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. 2020 May 18;11:2472. doi: 10.1038/s41467-020-16106-x

Fig. 2. Long-range TFs and short-range TFs have distinct binding profiles.

Fig. 2

a Top: heatmap of average H3K27ac levels in 3051 TADs across 1544 samples. Hierarchical clustering derives 10 TAD clusters and 10 sample clusters, with TAD clusters re-ordered using mean H3K27ac abundances. 316 A-type TADs and 649 B-type TADs correspond to high and low H3K27ac levels in the majority of samples. Bottom: percentage of Hi-C derived compartment A in TAD clusters. The box plot extends from the lower to the upper quartile values of the data, with a line at the median. The whiskers extend from the box to show the range of the data. b Top: ChIP-seq peak numbers per kb in TADs across 1396 samples. For each TF ChIP-seq sample only the most significant 20,000 peaks are used, and the TADs are ordered as in Fig. 2a. Bottom: the relative occupancies (z scores) of YY1 and TEAD1 in TAD clusters. The relative occupancy of TF i in a given TAD is the binding density of the TF in that TAD relative to the binding densities of other TFs in the same TAD. The box plot illustrates data as a. c TEAD1 target TADs are defined as those TADs with a TEAD1 occupancy ≥1 standard deviation among all TFs (z scores ≥ 1). d In SF269 cell, TEAD1 ChIP-seq peaks and H3K27ac signals colocalize well in a TEAD1 target TAD, but not in a non-target one. Source data are provided as a Source Data file.