Autotransporters represent a large superfamily of known and putative virulence factors produced by Gram-negative bacteria. They consist of an N-terminal "passenger domain" responsible for the specific effector functions of the molecule and a C-terminal "β-domain" responsible for translocation of the passenger across the bacterial outer membrane. Here, we present the 2.5-Å crystal structure of the passenger domain of the extracellular serine protease EspP, produced by the pathogen Escherichia coli O157:H7 and a member of the serine protease autotransporters of Enterobacteriaceae (SPATEs). Like the previously structurally characterized SPATE passenger domains, the EspP passenger domain contains an extended right-handed parallel β-helix preceded by an N-terminal globular domain housing the catalytic function of the protease. Of note, however, is the absence of a second globular domain protruding from this β-helix. We describe the structure of the EspP passenger domain in the context of previous results and provide an alternative hypothesis for the function of the β-helix within SPATEs.
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http://dx.doi.org/10.1016/j.jmb.2011.09.028 | DOI Listing |
NPJ Vaccines
January 2025
Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Dysentery caused by Shigella species remains a major health threat to children in low- and middle-income countries. There is no vaccine available. The most advanced candidates, i.
View Article and Find Full Text PDFBioorg Chem
January 2025
Department of Chemistry, Binghamton University, The State University of New York, 4400 Vestal Parkway East Binghamton, New York 13902, USA. Electronic address:
A modified enzyme fragment complementation assay has been designed and validated as a turn-on biosensor for nucleic acid detection in dilute aqueous solution. The assay is target sequence-agonistic and uses fragments of NanoBiT, the split luciferase reporter enzyme, that are esterified enzymatically at their C-termini to steramers, sterol-linked oligonucleotides. The Drosophila hedgehog autoprocessing domain, DHhC, serves as the self-cleaving enzyme for the NanoBiT-steramer bioconjugations.
View Article and Find Full Text PDFJ Biotechnol
February 2025
State Key Laboratory of Marine Food Processing and Safety Control, College of Food Science and Engineering, Ocean University of China, Qingdao 266404, PR China; Qingdao Key Laboratory of Food Biotechnology, Qingdao 266404, PR China; Key Laboratory of Biological Processing of Aquatic Products, China National Light Industry, Qingdao 266404, PR China. Electronic address:
Surface display technology has garnered significant attention for preparing efficient whole cell catalysts, while reported carrier proteins still cannot meet the demand to display various passenger domains, especially for those with high molecular weight. This study demonstrates that the autotransporter of esterase Est7 (E7AT) from Stenotrophomonas maltophilia played a decisive role in its efficient surface display. Guided by the original signal peptide, the surface display ratio of Est7 was determined as 89.
View Article and Find Full Text PDFFront Immunol
December 2024
Department of Blood Transfusion, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
The spread of multidrug-resistant strains of poses a great challenge in gonorrhea treatment. At present, vaccination is the best strategy for gonorrhea control. However, given the extensive antigenic variability of , the effectiveness of monovalent vaccines is limited.
View Article and Find Full Text PDFSci Data
December 2024
Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, 11543, Saudi Arabia.
Safety is crucial in the railway industry because railways transport millions of passengers and employees daily, making it paramount to prevent injuries and fatalities. In order to guarantee passenger safety, computer vision, unmanned aerial vehicles (UAV), and artificial intelligence will be essential tools in the near future for routinely evaluating the railway environment. An unmanned aerial vehicle captured dataset for railroad segmentation and obstacle detection (UAV-RSOD) comprises high-resolution images captured by UAVs over various obstacles within railroad scenes, enabling automatic railroad extraction and obstacle detection.
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