High-performance quantification of mature microRNAs by real-time RT-PCR using deoxyuridine-incorporated oligonucleotides and hemi-nested primers.

MicroRNAs are small noncoding RNAs that serve as important regulators of eukaryotic gene expression and are emerging as novel diagnostic and therapeutic targets for human diseases. Robust and reliable detection of miRNAs is an essential step for understanding the functional significance of these small RNAs in both physiological and pathological processes. Existing methods for miRNA quantification rely on fluorescent probes for optimal specificity. In this study, we developed a high-performance real-time reverse transcriptase-polymerase chain reaction (RT-PCR) assay that allows specific and rapid detection of mature miRNAs using a fast thermocycling profile (10 sec per cycle). This assay exhibited a wide dynamic range (>7 logs) and was capable of detecting miRNAs from as little as 1 pg of the total RNA or as few as 10 cells. The use of modified reverse-transcription oligonucleotides with a secondary structure and hemi-nested reverse PCR primers allowed excellent discrimination of mature miRNAs from their precursors and highly homologous family members using SYBR Green I. Using a novel approach involving uracil-DNA glycosylase treatment, we showed that carryover of the reverse transcription oligonucleotide to the PCR can be successfully eliminated and discrimination between miRNA homologs could be further enhanced. These assays were further extended for multiplexed detection of miRNAs directly from cell lysates without laborious total RNA isolation. With the robust performance of these assays, we identified several miRNAs that were regulated by glial cell-line-derived neurotrophic factor in human glioblastoma cells. In summary, this method could provide a useful tool for rapid, robust, and cost-effective quantification of existing and novel miRNAs.

Novel reference genes for quantifying transcriptional responses of Escherichia coli to protein overexpression by quantitative PCR.

BACKGROUND: Accurate interpretation of quantitative PCR (qPCR) data requires normalization using constitutively expressed reference genes. Ribosomal RNA is often used as a reference gene for transcriptional studies in E. coli. However, the choice of reliable reference genes has not been systematically validated. The objective of this study is to identify a set of reliable reference genes for transcription analysis in recombinant protein over-expression studies in E. coli. RESULTS: In this study, the meta-analysis of 240 sets of single-channel Affymetrix microarray data representing over-expressions of 63 distinct recombinant proteins in various E. coli strains identified twenty candidate reference genes that were stably expressed across all conditions. The expression of these twenty genes and two commonly used reference genes, rrsA encoding ribosomal RNA 16S and ihfB, was quantified by qPCR in E. coli cells over-expressing four genes of the 1-Deoxy-D-Xylulose 5-Phosphate pathway. From these results, two independent statistical algorithms identified three novel reference genes cysG, hcaT, and idnT but not rrsA and ihfB as highly invariant in two E. coli strains, across different growth temperatures and induction conditions. Transcriptomic data normalized by the geometric average of these three genes demonstrated that genes of the lycopene synthetic pathway maintained steady expression upon enzyme overexpression. In contrast, the use of rrsA or ihfB as reference genes led to the mis-interpretation that lycopene pathway genes were regulated during enzyme over-expression. CONCLUSION: This study identified cysG/hcaT/idnT to be reliable novel reference genes for transcription analysis in recombinant protein producing E. coli.

Normalization with genes encoding ribosomal proteins but not GAPDH provides an accurate quantification of gene expressions in neuronal differentiation of PC12 cells.

