Literature DB >> 25495729

Assessing and reducing sources of gene expression variability in Staphylococcus epidermidis biofilms.

Cármen Sousa1, Angela França1, Nuno Cerca1.   

Abstract

Gene expression quantification can be a useful tool in studying the properties of bacterial biofilms. Unfortunately, techniques such as RNA extraction, cDNA synthesis, and quantitative PCR (qPCR) can introduce variability into mRNA transcript measurements, obscuring biologically relevant results. Here we sought to identify the steps that impair accurate gene expression quantification from Staphylococcus epidermidis biofilm samples. We devised an experimental setup that could be used to determine the contribution of each experimental step to the variability of mRNA transcript measurement. Among factors tested, biofilm growth contributed the most bias to gene expression quantification. Additional experiments demonstrated that pooling biofilms together reduced this variability, resulting in more accurate gene expression analysis results. We therefore recommend pooling in order to reduce the variability associated with gene expression quantification from biofilm samples.

Entities:  

Keywords:  RNA extraction; biofilm pool; biofilms; gene expression variability; qPCR; reverse transcriptase

Mesh:

Substances:

Year:  2014        PMID: 25495729     DOI: 10.2144/000114238

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  8 in total

1.  Biofilm released cells can easily be obtained in a fed-batch system using ica+ but not with ica- isolates.

Authors:  Vânia Gaio; Nuno Cerca
Journal:  PeerJ       Date:  2020-07-15       Impact factor: 2.984

2.  Staphylococcus epidermidis Biofilm-Released Cells Induce a Prompt and More Marked In vivo Inflammatory-Type Response than Planktonic or Biofilm Cells.

Authors:  Angela França; Begoña Pérez-Cabezas; Alexandra Correia; Gerald B Pier; Nuno Cerca; Manuel Vilanova
Journal:  Front Microbiol       Date:  2016-09-27       Impact factor: 5.640

3.  Cells released from S. epidermidis biofilms present increased antibiotic tolerance to multiple antibiotics.

Authors:  Vânia Gaio; Nuno Cerca
Journal:  PeerJ       Date:  2019-05-15       Impact factor: 2.984

4.  mazEF Homologue Has a Minor Role in Staphylococcus epidermidis 1457 Virulence Potential.

Authors:  Vânia Gaio; Tânia Lima; Manuel Vilanova; Nuno Cerca; Angela França
Journal:  Front Cell Infect Microbiol       Date:  2022-01-13       Impact factor: 5.293

5.  codY and pdhA Expression Is Induced in Staphylococcus epidermidis Biofilm and Planktonic Populations With Higher Proportions of Viable but Non-Culturable Cells.

Authors:  Vânia Gaio; Nathalie Lopes; Nuno Cerca; Angela França
Journal:  Front Cell Infect Microbiol       Date:  2021-11-15       Impact factor: 5.293

6.  Characterization of an in vitro fed-batch model to obtain cells released from S. epidermidis biofilms.

Authors:  Angela França; Virgínia Carvalhais; Manuel Vilanova; Gerald B Pier; Nuno Cerca
Journal:  AMB Express       Date:  2016-03-22       Impact factor: 3.298

7.  Transcriptomic Analysis of Staphylococcus epidermidis Biofilm-Released Cells upon Interaction with Human Blood Circulating Immune Cells and Soluble Factors.

Authors:  Angela França; Gerald B Pier; Manuel Vilanova; Nuno Cerca
Journal:  Front Microbiol       Date:  2016-07-21       Impact factor: 5.640

8.  RNA-based qPCR as a tool to quantify and to characterize dual-species biofilms.

Authors:  Andreia Patrícia Magalhães; Ângela França; Maria Olívia Pereira; Nuno Cerca
Journal:  Sci Rep       Date:  2019-09-20       Impact factor: 4.379

  8 in total

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