CME preferences and perspectives among practicing radiologists.

Rationale And Objectives: To evaluate radiologists' perspectives regarding American Medical Association Category 1 Continuing Medical Education (Cat-1 CME) activities in private practice (PP) and teleradiology (TR), as well as American Board of Radiology Maintenance of Certification (ABR MOC) program participation status.

Materials And Methods: An electronic survey informed by existing literature regarding physician Cat-1 CME use and opinions was distributed via email to a national radiology practice. The survey was open for seventeen days in 2023, with a single reminder.

Revealing systematic changes in the transcriptome during the transition from exponential growth to stationary phase.

Unlabelled: The composition of bacterial transcriptomes is determined by the transcriptional regulatory network (TRN). The TRN regulates the transition from one physiological state to another. Here, we use independent component analysis to monitor the composition of the transcriptome during the transition from the exponential growth phase to the stationary phase.

iModulonMiner and PyModulon: Software for unsupervised mining of gene expression compendia.

Public gene expression databases are a rapidly expanding resource of organism responses to diverse perturbations, presenting both an opportunity and a challenge for bioinformatics workflows to extract actionable knowledge of transcription regulatory network function. Here, we introduce a five-step computational pipeline, called iModulonMiner, to compile, process, curate, analyze, and characterize the totality of RNA-seq data for a given organism or cell type. This workflow is centered around the data-driven computation of co-regulated gene sets using Independent Component Analysis, called iModulons, which have been shown to have broad applications.

Diagnosis and mitigation of the systemic impact of genome reduction in DGF-298.

Unlabelled: Microorganisms with simplified genomes represent interesting cell chassis for systems and synthetic biology. However, genome reduction can lead to undesired traits, such as decreased growth rate and metabolic imbalances. To investigate the impact of genome reduction on strain DGF-298, a strain in which ~ 36% of the genome has been removed, we reconstructed a strain-specific metabolic model (AC1061), investigated the regulation of gene expression using iModulon-based transcriptome analysis, and performed adaptive laboratory evolution to let the strain correct potential imbalances that arose during its simplification.

non-coding regulatory regions are highly conserved.

Microbial genome sequences are rapidly accumulating, enabling large-scale studies of sequence variation. Existing studies primarily focus on coding regions to study amino acid substitution patterns in proteins. However, non-coding regulatory regions also play a distinct role in determining physiologic responses.