Hybridization of biotinylated oligo(dT) for Eukaryotic mRNA quantitation

Quantitation of mRNA content in samples of total cellular RNA is required for the analysis of Northern blot hybridization to estimate the relative level of specific gene expression. Commonly used methods based on UV absorbance and dye staining measure only total RNA, and mRNA normalization by probing for mRNA levels of housekeeping genes, such as β-actin and glyceraldehyde-3-phosphate dehydrogenase, assumes a constant level of their expression, which, in fact, may vary as a function of cell proliferation and differentiation. We describe here a nonradioactive, slot-blotting method for quantifying eukaryotic mRNA levels using a biotinylated oligo(dT) probe, which hybridizes directly to the 3′-polyadenylated sequence of eukaryotic mRNAs. The method provides a more accurate estimation of mRNA content in total RNA samples and should be applicable for quantitative Northern analysis.     

Simple absolute quantification method correcting for quantitative PCR efficiency variations for microbial community samples

Real-time quantitative PCR (qPCR) is a widely used technique in microbial community analysis, allowing the quantification of the number of target genes in a community sample. Currently, the standard-curve (SC) method of absolute quantification is widely employed for these kinds of analysis. However, the SC method assumes that the amplification efficiency (E) is the same for both the standard and the sample target template. We analyzed 19 bacterial strains and nine environmental samples in qPCR assays, targeting the nifH and 16S rRNA genes. The E values of the qPCRs differed significantly, depending on the template. This has major implications for the quantification. If the sample and standard differ in their E values, quantification errors of up to orders of magnitude are possible. To address this problem, we propose and test the one-point calibration (OPC) method for absolute quantification. The OPC method corrects for differences in E and was derived from the ΔΔC(T) method with correction for E, which is commonly used for relative quantification in gene expression studies. The SC and OPC methods were compared by quantifying artificial template mixtures from Geobacter sulfurreducens (DSM 12127) and Nostoc commune (Culture Collection of Algae and Protozoa [CCAP] 1453/33), which differ in their E values. While the SC method deviated from the expected nifH gene copy number by 3- to 5-fold, the OPC method quantified the template mixtures with high accuracy. Moreover, analyzing environmental samples, we show that even small differences in E between the standard and the sample can cause significant differences between the copy numbers calculated by the SC and the OPC methods.