Figure 1.

A systematic approach to identify and validate candidate transcription factors in E. coli K-12 MG1655. The approach used in this study can be divided into four steps: 1) we examined 40 computationally predicted candidate TFs from our previous study; 2) for each candidate TF, we highlighted its structural features based on the annotation from hidden Markov models; 3) we performed experimental validation using multiplexed ChIP-exo; and 4) we combined the binding sites with expression profiling data to characterize regulatory roles of representative TFs with a suite of experimental tests.