Bacterial DNA contamination of commercial PCR enzymes: considerations for microbiome protocols and analysis.
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB75500 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To comprehend the underlying mechanisms of NSC proliferation and differentiation, microRNA expression was investigated. Total RNA was extracted from NSCs, ESCs, and MEFs, and microRNA expression was examined using RT-PCR. This was accomplished utilizing the System Biosciences' Mouse miRNome Sanger miRVase microRNA Profiler Set.
2023-09-04 | GSE241920 | GEO
Project description:In the ongoing global fight against coronavirus disease 2019 (COVID-19), the sample preparation process for real-time reverse transcription polymerase chain reaction (rRT-PCR) faces challenges due to time-consuming steps, labor-intensive procedures, contamination risks, resource demands, and environmental implications. However, optimized strategies for sample preparation have been poorly investigated, and the combination of RNase inhibitors and Proteinase K has been rarely considered. Hence, we investigated combinations of several extraction-free protocols incorporating heat treatment, sample dilution, and Proteinase K and RNase inhibitors, and validated the effectiveness using 120 SARS-CoV-2 positive and 62 negative clinical samples. Combining sample dilution and heat treatment with Proteinase K and RNase inhibitors addition exhibited the highest sensitivity (84.26%) with a mean increase in cycle threshold (Ct) value of + 3.8. Meanwhile, combined sample dilution and heat treatment exhibited a sensitivity of 79.63%, accounting for a 38% increase compared to heat treatment alone. Our findings highlight that the incorporation of Proteinase K and RNase inhibitors with sample dilution and heat treatment contributed only marginally to the improvement without yielding statistically significant differences. Sample dilution significantly impacts SARS-CoV-2 detection, and sample conditions play a crucial role in the efficiency of extraction-free methods. Our findings may provide insights for streamlining diagnostic testing, enhancing its accessibility, cost-effectiveness, and sustainability.
| S-EPMC10663557 | biostudies-literature
Project description:Microbiome PCR primer model is a Named Entity Recognition (NER) model that identifies and annotates microbiome target gene primers in texts. This is the final model version used to annotate metagenomics publications in Europe PMC and enrich metagenomics studies in MGnify with primer metadata from literature. For more information, please refer to the following blogs: http://blog.europepmc.org/2020/11/europe-pmc-publications-metagenomics-annotations.html https://www.ebi.ac.uk/about/news/service-news/enriched-metadata-fields-mgnify-based-text-mining-associated-publications
2022-02-21 | MODEL2202170011 | BioModels
Project description:As part of the ENCODE consortium the GENCODE project is producing a reference gene set through manual and automated gene prediction. Selected transcript models are verified experimentally by RT-PCR amplification followed by sequencing. This is batch II, based on annotation from April 2009. ArrayExpress Release Date: 2010-10-28 Publication Title: GENCODE: producing a reference annotation for ENCODE Publication Author List: Harrow J, Denoeud F, Frankish A, Reymond A, Chen CK, Chrast J, Lagarde J, Gilbert JG, Storey R, Swarbreck D, Rossier C, Ucla C, Hubbard T, Antonarakis SE, Guigo R Person Roles: submitter Person Last Name: Kokocinski Person First Name: Felix Person Mid Initials: Person Email: fsk@sanger.ac.uk Person Phone: -498006 Person Address: Wellcome Trust Genome Campus, Hinxton, UK Person Affiliation: Wellcome Trust Sanger Institute Person Roles: investigator Person Last Name: Hubbard Person First Name: Tim Person Mid Initials: Person Email: th@sanger.ac.uk Person Phone: -498055 Person Address: Wellcome Trust Genome Campus, Hinxton, UK Person Affiliation: Wellcome Trust Sanger Institute For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf
2010-12-04 | GSE25711 | GEO
Project description:PurposeBacterial vaginosis (BV) is a common clinical condition characterized by odorous vaginal discharge, vaginal itching and/or burning. BV can occur when vaginal lactobacilli are depleted and replaced by diverse anaerobic bacteria. We evaluated a commercial multiplex PCR (ATRiDA) for the diagnosis of BV.MethodsCervicovaginal samples were included from women reporting urogenital symptoms and from women notified for sexually transmitted infections (STI) - who were not (necessarily) symptomatic. Clinical BV diagnoses were obtained from electronic patient files. The ATRiDA test measures the loads of Gardnerella vaginalis, Atopobium vaginae and Lactobacillus species in relation to overall bacterial load. The ATRiDA test outcome was compared to the clinical BV diagnosis and to vaginal microbiota composition, determined by 16SrRNA gene sequencing.ResultsWe included samples from 185 women reporting urogenital symptoms, of whom 81 had BV and 93 women who were notified for an STI, of whom 16 had BV. Overall, compared to the clinical BV diagnosis, the ATRiDA test demonstrated high sensitivity (96.9 %) and moderate specificity (70.2 %). The negative predictive value was high (>97.3). The positive predictive value differed by study group and was highest in women reporting urogenital symptoms (78.2 %). Sequencing showed that 54 % of women who had an ATRiDA BV-positive test outcome, but who were not clinically diagnosed with BV, had diverse anaerobic vaginal microbiota (asymptomatic vaginal dysbiosis).ConclusionThe ATRiDA test is a sensitive method for the detection of BV but, given the high occurrence of asymptomatic vaginal dysbiosis, a positive test outcome should be interpreted together with clinical symptoms.
