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Huysmans, G. H. M.

Publications and source records attributed to Huysmans, G. H. M..

2 recordsLinked to original sources

Extracellular loops of the β-barrel domain catalyze rapid folding for function of self-associating autotransporters

Bacterial aggregation is a phenotype associated with disease pathogenesis. Aggregate formation enhances biofilm development, host colonization, and resistance to antibiotics and host defenses. Antigen 43 (Ag43) is a surface-located autotransporter produced by pathogenic Escherichia coli that mediates cell aggregation in biofilms. Two Ag43 molecules, each from neighboring bacterial cells, fold into elongated {beta}-helical passenger domains that associate in a head-to-tail manner while being anchored to the cell surface by their outer membrane-embedded {beta}-barrels. In this study, we conduct mutational analyses on Ag43 to show that the {beta}-hairpin structure of the fourth and fifth extracellular loops of the {beta}-barrel domain have a crucial role for passenger domain folding and subsequent formation of bacterial aggregates. This work provides mechanistic insight into the role of the autotransporter {beta}-barrel domain to nucleate the rapid folding of the passenger domain into the {beta}-helix that enables bacterial interactions during infection.

biochemistry↗

The high-energy transition state of a membrane transporter

Membrane transporters mediate cellular uptake of nutrients, signaling molecules and drugs. Their overall mechanisms are often well understood, but the structural features setting their rates are mostly unknown. Earlier single-molecule fluorescence imaging of a model glutamate transporter homologue suggested that the slow conformational transition from the outward- to the inward-facing state, when the bound substrate is translocated from the extracellular to the cytoplasmic side of the membrane, is rate-limiting to transport. Here, we aim to gain insight into the structure of the high-energy transition state that limits the rate of this critical isomerization reaction. Using bioinformatics, we identify gain-of-function mutants of the transporter and apply linear free energy relationship analysis to infer that the transition state structurally resembles the inward-facing conformation. Based on these analyses, we propose an approach for allosteric modulation of these transporters.

biophysics↗