Publications by authors named "Jaillard M"

Introduction: PASS is a hospital care unit that provides access to health care for precarious persons and supports them as soon as they have obtained primary health care insurance. No details of this support had previously been described. A Hospital-to-Community protocol for referral to the public health system has been developed at the adult PASS unit of the Marseille public hospitals (AP-HM).

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Whole-genome sequencing has become an essential tool for real-time genomic surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) worldwide. The handling of raw next-generation sequencing (NGS) data is a major challenge for sequencing laboratories. We developed an easy-to-use web-based application (EPISEQ SARS-CoV-2) to analyse SARS-CoV-2 NGS data generated on common sequencing platforms using a variety of commercially available reagents.

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We have previously studied carbapenem non-susceptible (CNPA) strains from intensive care units (ICUs) in a referral hospital in Jakarta, Indonesia (Pelegrin et al., 2019). We documented that CNPA transmissions and acquisitions among patients were variable over time and that these were not significantly reduced by a set of infection control measures.

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Background: Pseudomonas aeruginosa is a ubiquitous environmental microorganism and also a common cause of infection. Its ability to survive in many different environments and persistently colonize humans is linked to its presence in biofilms formed on indwelling device surfaces. Biofilm promotes adhesion to, and survival on surfaces, protects from desiccation and the actions of antibiotics and disinfectants.

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is a cause of health care-associated infections. The epidemiological study of infection (CDI) traditionally involves PCR ribotyping. However, ribotyping will be increasingly replaced by whole genome sequencing (WGS).

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Article Synopsis
  • Recent advancements in k-mer-based approaches have effectively predicted bacterial traits from genome sequences, but these models are often hard to interpret.
  • The proposed method addresses the high correlation in k-mer data, creating clearer and more interpretable signatures for predicting antibiotic resistance in Klebsiella pneumoniae.
  • This improvement in interpretability enhances the clinical utility of these models, making them more applicable in routine diagnostics, and the method can be adapted for predicting other bacterial traits as well.
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Article Synopsis
  • DBGWAS is an advanced k-mer-based method for genome-wide association studies (GWAS) aimed specifically at bacterial genomes, which enhances the interpretability of genetic variant data linked to specific traits.
  • The method utilizes compacted De Bruijn graphs (cDBG) to organize and visualize genetic variants without needing prior genome annotations or reference genomes, making the process more efficient and accessible.
  • Validation with antibiotic resistance phenotypes demonstrated DBGWAS's ability to identify known resistance mutations and suggested potential new genetic variants associated with antibiotic resistance across different bacterial species.
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Genetic determinants of antibiotic resistance (AR) have been extensively investigated. High-throughput sequencing allows for the assessment of the relationship between genotype and phenotype. A panel of 672 Pseudomonas aeruginosa strains was analysed, including representatives of globally disseminated multidrug-resistant and extensively drug-resistant clones; genomes and multiple antibiograms were available.

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Antimicrobial susceptibility testing is key in modern clinical microbiology. With pandemic emergence of (multi-)antibiotic resistance, methods to detect and quantify resistance of clinically important bacterial species are imperative. Historically, antimicrobial susceptibility testing (AST) was mostly performed using methods relying on bacterial growth.

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Article Synopsis
  • The study focuses on improving taxonomic binning in metagenome characterization through an optimized workflow involving reads mapping and taxonomic assignment.
  • A statistical framework was developed to optimize mapper parameters and selection thresholds, which led to increased performance compared to default settings across various sequencing technologies.
  • The findings were validated using a dataset from the Human Microbiome Project, demonstrating the effectiveness of the optimized configurations.
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Background: Biological pathways are descriptive diagrams of biological processes widely used for functional analysis of differentially expressed genes or proteins. Primary data analysis, such as quality control, normalisation, and statistical analysis, is often performed in scripting languages like R, Perl, and Python. Subsequent pathway analysis is usually performed using dedicated external applications.

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Quality control (QC) is crucial for any scientific method producing data. Applying adequate QC introduces new challenges in the genomics field where large amounts of data are produced with complex technologies. For DNA microarrays, specific algorithms for QC and pre-processing including normalization have been developed by the scientific community, especially for expression chips of the Affymetrix platform.

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Human endogenous retroviruses (HERVs) are spread throughout the genome and their long terminal repeats (LTRs) constitute a wide collection of putative regulatory sequences. Phylogenetic similarities and the profusion of integration sites, two inherent characteristics of transposable elements, make it difficult to study individual locus expression in a large-scale approach, and historically apart from some placental and testis-regulated elements, it was generally accepted that HERVs are silent due to epigenetic control. Herein, we have introduced a generic method aiming to optimally characterize individual loci associated with 25-mer probes by minimizing cross-hybridization risks.

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Background: The combination of chromatin immunoprecipitation with two-channel microarray technology enables genome-wide mapping of binding sites of DNA-interacting proteins (ChIP-on-chip) or sites with methylated CpG di-nucleotides (DNA methylation microarray). These powerful tools are the gateway to understanding gene transcription regulation. Since the goals of such studies, the sample preparation procedures, the microarray content and study design are all different from transcriptomics microarrays, the data pre-processing strategies traditionally applied to transcriptomics microarrays may not be appropriate.

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Biological pathways are abstract and functional visual representations of existing biological knowledge. By mapping high-throughput data on these representations, changes and patterns in biological systems on the genetic, metabolic and protein level are instantly assessable. Many public domain repositories exist for storing biological pathways, each applying its own conventions and storage format.

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