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. 2013 May 1;8(5):e63407. doi: 10.1371/journal.pone.0063407

Figure 1. Transdifferentiation factors are more highly expressed in target cell types and more PcG repressed in source cell types.

Figure 1

(A) Gene expression and H3K27me3 histone modification levels as measured by RNA-seq and ChIP-seq, respectively, are shown for MyoD1, a factor that converts fibroblasts to myoblasts [12]. Reads are displayed (units of reads per ten million mapped reads) across the MyoD1 locus and 1 kb regions flanking the gene. The arrow above the gene structure denotes direction of transcription. Data from [55], [56]. (B) Differential expression and modification levels are shown for all transcription factors [15] (nā€Š=ā€Š1,356) annotated in the mouse genome (grey points), including MyoD1 (blue point). (C,D) Similar plots to (A,B) are shown for factors that convert fibroblast to neural stem cells (SOX2, FOXG1, POU3F2 [14]) and a TF with an opposite genomic pattern (TWIST1). The box in the lower right-hand quadrant highlights nine other TFs (black points) (of 1,447 total annotated human TFs [15]) with differential expression and modification levels similar to the transdifferentiation factors (blue points). Data from ([57], [58]) and the Roadmap Epigenomics Project (http://roadmapepigenomics.org). (E,F) Similar plots to (A, B) are shown for factors that convert liver to pancreas (Pdx1 [21]; blue point), pancreas to liver (Cebpa and Cebpb [22]; orange points), and three other TFs with similar genomic patterns (Id1, Pax6, Nkx6-1; black points). Data from [59]ā€“[61] and two other public datasets (Table S1).