscape of the Mouse Skin  Jason M. Rizzo, Rose-Anne Romano, Jonathan Bard, Satrajit Sinha  Journal of Investigative Dermatology  Volume 135, Issue 2, Pages 629-632 (February 2015) DOI: 10.1038/jid.2014.384 Copyright © 2015 The Society for Investigative Dermatology, Inc Terms and Conditions

Figure 1 Deep sequencing of RNA from mouse skin resolves isoform-specific expression patterns of Trp63. (a) Cartoon depicting the mouse Trp63 genomic structure and the various protein domains. FPKM, fragments per kilobase of transcript per million; Oligo, oligomerization; RNA-seq, RNA-sequence; SAM, sterile alpha motif; TID, transactivation-inhibitory domain; UTR, untranslated region; wks, weeks. (b) Snapshot on UCSC genome browser (http://genome.ucsc.edu/cgi-bin/hgGateway) illustrating the average distribution and frequency of aligned RNA-seq reads (standardized to 10 million reads/experiment) at the Trp63 locus across experimental replicates for mouse skin samples. (c) Heatmap depicting the isoform-specific expression profile for Trp63 gene products across experimental replicates for mouse skin samples at three different stages. Journal of Investigative Dermatology 2015 135, 629-632DOI: (10.1038/jid.2014.384) Copyright © 2015 The Society for Investigative Dermatology, Inc Terms and Conditions

Figure 2 Meta-analysis of organ and tissue-specific expression patterns of transcriptional regulators reveals cofactors and their relationships with Trp63. (a) Hierarchical clustering of relative gene-level expression changes (fold change above experimental median) for 1,544 transcriptional regulators (rows) across 36 mouse organs and tissues (columns). Mouse skin data from this study are highlighted by red (dendogram). The Trp63-containing cluster is also highlighted by red (dendogram) and yellow dashed box (expression data). The degree of change is indicated by the color bars. (b) Close-up view of the 15 transcriptional regulators with the strongest correlation to Trp63 expression patterns across all mouse organ and tissue types. The Heatmap illustrates relative expression profiles for selected organs and tissues. The degree of change is indicated by the color bars. RNA-seq, RNA-sequence. Journal of Investigative Dermatology 2015 135, 629-632DOI: (10.1038/jid.2014.384) Copyright © 2015 The Society for Investigative Dermatology, Inc Terms and Conditions