by Keyword: Mutational analysis
Prieto, A, Miró, L, Margolles, Y, Bernabeu, M, Salguero, D, Merino, S, Tomas, J, Corbera, JA, Perez-Bosque, A, Huttener, M, Fernández, LA, Juarez, A, Zambrano, MM, (2024). Targeting plasmid-encoded proteins that contain immunoglobulin-like domains to combat antimicrobial resistance Elife 13, RP95328
Antimicrobial resistance (AMR) poses a significant threat to human health. Although vaccines have been developed to combat AMR, it has proven challenging to associate specific vaccine antigens with AMR. Bacterial plasmids play a crucial role in the transmission of AMR. Our recent research has identified a group of bacterial plasmids (specifically, IncHI plasmids) that encode large molecular mass proteins containing bacterial immunoglobulin-like domains. These proteins are found on the external surface of the bacterial cells, such as in the flagella or conjugative pili. In this study, we show that these proteins are antigenic and can protect mice from infection caused by an AMR Salmonella strain harboring one of these plasmids. Furthermore, we successfully generated nanobodies targeting these proteins, that were shown to interfere with the conjugative transfer of IncHI plasmids. Considering that these proteins are also encoded in other groups of plasmids, such as IncA/C and IncP2, targeting them could be a valuable strategy in combating AMR infections caused by bacteria harboring different groups of AMR plasmids. Since the selected antigens are directly linked to AMR itself, the protective effect extends beyond specific microorganisms to include all those carrying the corresponding resistance plasmids.
JTD Keywords: Antibodies, Beta-lactamase, Cell, Enterica, Escherichia-coli, Expression, Genes, Infection, Intimin, Mous, Mutational analysis, Pcr, Salmonella, Var typhimurium
Hüttener, M, Hergueta, J, Bernabeu, M, Prieto, A, Aznar, S, Merino, S, Tomás, J, Juárez, A, (2022). Roles of Proteins Containing Immunoglobulin-Like Domains in the Conjugation of Bacterial Plasmids Msphere 7, e00978-21
Transmission of a plasmid from one bacterial cell to another, in several instances, underlies the dissemination of antimicrobial resistance (AMR) genes. The process requires well-characterized enzymatic machinery that facilitates cell-to-cell contact and the transfer of the plasmid.
JTD Keywords: antimicrobial resistance, bacterial ig-like proteins, bacterial lg-like proteins, chromosomal genes, identification, inca/c, mutational analysis, plasmid conjugation, products, r-factors, resistance plasmids, salmonella-enterica, sequence, Antimicrobial resistance, Bacterial ig-like proteins, Escherichia-coli, Plasmid conjugation
Seuma, M, Faure, AJ, Badia, M, Lehner, B, Bolognesi, B, (2021). The genetic landscape for amyloid beta fibril nucleation accurately discriminates familial Alzheimer's disease mutations Elife 10, e63364
Plaques of the amyloid beta (A beta) peptide are a pathological hallmark of Alzheimer's disease (AD), the most common form of dementia. Mutations in A beta also cause familial forms of AD (fAD). Here, we use deep mutational scanning to quantify the effects of >14,000 mutations on the aggregation of A beta. The resulting genetic landscape reveals mechanistic insights into fibril nucleation, including the importance of charge and gatekeeper residues in the disordered region outside of the amyloid core in preventing nucleation. Strikingly, unlike computational predictors and previous measurements, the empirical nucleation scores accurately identify all known dominant fAD mutations in A beta, genetically validating that the mechanism of nucleation in a cell-based assay is likely to be very similar to the mechanism that causes the human disease. These results provide the first comprehensive atlas of how mutations alter the formation of any amyloid fibril and a resource for the interpretation of genetic variation in A beta.
JTD Keywords: aggregation, kinetics, oligomers, onset, rates, state, Aggregation, Alzheimer disease, Alzheimer's, Amyloid, Amyloid beta-peptides, Computational biology, Deep mutagenesis, Dna mutational analysis, Genetics, Genomics, High-throughput nucleotide sequencing, Kinetics, Mutation, Nucleation, Oligomers, Onset, Plasmids, Precursor protein, Rates, S. cerevisiae, Saccharomyces cerevisiae, State, Systems biology