Genomically recoded organisms hold promise for many biotechnological applications, but they may exhibit substantial fitness defects relative to their non-recoded counterparts. We used targeted metabolic screens, genetic analysis, and proteomics to identify the origins of fitness impairment in a model recoded organism, C321.∆A.
View Article and Find Full Text PDFIntroduction: Simulation-based learning (SBL) is widely used in healthcare education to provide a safe environment for students to practice clinical scenarios without causing patient harm. While established in developed countries, SBL's implementation is new in South Africa; there is a lack of research addressing sonography students' experiences. This study aimed to explore and describe the experiences of Bachelor of Science (BSc) second-year sonography students using SBL for clinical training at a local University of Technology (UoT).
View Article and Find Full Text PDFOver the past 15 years, hundreds of previously undiscovered bacterial small open reading frame (sORF)-encoded polypeptides (SEPs) of fewer than fifty amino acids have been identified, and biological functions have been ascribed to an increasing number of SEPs from intergenic regions and small RNAs. However, despite numbering in the dozens in , and hundreds to thousands in humans, same-strand nested sORFs that overlap protein coding genes in alternative reading frames remain understudied. In order to provide insight into this enigmatic class of unannotated genes, we characterized GndA, a 36-amino acid, heat shock-regulated SEP encoded within the +2 reading frame of the gene in K-12 MG1655.
View Article and Find Full Text PDFTechnologies that generate precise combinatorial genome modifications are well suited to dissect the polygenic basis of complex phenotypes and engineer synthetic genomes. Genome modifications with engineered nucleases can lead to undesirable repair outcomes through imprecise homology-directed repair, requiring non-cleavable gene editing strategies. Eukaryotic multiplex genome engineering (eMAGE) generates precise combinatorial genome modifications in Saccharomyces cerevisiae without generating DNA breaks or using engineered nucleases.
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