Additional file 10 of Chromatin accessibility differences between alpha, beta, and delta cells identifies common and cell type-specific enhancers

Additional file 10: Supplemental Figure 6. Evaluating KEGG and gene network enrichment (Beta versus Delta)

Additional file 5 of Chromatin accessibility differences between alpha, beta, and delta cells identifies common and cell type-specific enhancers

Additional file 5: Supplemental Figure 1. FACS sorting gates used to isolate alpha, beta, and delta cells through our mouse reporter lines

Additional file 14 of Chromatin accessibility differences between alpha, beta, and delta cells identifies common and cell type-specific enhancers

Additional file 14: Supplemental Table 1. Quality control metrics across all ATAC-Seq replicates

Additional file 12 of Chromatin accessibility differences between alpha, beta, and delta cells identifies common and cell type-specific enhancers

Additional file 12: Supplemental Figure 8. Aggregated transcription factor ATAC Seq and companion RNA-Seq expression in alpha, beta, and delta cells

Additional file 6 of Chromatin accessibility differences between alpha, beta, and delta cells identifies common and cell type-specific enhancers

Additional file 6: Supplemental Figure 2. Validating more chromatin accessibility ATAC Seq and companion RNA-Seq expression in alpha, beta, and delta cells against hallmark genes governing its respective cell’s identity

Additional file 1 of Chromatin accessibility differences between alpha, beta, and delta cells identifies common and cell type-specific enhancers

Additional file 1: Dataset-S1. Annotated consensus chromatin peak set across alpha, beta and delta cells, along with differential enrichment results between the three pairwise comparisons

Additional file 16 of Chromatin accessibility differences between alpha, beta, and delta cells identifies common and cell type-specific enhancers

Additional file 16: Supplemental Table 3. Validating open chromatin peaks against known pancreatic islet ChIP binding sites. A: Evaluating the extent of open chromatin– as defined by our ATAC-Seq consensus peak set – contained binding sites for known, pancreatic islet transcription factors. Percent of open chromatin with associated binding sites ranged from 0.31-29.07%. The transcription factors Foxa2, Insm1, and Neurod1 had the highest number of binding sites. B: Evaluating the extent of each ChIP-Seq experiment’s binding site calls overlapped with open chromatin. Percent of overlap ranged from 0.35-63.79%. Nkx2.2, Neurod1, and Insm1 had the greatest overlap

Additional file 9 of Chromatin accessibility differences between alpha, beta, and delta cells identifies common and cell type-specific enhancers

Additional file 9: Supplemental Figure 5. Evaluating KEGG and gene network enrichment (Alpha versus Delta)

Additional file 3 of Chromatin accessibility differences between alpha, beta, and delta cells identifies common and cell type-specific enhancers

Additional file 3: Dataset-S3. Unfiltered putative enhancer calls defined by open chromatin region in at least one of three cell types, overlapping the histone markers H3K27ac and H3K4me1

Additional file 2 of Chromatin accessibility differences between alpha, beta, and delta cells identifies common and cell type-specific enhancers

Additional file 2: Dataset-S2. Congruent and incongruent genes of differentially expressed genes between the three pairwise comparisons. Congruent genes showed gene expression in the same direction as chromatin accessibility enrichment, whereas incongruent genes had opposing expression and enrichment