Capnocytophaga canimorsus are commensal Gram-negative bacteria from dog's mouth that cause rare but dramatic septicaemia in humans. C. canimorsus have the unusual property to feed on cultured mammalian cells, including phagocytes, by harvesting the glycan moiety of cellular glycoproteins. To understand the mechanism behind this unusual property, the genome of strain Cc5 was sequenced and analysed. In addition, Cc5 bacteria were cultivated onto HEK 293 cells and the surface proteome was determined. The genome was found to encode many lipoproteins encoded within 13 polysaccharide utilization loci (PULs) typical of the Flavobacteria-Bacteroides group. PULs encode surface exposed feeding complexes resembling the archetypal starch utilization system (Sus). The products of at least nine PULs were detected among the surface proteome and eight of them represented more than half of the total peptides detected from the surface proteome. Systematic deletions of the 13 PULs revealed that half of these Sus-like complexes contributed to growth on animal cells. The complex encoded by PUL5, one of the most abundant ones, was involved in foraging glycans from glycoproteins. It was essential for growth on cells and contributed to survival in mice. It thus represents a fitness factor during infection.
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http://dx.doi.org/10.1111/j.1365-2958.2011.07750.x | DOI Listing |
Hepatology
January 2025
Genome Medical Science Project, National Center for Global Health and Medicine, Ichikawa, Japan.
Background Aims: Hepatitis B virus (HBV) leads to severe liver diseases, such as cirrhosis and hepatocellular carcinoma. Identification of host factors that regulate HBV replication can provide new therapeutic targets. The discovery of sodium taurocholate cotransporting polypeptide (NTCP) as an HBV entry receptor has enabled the establishment of hepatic cell lines for analyzing HBV infection and propagation.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Microbiology and Immunology, University of Maryland School of Medicine, 685 W. Baltimore Street, Baltimore, MD, 21201, USA.
Polymeric nanoparticles (NPs) are promising tools used for immunomodulation and drug delivery in various disease contexts. The interaction between NP surfaces and plasma-resident biomolecules results in the formation of a biomolecular corona, which varies patient-to-patient and as a function of disease state. This study investigates how the progression of acute systemic inflammatory disease influences NP corona compositions and the corresponding effects on innate immune cell interactions, phenotypes, and cytokine responses.
View Article and Find Full Text PDFJ Proteome Res
January 2025
Department of Chemistry, Indian Institute of Science Education and Research Tirupati, Tirupati 517507, India.
Identifying sex from an unknown dried blood spot (DBS), especially when the corpse remains undiscovered, often provides valuable evidence in forensic casework. While DNA-based sex determination is a reliable method in forensic settings, it requires expensive reagents and is time-consuming. To develop a rapid reagent-free blood test for sex, we employed paper spray ionization mass spectrometry (PSI-MS) to capture sex-discriminatory lipid profiles from 200 DBS samples comprising 100 males and 100 females.
View Article and Find Full Text PDFJ Proteome Res
January 2025
Advanced Research Support Center, Ehime University, Ehime 791-0295, Japan.
Precise prefractionation of proteome samples is a potent method for realizing in-depth analysis in top-down proteomics. PEPPI-MS (Passively Eluting Proteins from Polyacrylamide gels as Intact species for MS), a gel-based sample fractionation method, enables high-resolution proteome fractionation based on molecular weight by highly efficient extraction of proteins from polyacrylamide gels after SDS-PAGE separation. Thereafter it is essential to effectively remove contaminants such as CBB and SDS from the PEPPI fraction prior to mass spectrometry.
View Article and Find Full Text PDFProtein Sci
February 2025
Department of Biostatistics and Bioinformatics, Institute of Health Sciences, Acibadem University, Atasehir, Istanbul, Turkey.
Protein structure holds immense potential for pathogenicity prediction, albeit structure-based predictors are limited compared to the sequence-based counterparts due to the "structure knowledge gap" between large number of available protein sequences and relatively limited number of structures. Leveraging the highly accurate protein structures predicted by AlphaFold2 (AF2), we introduce AFFIPred, an ensemble machine learning classifier that combines sequence and AF2-based structural characteristics to predict missense variant pathogenicity. Based on the assessments on unseen datasets, AFFIPred reached a comparable level of performance with the state-of-the-art predictors such as AlphaMissense.
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