Laboratory protocol for the digital multiplexed gene expression analysis of nasopharyngeal swab samples using the NanoString nCounter system.
Marilina García-ArandaInmaculada López-RodríguezSusana García-GutiérrezMaria Padilla-RuizVanessa de LuqueMaria Luisa HortasTatiana DiazMartina ÁlvarezIsabel Barragan-MallofretMaximino Redondonull nullPublished in: F1000Research (2022)
This paper describes a laboratory protocol to perform the NanoString nCounter Gene Expression Assay from nasopharyngeal swab samples. It is urgently necessary to identify factors related to severe symptoms of respiratory infectious diseases, such as COVID-19, in order to assess the possibility of establishing preventive or preliminary therapeutic measures and to plan the services to be provided on hospital admission. At present, the samples recommended for microbiological diagnosis are those taken from the upper and/or the lower respiratory tract. The NanoString nCounter Gene Expression Assay is a method based on the direct digital detection of mRNA molecules by means of target-specific, colour-coded probe pairs, without the need for mRNA conversion to cDNA by reverse transcription or the amplification of the resulting cDNA by PCR. This platform includes advanced analysis tools that reduce the need for bioinformatics support and also offers reliable sensitivity, reproducibility, technical robustness and utility for clinical application, even in RNA samples of low RNA quality or concentration, such as paraffin-embedded samples. Although the protocols for the analysis of blood or formalin-fixed paraffin-embedded samples are provided by the manufacturer, no corresponding protocol for the analysis of nasopharyngeal swab samples has yet been established. Therefore, the approach we describe could be adopted to determine the expression of target genes in samples obtained from nasopharyngeal swabs using the nCOUNTER technology.
Keyphrases
- gene expression
- randomized controlled trial
- dna methylation
- healthcare
- respiratory tract
- emergency department
- high throughput
- coronavirus disease
- transcription factor
- early onset
- physical activity
- single cell
- electronic health record
- sleep quality
- genome wide analysis
- fluorescent probe
- loop mediated isothermal amplification