Assessing the residual CFTR gene expression in human nasal epithelium cells bearing CFTR splicing mutations causing cystic fibrosis.

The major purpose of the present study was to quantify correctly spliced CFTR transcripts in human nasal epithelial cells from cystic fibrosis (CF) patients carrying the splicing mutations c.580-1G>T (712-1G>T) and c.2657+5G>A (2789+5G>A) and to assess the applicability of this model in CFTR therapeutic approaches. We performed the relative quantification of CFTR mRNA by reverse transcription quantitative PCR (RT-qPCR) of these splicing mutations in four groups (wild type, CF-F508del controls, CF patients and CF carriers) of individuals. In addition, in vitro assays using minigene constructs were performed to evaluate the effect of a new CF complex allele c.[2657+5G>A; 2562T>G]. Ex vivo qPCR data show that the primary consequence of both mutations at the RNA level is the skipping of their neighboring exon (6 and 16, respectively). The CFTR minigenes results mimicked the ex vivo data, as exon 16 skipping is the main aberrant transcript, and the correctly spliced transcript level was observed in a similar proportion when the c.2657+5G>A mutation is present. In summary, we provide evidence that ex vivo quantitative transcripts analysis using RT/qPCR is a robust technology that could be useful for measuring the efficacy of therapeutic approaches that attempt to achieve an increase in CFTR gene expression.

GUSB and ATP2B4 are suitable reference genes for CFTR gene expression data normalization in nasal epithelium cells.

BACKGROUND: CFTR expression studies contribute in understanding the relationship between CFTR transcripts and clinical outcomes. Normalization of qPCR data is an essential step to determine target gene expression. Consequently, appropriate reference genes must be selected for each gene/tissue. In this work, we have assessed the suitability of four potential reference genes for CFTR expression analysis in nasal epithelium. METHODS: B2M, GUSB, HPRT1 and ATP2B4 expression was evaluated in nasal epithelium samples (CFTR-wt controls, n=21; CFTR-splicing group, n=18) by RT-qPCR. Calibration curves were built and different analyses (geNorm, NormFinder, Mann-Whitney) were performed to evaluate gene expression stability between samples as well as between groups. RESULTS AND CONCLUSIONS: We have applied an accurate approach to select reference genes for CFTR expression analysis in nasal epithelium. From the four genes assessed, GUSB and ATP2B4 have been validated as a reliable gene combination for CFTR gene qPCR data normalization.