Comparison of next-generation technologies and bioinformatic pipelines for capsular typing of Streptococcus pneumoniae
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB57405 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Benchmarking of metagenomics pipelines
| PRJEB39393 | ENA
Project description:Diagnostic primer extension assay to serotype Streptococcus pneumoniae. Assay validation. Background: Monitoring of Streptococcus pneumoniae serotype epidemiology is essential since serotype replacement is a concern when introducing new polysaccharide-conjugate vaccines. To simplify S. pneumoniae serotyping, a novel PCR-based automated microarray assay was developed to assist in the tracking of the serotypes. Results: Autolysin (lytA), pneumolysin (ply) and eight genes located in the capsular operon (cps) were amplified using multiplex PCR. This step was followed by a tagged fluorescent primer extension step targeting serotype-specific polymorphisms. The tagged primers were then hybridized to a microarray. Results were exported to an expert system that transforms genetic typing data into capsular serotype identification. The assay was validated on 166 cultured S. pneumoniae samples from 63 different serotypes as determined by the Quellung method. In addition, the assay was tested on clinical specimens including 43 cerebrospinal fluid samples from patients with meningitidis and 59 nasopharyngeal aspirates from bacterial pneumonia patients. The assay presented with no cross-reactivity for 24 relevant bacterial species found in these types of samples. The limit of detection for serotyping and S. pneumoniae detection was 100 genome equivalent per reaction. Conclusion: This automated assay is amenable to clinical testing and does not require any culturing of the samples. The assay will be useful for the evaluation of serotype prevalence changes after new conjugate vaccines introduction.
2013-12-31 | GSE45865 | GEO
Project description:Diagnostic primer extension assay to serotype Streptococcus pneumoniae. Assay validation. Background: Monitoring of Streptococcus pneumoniae serotype epidemiology is essential since serotype replacement is a concern when introducing new polysaccharide-conjugate vaccines. To simplify S. pneumoniae serotyping, a novel PCR-based automated microarray assay was developed to assist in the tracking of the serotypes. Results: Autolysin (lytA), pneumolysin (ply) and eight genes located in the capsular operon (cps) were amplified using multiplex PCR. This step was followed by a tagged fluorescent primer extension step targeting serotype-specific polymorphisms. The tagged primers were then hybridized to a microarray. Results were exported to an expert system that transforms genetic typing data into capsular serotype identification. The assay was validated on 166 cultured S. pneumoniae samples from 63 different serotypes as determined by the Quellung method. In addition, the assay was tested on clinical specimens including 43 cerebrospinal fluid samples from patients with meningitidis and 59 nasopharyngeal aspirates from bacterial pneumonia patients. The assay presented with no cross-reactivity for 24 relevant bacterial species found in these types of samples. The limit of detection for serotyping and S. pneumoniae detection was 100 genome equivalent per reaction. Conclusion: This automated assay is amenable to clinical testing and does not require any culturing of the samples. The assay will be useful for the evaluation of serotype prevalence changes after new conjugate vaccines introduction. 166 quellung serotyped strains and two negative controls
2013-12-31 | E-GEOD-45865 | biostudies-arrayexpress
Project description:Typing of Listeria monocytogenes.
| PRJEB5481 | ENA
Project description:soils surrounded buried oil pipelines Raw sequence reads
| PRJNA414370 | ENA
Project description:At present, it is admitted that RNA-seq is a more powerful and adaptable technique than hybridization arrays. Nevertheless, as RNA-seq needs a more complex data analysis, it has generated a lot of research on algorithms and workflows. This has resulted in an exponential increase of the options at each step of the analysis. Consequently, there is no clear consensus on the appropriate algorithms and pipelines that should be used to analyse RNA-seq data. In the present study, 192 pipelines on 18 samples from 2 human cell lines were evaluated. Absolute gene expression quantification was assessed by non-parametric statistics to measure precision and accuracy. Relative gene expression performance was estimated testing 19 differential expression methods. These results were contrasted in parallel with the microarray HTA 2.0 data from Affymetrix using the same set of samples. All procedures were validated by qRT-PCR on 32 genes in all samples. In addition, this study proposes a new statistical approach for precision and accuracy evaluation on real RNA-seq data. It also weights up the advantages and disadvantages of the algorithms and pipelines tested and gives a guide to select the appropriate pipeline to analyse RNA-seq and microarray data.
2021-02-28 | GSE116291 | GEO
Project description:Vaccines to prevent capsular group B meningococcal disease have been based on proteins, as the polysaccharide capsule was deemed unsuitable due to its similarity to human tissues. Outer membrane vesicle (OMV) vaccines have been targeted at specific capsular group B epidemics in Cuba, Norway, and New Zealand, with the major immunogen determined as porin A (PorA). Subcapsular protein vaccines aim to increase breadth of coverage of meningococcal strains, by the inclusion of protein variants from many different clonal complexes (ccs). Using scalable and portable genomic techniques, it is possible to study the diversity of OMV and subcapsular proteins in relevant meningococcal populations. Shotgun proteomics identified 461 proteins in the OMVs derived from NZ98/254, a component of the Bexsero® vaccine, with a complex proteome comprised of outer membrane proteins and proteins from other cellular compartments. Amino acid sequences for 24 selected proteins were catalogued within the PubMLST Neisseria database as part of the OMV peptide Typing (OMVT) scheme. Of the 24 proteins included, there was variation in the extent of diversity and association with ccs from the most conserved peptides FbpA (NEISp0578) and putative periplasmic proteins (NEISp1063) to the most diverse TbpA (NEISp1690). There were 1752 OMVTs identified amongst 2492/3506 isolates. OMVTs were further grouped into clusters (identical at ≥18 peptide sequences), 45.3% of isolates were assigned to one of 27 OMVT clusters. Both OMVTs and clusters were strongly associated with cc, genogroup and recombinant Bexsero® antigens. The OMVT scheme represents an open-access, web-based tool for the systematic analysis of the multiple components of OMV vaccines, demonstrating that combinations of OMV proteins exist in discrete, non-overlapping combinations associated with both genogroup and Bexsero® Antigen Sequence type (BAST). This highly structured population of disease-causing meningococci is consistent with proposed effects of host immune selection and competition between allelic variants on meningococcal population structure. This has implications for future vaccine assessment, and development, especially the choice of antigen combinations. The methodology is portable and will facilitate region-specific WGS interrogation, allowing informed choices about vaccine development or implementation.
2018-11-14 | PXD011622 | Pride