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An intron-based real-time PCR method for measuring vasopressin gene transcription.

ABSTRACT: The hypothalamus contains distinct neuronal populations that express distinguishing neuropeptides. The supraoptic nucleus contains magnocellular neurons that predominantly express either vasopressin or oxytocin. Transcriptional activators of vasopressin and other neuropeptides have been the subject of much research. Here we present a method of measuring neuropeptide transcription by tailoring one-step quantitative real-time PCR (qRT-PCR) for the analysis of processed and pre-mRNA (heteronuclear RNA). Using moderate and strong hyperosmotic stimuli to induce transcription, we report an increase in vasopressin transcription (pre-mRNA) of 141% and 406% over control levels in response to a 2% injection of 900 mOsm saline or a 1% body weight i.p. injection of 2 M NaCl, respectively. These results agree with a host of studies employing the more labor-intensive method of in situ hybridization histochemistry by which investigators also measured intron-containing heteronuclear RNAs. Furthermore, these results confirm that qRT-PCR with intron-specific primers can be used to rapidly analyze transcription, and suggest an important further benefit of a real-time PCR analysis, such as the ability of measuring transcription of multiple neuropeptides along with other genes from a single sample.

SUBMITTER: Ponzio TA

PROVIDER: S-EPMC2063468 | biostudies-literature | 2007 Aug

REPOSITORIES: biostudies-literature

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An intron-based real-time PCR method for measuring vasopressin gene transcription.

Ponzio Todd A TA Yue Chunmei C Gainer Harold H

Journal of neuroscience methods 20070424 1

The hypothalamus contains distinct neuronal populations that express distinguishing neuropeptides. The supraoptic nucleus contains magnocellular neurons that predominantly express either vasopressin or oxytocin. Transcriptional activators of vasopressin and other neuropeptides have been the subject of much research. Here we present a method of measuring neuropeptide transcription by tailoring one-step quantitative real-time PCR (qRT-PCR) for the analysis of processed and pre-mRNA (heteronuclear ...[more]

PMID: 17540451

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Project description:BackgroundCurrently real time PCR is the most precise method by which to measure gene expression. The method generates a large amount of raw numerical data and processing may notably influence final results. The data processing is based either on standard curves or on PCR efficiency assessment. At the moment, the PCR efficiency approach is preferred in relative PCR whilst the standard curve is often used for absolute PCR. However, there are no barriers to employ standard curves for relative PCR. This article provides an implementation of the standard curve method and discusses its advantages and limitations in relative real time PCR.ResultsWe designed a procedure for data processing in relative real time PCR. The procedure completely avoids PCR efficiency assessment, minimizes operator involvement and provides a statistical assessment of intra-assay variation. The procedure includes the following steps. (I) Noise is filtered from raw fluorescence readings by smoothing, baseline subtraction and amplitude normalization. (II) The optimal threshold is selected automatically from regression parameters of the standard curve. (III) Crossing points (CPs) are derived directly from coordinates of points where the threshold line crosses fluorescence plots obtained after the noise filtering. (IV) The means and their variances are calculated for CPs in PCR replicas. (V) The final results are derived from the CPs' means. The CPs' variances are traced to results by the law of error propagation. A detailed description and analysis of this data processing is provided. The limitations associated with the use of parametric statistical methods and amplitude normalization are specifically analyzed and found fit to the routine laboratory practice. Different options are discussed for aggregation of data obtained from multiple reference genes.ConclusionA standard curve based procedure for PCR data processing has been compiled and validated. It illustrates that standard curve design remains a reliable and simple alternative to the PCR-efficiency based calculations in relative real time PCR.

Dataset Information

An intron-based real-time PCR method for measuring vasopressin gene transcription.

Publications

An intron-based real-time PCR method for measuring vasopressin gene transcription.

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