Both methods generated similar binding profiles, with all of the ETS factors binding to the previously described core GGA(A/T) motif.
We analyzed the resulting antibody binding profiles with regression methods and formulated a minimal model to explain our findings.
Vascular endothelial growth factor comprises four ligands (VEGF-A, VEGF-B, VEGF-C and VEGF-D), which exhibit specific binding profiles with three transmembrane VEGF receptors (VEGF-I, -II and -III) and promote intracellular tyrosine kinase cascades when activated.
Next, we compared insulator binding profiles with the LAD pattern.
Integration of binding profiles with gene expression highlighted FOXM1 transcriptional networks controlling cell proliferation, stem cell properties, invasion and metastasis.
H10-mallard and H10-JD346 similarsimilar binding profiles with preferential binding for SAα2,3 and binding to SAα2,6 slightly higher than that for the negative control.
Combining the covariation results also allowed us to predict binding profiles with higher reliability than two other methods that do not explicitly take residue covariation into account.
To understand the genome-wide binding of MSL and NSL, we compared by k-means clustering either Msl1, or Nsl1 binding profiles with that of Mof and the presence of H4K16ac at 30,300 ENSEMBL transcription start sites (TSSs).
Unlike octreotide, which has high affinity for sst2, pasireotide has a multi-receptor binding profile, with affinity for sst1,2,3 and sst5.
Comparison of the p73 binding profile with the previously described p63 binding profile [24] reveals a striking overlap between p63 and p73 binding sites in ME180 cells.
