Sentence examples for binding TFs can be from inspiring English sources

Nevertheless, sets of jointly binding TFs can be specified.

In a previous analysis it has been proposed that DNA-binding TFs can be grouped into protein families based on their amino acid sequence similarity [ 4].

That is, the binding targets of TFs can be identified by the ChIP experiments.

Dehydration-responsive element-binding protein (DREB) TFs can be either up- or down-regulated by heavy metals like cadmium and copper (Ogawa et al. 2009;Ban et al. 2011).

We compiled a list of 118 binding matrices for this analysis, but if binding profiles for other TFs can be generated from a reasonable number of known binding sites, we could identify more TFs that possibly regulate the accumulation of seed storage reserves.

Through identification of TF binding, the regulatory role of TFs can be inferred.

While a number of the binding proteins or target genes of bZIP TFs can be retrieved from HPRD or TRANSFAC [ 8, 9], the currently available data are relatively limited, and do not necessarily cover the entire cellular network.

Similarly, synthetic TFs can be constructed using a variety of DNA binding domains (DBDs) and effector domains.

Furthermore, we conclude that statistical redundancy between individual TFs can be readily explained by nucleosome-mediated cooperative binding.

Most transcription factors (TFs) can be grouped into families of shared conserved DNA-binding structures that are usually identified by common ancestry inferred from sequence homology (Papavassiliou, 1995).

Motif enrichment analysis of ChIP-seq data sets indicated that sequence-specific TFs can be recruited in a spatially constrained manner around MyoD1-binding sites.