“…As examples, we performed two analyses that exemplify the versatility of our dataset. First, orthogonal motif analysis that considers both time- and cell-resolved data points (Figure 2E) permitted us to draw the following conclusions: i) the predominant, if not unique, response of Wnt/β-catenin to GSK3 inhibition in HEK293T is mediated by TCF/LEF transcription factors, in agreement with previous studies (Schuijers et al, 2014); ii) contributions of other transcription factors, such as the CDX homeobox proteins (Ramakrishnan et al, 2021), could fine-tune this response; iii) in hESCs, the TCF/LEF footprint is accompanied by motifs for OCT4 (Kelly et al, 2011) and those of other pluripotency factors (Cole et al, 2008), followed by a gradual appearance of GATA consensus sequences that mark mesoderm differentiation (Molkentin et al, 1997). As a second analysis, we searched for the biological processes underlying β-catenin time-course cell-specific behavior by generating a peak-to-gene(s) annotation based both on proximity and functional characterization of regulatory regions using GREAT (McLean et al, 2010), to then assign cell-specific biological processes that emerge across time after stimulation (Figure 2F, G, Figure S2).…”