2013
DOI: 10.1016/j.mimet.2013.08.010
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Controlled RNA contamination and degradation and its impact on qPCR gene expression in S. epidermidis biofilms

Abstract: RNA quality is of utmost importance to perform gene expression quantification by qPCR. The classical methods used to determine RNA quality are based on electrophoresis and spectrophotometer assessment, namely A(260)/A(280) and A(260)/A(230) ratios. It was previously shown that due to the complex nature of Staphylococcus epidermidis biofilms, RNA extraction procedures could impact mRNA quality and thus accurate quantification. Herein, we contaminated and degraded RNA extracted from S. epidermidis biofilms, and … Show more

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Cited by 19 publications
(13 citation statements)
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References 41 publications
(47 reference statements)
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“…Briefly, genomic DNA was degraded with one step of DNase treatment (Fermentas, Lithuania) following manufacturer’s instructions. RNA concentration, purity and integrity was determined as described before 39 . Quantitative PCR (qPCR) was performed as previously described 38 with some modifications.…”
Section: Methodsmentioning
confidence: 99%
“…Briefly, genomic DNA was degraded with one step of DNase treatment (Fermentas, Lithuania) following manufacturer’s instructions. RNA concentration, purity and integrity was determined as described before 39 . Quantitative PCR (qPCR) was performed as previously described 38 with some modifications.…”
Section: Methodsmentioning
confidence: 99%
“…One of the key aspects for transcriptomic analysis is related with the yield and quality of the mRNA transcripts, and care should be taken when working with low magnitude changes as the differences obtained may be a result of matrix contamination (Carvalhais et al, 2013). For proteomic analysis, the biofilm matrix can also be a significant barrier to effectively access the different intracellular, membrane and parietal sub-proteomes (surfaceome) ).…”
Section: Analyzing the -Omics Datamentioning
confidence: 99%
“…Poorly optimized reactions can result in artifactual Cq values and misinterpreted data that are difficult or even impossible to reproduce 2, 3 . For absolute quantification, data analysis is further complicated by the different sources of DNA from which the samples and standard curves are derived with unique backgrounds and contaminants that can variably affect the activity of Taq polymerase giving misleading results 4 . The Minimum Information for the Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines and related articles published thereafter define a rigorous methodology for designing qPCR experiments that assures publication of reproducible and high quality data 57 .…”
Section: Introductionmentioning
confidence: 99%