Biomedical subjects

Irena Kukavica-Ibrulj

Publications and source records attributed to Irena Kukavica-Ibrulj.

4 recordsLinked to original sources

PubMed2025

PDP-Miner: an AI/ML tool to detect prophage tail proteins with depolymerase domains across thousands of bacterial genomes.

MOTIVATION: Antibiotic resistance is predicted to become the leading cause of human mortality by 2050. Despite this, no other major antibiotic class has been approved for medical use since 1987. Nevertheless, phage tail proteins offer a promising alternative, given their depolymerase activity toward outer membrane polysaccharides. Several pathogenic bacteria harbor prophages, thus making these prophages' molecular target already known. RESULTS: We therefore developed a wrapper for an existing machine learning-based phage depolymerase prediction tool (Depolymerase-Predictor), called PDP-Miner, which annotates phage tail proteins ab initio, detects depolymerase activity within this candidate protein subset, and then performs post-hoc validation by annotating protein domains thereby allowing the user to investigate for protein domains indicative of depolymerase activity. This tool allowed identification of 10 high confidence phage depolymerase gene candidates across all 1294 Pseudomonas genomes available on the International Pseudomonas Consortium Database while also accurately reporting depolymerases in known phage genomes, similarly to other software like PhageDPO or DepoScope. AVAILABILITY AND IMPLEMENTATION: Source code, test datasets and documentation are freely available for download at http:///www.github.com/jeffgauthier/pdpminer. This software is free and open source under the GNU General Public License v3.0.

Prophages↗

PubMed2004

Identification of novel pathogenicity genes by PCR signature-tagged mutagenesis and related technologies.

Microbial pathogens possess a repertoire of virulence determinants that make unique contributions to bacterial fitness during infection. In this chapter, we focus on the recent progress and adaptations of signature-tagged mutagenesis (STM) by PCR instead of hybridization. This is a PCR-based STM mutation-based screening method using a population of bacterial mutants for the simultaneous identification of multiple virulence genes in microbial pathogens by negative selection. Modifications of STM developed in our laboratory have been applied to Pseudomonas aeruginosa PAO1. Screening of a collection of 6912 STM mutants in the rat chronic lung model of infection identified 214 P. aeruginosa STM mutants defective in virulence. For further studies, and to illustrate better the strategies that need to be utilized, we present detailed analysis of nine selected STM mutants. The data obtained indicate that in vivo, defects in virulence give a wide variety of phenotypes: defects in known virulence factors have been found, thereby validating the method; defects have also been found in orthologs with predicted functions, and in some genes whose functions cannot be predicted from databases. A general strategy and a simple scenario is discussed using the nine STM mutants selected for further characterization. PCR-based STM represent a genomics-based method for in vivo high-throughput screening of new virulence factors.

Bacteria↗

PubMed2003

Immunofluorescent detection and quantitation of hepatitis A virus in sewage treatment effluent and on agri-food surfaces using scanning confocal microscopy.

An immunofluorescent (IF) assay was developed for specific detection and quantitation of hepatitis A virus (HAV) in sewage treatment effluent or attached to stainless steel, copper, high density polyethylene and polyvinyl chloride surfaces. Polyclonal antibodies were produced in rabbits and characterized for specificity to HAV. Purified anti-HAV antibodies were used in combination with ALEXA-anti-rabbit conjugate and confocal microscopy for detection and quantitation of HAV in effluent samples. Using this immunological approach, as little as 2 x 10(5) PFU/ml were detected and the signal generated was proportional to the concentration of HAV up to 2 x 10(8) PFU/ml. Counts obtained by IF assay were highly correlated with those of the SYBR Green II nucleic acid labelling method (r(2)=0.995) and conventional plaque assay (r(2)=0.988). The IF assay described is rapid (3 h), sensitive, specific to HAV and suitable for qualitative as well as quantitative studies.

Animals↗

PubMed2003

In vivo functional genomics of Pseudomonas aeruginosa for high-throughput screening of new virulence factors and antibacterial targets.

Pseudomonas aeruginosa is a model for studying opportunistic pathogens that are highly resistant to most classes of antibiotics and cause chronic pulmonary infections. We have developed and adapted a multiplex polymerase chain reaction-based signature-tagged mutagenesis (STM) for high-throughput screening of a collection of 7968 P. aeruginosa mutants in a rat model of chronic respiratory infection. After three rounds of screening, a total of 214 mutants, representing transposition events into 148 open reading frames, were shown to be attenuated in lung infection and were retained for further analysis. As proof of concept supporting this technology, we identified 11 insertions in typical virulence genes such as those coding for pili implicated in motility, attachment and swarming, alginate synthesis and its expression, a mucus transcription regulator, extracellular enzymes such as alkaline protease, esterase and amino peptidase, a rhamnosyl surfactant transferase and a lipopolysaccharide glycosyl transferase. Detailed analysis of the 148 STM mutants, including seven auxotrophs, revealed insertions in 21 of the 26 known gene classes used to characterize sequenced bacterial genomes. We noted that at least 46% of STM mutants identified had insertions in hypothetical proteins or proteins of unknown function and that approximately 40% of all STM mutants had insertions in surface proteins including the outer membrane, the periplasm and the inner membrane. Interestingly, 11 STM mutants attenuated for lung infection were also identified in microarray and transcriptome for quorum sensing and mucoidy production. The remaining 130 mutants were systematically analysed for their capability to express fully known virulence factors. In addition, testing the ability of these mutants to infect alternative model host Drosophila melanogaster revealed 36 STM mutants defective in protease, twitching motility, swimming and swarming. Finally, we identified many genes, the activity of which in respiratory infection was not fully appreciated.

Alkaline Phosphatase↗