| dc.contributor.author | Palomino-Kobayashi, L.A. | |
| dc.contributor.author | Pons, M.J. | |
| dc.contributor.author | Ruiz, J. | |
| dc.date.accessioned | 2025-10-31T18:43:04Z | |
| dc.date.available | 2025-10-31T18:43:04Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12805/6018 | |
| dc.description.abstract | BACKGROUND: The present study estimated the total inherent DNA contamination of a commercially available qPCR (quantitative Real-Time polymerase chain reaction) master mix. A previous step of DNase treatment with both DNase I and a double strand specific DNase failed to remove the background contamination, even with varying enzymatic concentrations and incubation times. METHODS: Absolute quantification by qPCR was done with a 16S rRNA gene standard qPCR curve from genomic DNA of Escherichia coli, using a previously unopened vial of a commercial SYBR green master mix to estimate the total inherent bacterial contamination of the mix. Additionally, qPCR with primers specific for the rpoB gene of Enterobacterales was performed with a clinical serum sample with unknown bacterial load. RESULTS: The estimated mean (standard deviation) of bacterial DNA of the master mix was 171.211 (21.140) E. coli equivalent genomes per µL of master mix. The clinical sample had a higher C<inf>T</inf> value compared with the non-template control. This could be attributable to an inhibitory effect of human DNA in the serum with an expected low quantity of bacterial DNA. CONCLUSIONS: Estimation of the background bacterial DNA of molecular grade reagents is strongly suggested as a validation measure before sample analysis for bacterial quantification studies by qPCR, in particular when the expected bacterial DNA load is low. | en_US |
| dc.description.sponsorship | The present study was funded by “Beca Cabieses - Fondo Semilla para Docentes”, as part of the research project “Determinación de la trans-locación bacteriana en cohorte de pacientes COVID-19 (moderado y severo) mediante cuantificación del gen 16S rRNA bacteriano en suero. Relación con respuesta de citoquinas y parámetros clínicos” from Universidad Científica del Sur – Peru. We express our sincere gratitude to Salyoc Tapia Rojas and Ana Mayanga Herrera for their suggestions on improving the experiments reported herein. | |
| dc.format | application/pdf | |
| dc.language.iso | eng | |
| dc.publisher | Edizioni Minerva Medica | |
| dc.relation.ispartof | urn:issn:2724-5934 | |
| dc.rights | https://purl.org/coar/access_right/c_abf2 | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.subject | Sepsis Management and Biomarkers in Critical Care | en_US |
| dc.subject | PCR Techniques for Rapid Sepsis Detection | en_US |
| dc.title | Estimation of inherent bacterial DNA contamination in a qPCR master mix: concerns about background DNA of reagents | en_US |
| dc.type | https://purl.org/coar/resource_type/c_2df8fbb1 | |
| dc.identifier.doi | https://doi.org/10.23736/S2724-542X.22.02925-X | |
| dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#1.06.01 | |
| dc.type.other | Research article | |
| dc.identifier.journal | Minerva Biotechnology and Biomolecular Research | |
| dc.type.version | https://purl.org/coar/version/c_970fb48d4fbd8a85 | |