Transcriptional regulation via protein-DNA interactions plays an important role in the regulatory networks of allknown organisms. Bacterial regulatory networks are now an especially fruitful target for detailed investigation:as antibiotic-resistant bacteria continue to emerge as a global health threat, new and innovative approaches toeither preventing virulence or impairing bacterial growth are required. As our ability to predict and exploitbacterial behavior for therapeutic purposes hinges on our understanding of the logic behind their regulatorynetworks, it is of great utility to fully map those networks and the molecular mechanisms underlying them. Several challenges, both old and newly recognized, stand in the way of a comprehensiveunderstanding of regulatory logic, even in well-studied models such as Escherichia coli. Progress in mappingbacterial regulatory networks has in general been slow, requiring a steady march of mapping binding sites ofone transcription factor (TF) at a time. Even when such experiments are done, they can typically be performedonly under a handful of physiological conditions, and thus may miss key contributions of a transcription factorin responding to specific environmental triggers. In addition, contrary to prevailing dogma over the last severaldecades, we and others have recently gathered substantial evidence that bacterial chromosomes are in factnot universally accessible to transcription, but rather, that they are packaged by densely protein occupiedheterochromatin-like regions that we refer to as EPODs, which influence both overall chromosomalarchitecture and transcriptional regulation in particular. Progress in the area of fully charting bacterial regulationof transcription via DNA binding proteins thus simultaneously requires more efficient coverage of transcriptionfactor space and an improved understanding of the role of larger-scale protein occupancy in gene regulation. We have optimized a technology referred to as IPODHR for overall profiling of protein occupancy onbacterial genomes, similar to the signal provided by ATAC-seq in eukaryotes. Building on IPODHR data sets asa cornerstone, we are pursuing several highly innovative and efficient approaches to expand ourunderstanding of bacterial regulatory networks:Massively parallel profiling of TF occupancy. Tracking IPODHR signal across known TF binding sites, intandem with appropriate bioinformatic analysis, provides occupancy information on dozens of known TFs in asingle experiment. We will utilize this technology to profile TF binding under a broad range of conditions.Identification of orphan TFs. IPODHR profiles enable us to identify active regulatory sites under conditions ofinterest, and identify the responsible TFs through follow-up experiments and bioinformatics.Regulatory roles and molecular biology of EPODs. IPODHR has revealed the presence of EPODs across awide range of bacterial taxa, and we will determine the full impact of EPODs on condition-dependent generegulation, and the molecular mechanisms through which these regions are established.