Laboratory protocol for the digital multiplexed gene expression analysis of nasopharyngeal swab samples using the NanoString nCounter system.

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.

Long non-coding RNA p10247, high expressed in breast cancer (lncRNA-BCHE), is correlated with metastasis.

Recent studies have shown that long non-coding RNAs (lncRNAs) have key functions during breast cancer development. Considering the complexity of IncRNAs regulatory network, the identification of novel and functional lncRNAs associated with breast cancer is thus very important. By using Agilent LncRNA Human Gene Expression Microarray, we identified a number of lncRNAs that were differentially expressed in breast cancer compared to their corresponding adjacent tissues. According to the microarray, the expression of p10247, henceforth named as lncRNA-BCHE (standing for lncRNA high expressed in breast cancer), was found to be uniformly higher in all the five breast cancer tissues tested, and this was further confirmed in 56 breast cancer tissues by real-time RT-PCR. The function of lncRNA-BCHE in breast cancer cells was tested by knockdown and over-expression experiments in vitro. We also analyzed the public cohorts of breast cancer patients on the Kaplan Meier plotter platform. Clinical analysis revealed that the expression of lncRNA-BCHE was significantly correlated with advanced clinical stage and lymph node metastasis. Our data indicate that lncRNA-BCHE regulates the growth, migration and invasion of breast cancer cells. In addition, we found that these functions are mediated, at least in part, by the regulation of integrin subunit beta 1 (ITGB1) levels. The expression of ITGB1 serves as a negative prognostic factor and metastasis risk predictor in breast cancer, irrespective of subtype and therapeutic regimen. In summary, our results suggest that lncRNA-BCHE is an oncogenic lncRNA enhancing the growth and metastatic potential of breast cancer cells, and a potential predictor of breast cancer metastatic progression.