BACKGROUND: Gene regulation at transcript level can provide a good indication of the complex signaling mechanisms underlying physiological and pathological processes. Transcriptomic methods such as microarray and quantitative real-time PCR require stable reference genes for accurate normalization of gene expression. Some but not all studies have shown that housekeeping genes (HGKs), beta-actin (ACTB) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH), which are routinely used for normalization, may vary significantly depending on the cell/tissue type and experimental conditions. It is currently unclear if these genes are stably expressed in cells undergoing drastic morphological changes during neuronal differentiation. Recent meta-analysis of microarray datasets showed that some but not all of the ribosomal protein genes are stably expressed. To test the hypothesis that some ribosomal protein genes can serve as reference genes for neuronal differentiation, a genome-wide analysis was performed and putative reference genes were identified based on stability of expressions. The stabilities of these potential reference genes were then analyzed by reverse transcription quantitative real-time PCR in six differentiation conditions. RESULTS: Twenty stably expressed genes, including thirteen ribosomal protein genes, were selected from microarray analysis of the gene expression profiles of GDNF and NGF induced differentiation of PC12 cells. The expression levels of these candidate genes as well as ACTB and GAPDH were further analyzed by reverse transcription quantitative real-time PCR in PC12 cells differentiated with a variety of stimuli including NGF, GDNF, Forskolin, KCl and ROCK inhibitor, Y27632. The performances of these candidate genes as stable reference genes were evaluated with two independent statistical approaches, geNorm and NormFinder. CONCLUSIONS: The ribosomal protein genes, RPL19 and RPL29, were identified as suitable reference genes during neuronal differentiation of PC12 cells, regardless of the type of differentiation conditions. The combination of these two novel reference genes, but not the commonly used HKG, GAPDH, allows robust and accurate normalization of differentially expressed genes during PC12 differentiation.

Identification and validation of reference genes for expression studies in a rat model of neuropathic pain.

Neuropathic pain is triggered by damage to or as a result of the dysfunction of the somatosensory nervous system. Gene expression profiling using DNA microarray and real-time PCR have emerged as powerful tools for the elucidation of pain-specific pathways and identification of candidate biomarkers and therapeutic targets. Proper normalization of the gene expression data with stable reference genes is a prerequisite to obtaining accurate gene expression changes. We have evaluated the stability of six candidate reference genes which include three commonly used housekeeping genes (ACTB, GAPDH and HMBS) and three ribosomal protein genes (RPL3, RPL19 and RPL29) using real-time PCR in a rat model of neuropathic pain. Unexpectedly, ACTB but not GAPDH was stably expressed. In addition, we have identified RPL29 and RPL3 as novel reference genes. Normalization of expression data using GAPDH or HMBS led to overestimation of transcriptional changes. Using RPL29/RPL3/ACTB as reference genes, a number of transcripts were found to be specifically and significantly regulated in injured dorsal root ganglia. These genes may contribute to the development of neuropathic pain pathology and may serve as candidate biomarkers for potential diagnosis.

Cyclic AMP signalling through PKA but not Epac is essential for neurturin-induced biphasic ERK1/2 activation and neurite outgrowths through GFRα2 isoforms.

Cyclic AMP (cAMP) and neurotrophic factors are known to interact closely to promote neurite outgrowth and neuronal regeneration. Glial cell line-derived neurotrophic factor (GDNF) and its family member neurturin (NTN) transduce signal through a multi-component receptor complex consisting of GDNF family receptor alpha 2 (GFRα2) and Ret receptor tyrosine kinase. Neurons from GFRα2-deficient mice do not promote axonal initiation when stimulated by NTN, consistent with the role of GFRα2 in neuronal outgrowth. Multiple alternatively spliced isoforms of GFRα2 are known to be expressed in the nervous system. GFRα2a and GFRα2c but not GFRα2b promoted neurite outgrowth. It is currently unknown if cAMP signalling is differentially regulated by these isoforms. In this study, NTN activation of GFRα2a and GFRα2c but not GFRα2b induced biphasic ERK1/2 activation and phosphorylation of the major cAMP target CREB. Interestingly, inhibition of cAMP signalling significantly impaired GFRα2a and GFRα2c-mediated neurite outgrowth while cAMP agonists cooperated with GFRα2b to induce neurite outgrowth. Importantly, the specific cAMP effector PKA but not Epac was essential for NTN-induced neurite outgrowth, through transcription and translation-dependent activation of late phase ERK1/2. Taken together, these results not only demonstrated the essential role of cAMP-PKA signalling in NTN-induced biphasic ERK1/2 activation and neurite outgrowth, but also suggested cAMP-PKA signalling as a hitherto unrecognized underlying mechanism contributing to the differential neuritogenic activities of GFRα2 isoforms.