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. Author manuscript; available in PMC: 2014 Sep 4.
Published in final edited form as: Nature. 2012 Sep 6;489(7414):91–100. doi: 10.1038/nature11245

Figure 1. TF Co-association.

Figure 1

(a) The co-binding map for the GATA1 focus-factor context in K562 shows the binding intensity of peaks of all TFs in K562 (rows) that overlap each GATA1 peak (columns). The colored rectangles represent 8 key clusters consisting of different combinations of co-associating partner-factors.

(b) The GATA1 context-specific relative importance scores (RI) of all partner-factors (top) and the matrix of co-association scores (CS) between all pairs of TFs (bottom). Primary and local partners of GATA have high RI scores. The co-association score matrix captures the 8 clusters observed in (a).

(c) Different partner-factors are preferentially enriched at gene-distal (positive differential RI) and proximal (negative differential RI) GATA1 peaks.

(d) The aggregate factor importance matrix, obtained by stacking the RI of all partner-factors (columns) from all focus-factor contexts (rows) in K562, shows 9 functionally distinct clusters (C1 to C9) of contexts that can be broadly grouped as distal, proximal, mixed, and repressive. The blue rectangles highlight representative partner-factors with high RI in the clusters. The arrow from (b) to (d) indicates that the GATA1 context-specific RI scores form one row in this matrix.

(e) Co-association variability map of partners (columns) of GATA1 (left panel) and FOS (right panel) over all K562 focus-factor contexts (rows). TAL1 and GATA2 show consistently high CS with GATA1 over most focus-factor contexts, but JUND shows context-specific co-association. FOS shows dramatic changes in CS of partner-factors over different contexts (e.g. FOS-JUND in distal contexts and FOS-SP2 in proximal ones).

(More details in Fig. S2c, S2f-1, S2d, S2l-2.)