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Transcriptomic profiles of Pseudomonas aeruginosa PA14 grown in the presence or absence of mucins or mucin-glycans

ABSTRACT: Transcriptomic profiles of Pseudomonas aeruginosa PA14 grown in the presence or absence of mucins or mucin-glycans

PROVIDER: PRJNA659742 | ENA |

REPOSITORIES: ENA

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Transcriptomic profiles of Pseudomonas aeruginosa PA14 grown in the presence or absence of mucins or mucin-glycans

Project description:We use high-throughput sequencing to profile the response of the opportunistic mucosal pathogen Pseudomonas aeruginosa to mucins and mucin-glycans from the mucosal niche. We find that P. aeruginosa undergoes a genome-wide phenotypic shift in response to mucins and their attached glycans. Specifically, nearly all virulence pathways are downregulated in response to these host-produced factors. This study provides a framework for understanding how the host environment regulates bacterial function.

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Transcriptomic profiles of Streptococcus mutans UA159 grown in the presence or absence of mucins or mucin glycans

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Project description:We use high-throughput sequencing to profile the response of the opportunistic fungal pathogen Candida albicans to mucins and mucin-glycans from the mucosal niche. We find that C. albicans undergoes a genome-wide phenotypic shift in response to mucins and their attached glycans suppressing virulence-associated pathways.

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Transcriptomic profiles of Pseudomonas aeruginosa PAO1 grown in the presence or absence of mucins or mucin-glycans

Project description:Transcriptomic profiles of Pseudomonas aeruginosa PAO1 grown in the presence or absence of mucins or mucin-glycans

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Project description:Transcriptomic profiles of Streptococcus mutans UA159 grown in the presence or absence of mucins or mucin glycans

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Transcriptional profiling of C. albicans in the presence of mucin versus absence of mucin

Project description:Candida albicans is the most prevalent fungal pathogen of humans, causing a variety of diseases ranging from superficial mucosal infections to deep-seated systemic infections. Mucus, the gel that coats all wet epithelial surfaces, accommodates Candida albicans as part of the regular microbiome where C. albicans resides asymptomatically in healthy humans. Through a series of in vitro experiments combined with genome-wide transcriptional profiling, we show that mucin biopolymers, the main gel-forming constituents of mucus, induce a new oval-shaped morphology in C. albicans in which a range of genes related to adhesion, filamentation, and biofilm formation are down-regulated. We also show that corresponding phenotypes are suppressed, rendering Candida incapable of forming biofilms on a range of different synthetic surfaces and human epithelial cells. Our data suggests that mucins can manipulate Candida physiology and we hypothesize that they are key regulators for retaining Candida in the host-compatible, commensal state. 3 biological replicates grown in log phase in the presence and absence of mucin for 8 hours. Experiments were performed using RPMI 1640 (Gibco 31800-089) buffered with 165mM MOPS and supplemented with 0.2% NaHCO3 and 2% glucose with and without 0.5% mucin.

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Ion Mobility-Tandem Mass Spectrometry of Mucin-type O-Glycans

Project description:The dense O-glycosylation of mucins plays an important role in the defensive properties of the mucus hydrogel. Aberrant glycosylation is often correlated with inflammation and pathology such as COPD, cancer, and Crohn’s disease. The inherent complexity of glycans and the diversity in the O-core structure constitute fundamental challenges for the analysis of mucin-type O-glycans. Due to coexistence of multiple isomers, multidimensional workflows such as LC-MS are required. To separate the highly polar carbohydrates, porous graphitized carbon is often used as a stationary phase. However, LC-MS workflows are time-consuming and lack reproducibility. Here we present a rapid alternative for separating and identifying O-glycans released from mucins based on trapped ion mobility mass spectrometry. Compared to established LC-MS, the acquisition time is reduced from an hour to two minutes. To test the validity, the developed workflow was applied to sputum samples from cystic fibrosis patients to map O-glycosylation features associated with disease.

2024-03-19 | PXD050530 | Pride

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