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Related Experiment Videos

Single nucleotide primer extension: quantitative range, variability, and multiplex analysis

A D Greenwood1, D T Burke

  • 1Department of Human Genetics, University of Michigan, Ann Arbor 48105-0618, USA.

Genome Research
|April 1, 1996
PubMed
Summary
This summary is machine-generated.

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This study characterizes Single Nucleotide Primer Extension (SNuPE) analysis for quantifying gene expression from homologous alleles. SNuPE accurately measures allelic transcripts, even when the minor transcript is 1/250 of the major, with minimal error and broad linearity.

Area of Science:

  • Molecular Biology
  • Genetics
  • Gene Expression Analysis

Background:

  • Quantitative measurement of transcription from homologous alleles is crucial for understanding mammalian gene expression.
  • Allelic transcript discrimination requires sensitive methods capable of detecting small differences.

Purpose of the Study:

  • To characterize the effective range, experimental variation, and influences of different reverse transcription methods for Single Nucleotide Primer Extension (SNuPE) analysis.
  • To assess the feasibility of analyzing multiple genes from a single reverse transcription reaction.

Main Methods:

  • Single Nucleotide Primer Extension (SNuPE) analysis for allelic transcript discrimination.
  • Characterization of poly(dT)-primed and gene-specific reverse transcriptions.

Related Experiment Videos

  • Assessment of assay variation and detection range.

    • Main Results:

    • SNuPE analysis demonstrated a maximum detection range when the minor transcript constituted 1/250 of the major allele.
    • Minimal experimental error was observed within and between assays.
    • Linearity of response was maintained over an approximately thousandfold range.
    • Analysis of multiple genes from a single reverse transcription reaction was feasible.

    Conclusions:

    • SNuPE is a sensitive and effective method for quantitative measurement of allelic transcripts in mammalian gene expression studies.
    • The method exhibits a wide dynamic range, low variability, and adaptability for multiplexing gene analysis.