| S-EPMC6230723 | biostudies-literature
Project description:Under anaerobic conditions, chlorate is reduced to chlorite, a cytotoxic compound that triggers oxidative stress within bacterial cultures. We previously found that BD Bacto Casamino Acids were contaminated with chlorate. In this study, we investigated whether chlorate contamination is detectable in other commercial culture media. We provide evidence that in addition to different batches of BD Bacto Casamino Acids, several commercial agar powders are contaminated with chlorate. A direct consequence of this contamination is that, during anaerobic growth, Escherichia coli cells activate the expression of msrP, a gene encoding periplasmic methionine sulfoxide reductase, which repairs oxidized protein-bound methionine. We further demonstrate that during aerobic growth, progressive oxygen depletion triggers msrP expression in a subpopulation of cells due to the presence of chlorate. Hence, we propose that chlorate contamination in commercial growth media is a source of phenotypic heterogeneity within bacterial populations. IMPORTANCE Agar is arguably the most utilized solidifying agent for microbiological media. In this study, we show that agar powders from different suppliers, as well as certain batches of BD Bacto Casamino Acids, contain significant levels of chlorate. We demonstrate that this contamination induces the expression of a methionine sulfoxide reductase, suggesting the presence of intracellular oxidative damage. Our results should alert the microbiology community to a pitfall in the cultivation of microorganisms under laboratory conditions.
| S-EPMC10100951 | biostudies-literature
Project description:PCR-Bias in multi-template PCR: validation data
| PRJEB77604 | ENA
Project description:Transcription profiling by high throughput sequencing of polyA+ RNAs from eight different human tissues (GENCODE PCR-Seq Batch X) As part of the ENCODE consortium the GENCODE project is producing a reference gene set through manual and automated gene prediction. Selected transcript models are verified experimentally by RT-PCR amplification of at least one of their unique splice junctions followed by sequencing. Batch X targets manually annotated transcripts from GENCODE v11 (released Feb 2012) with novel or putative status, non-pseudogene biotype and unique splice junctions not validated previously. ArrayExpress Release Date: 2012-10-01 Person Roles: submitter Person Last Name: Gonzalez Person First Name: Jose Person Mid Initials: M Person Email: jmg@sanger.ac.uk Person Phone: -498006 Person Address: Wellcome Trust Genome Campus, Hinxton, UK Person Affiliation: Wellcome Trust Sanger Institute Person Roles: investigator Person Last Name: Hubbard Person First Name: Tim Person Mid Initials: Person Email: th@sanger.ac.uk Person Phone: -498055 Person Address: Wellcome Trust Genome Campus, Hinxton, UK Person Affiliation: Wellcome Trust Sanger Institute Person Roles: investigator Person Last Name: Reymond Person First Name: Alexandre Person Mid Initials: Person Email: Alexandre.Reymond@unil.ch Person Phone: Person Address: Lausanne, Switzerland Person Affiliation: University of Lausanne Person Roles: investigator Person Last Name: Guigo Person First Name: Roderic Person Mid Initials: Person Email: roderic.guigo@crg.cat Person Phone: Person Address: Barcelona, Spain Person Affiliation: Centre for Genomic Regulation (CRG) For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf
2013-05-11 | GSE46638 | GEO
Project description:Bacterial microbiome associated with commercial hookah tobacco
| PRJNA641233 | ENA
Project description:As part of the ENCODE consortium the GENCODE project is producing a reference gene set through manual and automated gene prediction. Selected transcript models are verified experimentally by RT-PCR amplification followed by sequencing. This is batch V, based on annotations from Gencode 6 (November2010). ArrayExpress Release Date: 2011-08-22 Publication Title: GENCODE: producing a reference annotation for ENCODE Publication Author List: Harrow J, Denoeud F, Frankish A, Reymond A, Chen CK, Chrast J, Lagarde J, Gilbert JG, Storey R, Swarbreck D, Rossier C, Ucla C, Hubbard T, Antonarakis SE, Guigo R Person Roles: submitter Person Last Name: Gonzalez Person First Name: Jose Person Mid Initials: M Person Email: jmg@sanger.ac.uk Person Phone: -498006 Person Address: Wellcome Trust Genome Campus, Hinxton, UK Person Affiliation: Wellcome Trust Sanger Institute Person Roles: investigator Person Last Name: Hubbard Person First Name: Tim Person Mid Initials: Person Email: th@sanger.ac.uk Person Phone: -498055 Person Address: Wellcome Trust Genome Campus, Hinxton, UK Person Affiliation: Wellcome Trust Sanger Institute Person Roles: investigator Person Last Name: Reymond Person First Name: Alexandre Person Mid Initials: Person Email: Alexandre.Reymond@unil.ch Person Phone: Person Address: Lausanne, Switzerland Person Affiliation: University of Lausanne For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf
2012-01-04 | GSE34820 | GEO