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Q-RT-PCR: data analysis software for measurement of gene expression by competitive RT-PCR

P A Doris1, A Hayward-Lester, J K Hays

  • 1Department of Cell Biology, Texas Tech University Health Sciences Center, Lubbock 79430, USA. pdoris@imm2.imm.uth.tmc.edu

Computer Applications in the Biosciences : CABIOS
|February 26, 1998
PubMed
Summary

This study introduces software for calculating gene expression using competitive reverse transcription-polymerase chain reaction (RT-PCR). The tool ensures accurate gene expression analysis by assessing assay performance and processing RT-PCR data.

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Area of Science:

  • Molecular Biology
  • Bioinformatics

Background:

  • Competitive reverse transcription-polymerase chain reaction (RT-PCR) is a method for quantifying gene expression.
  • Accurate estimation of gene expression requires specific criteria to be met for reliable results.

Purpose of the Study:

  • To develop and describe software that aids in the computation of gene expression from competitive RT-PCR data.
  • To provide a tool for assessing assay performance and routine data analysis in gene expression quantitation.

Main Methods:

  • Development of a Microsoft Excel add-in software module (100 kb).
  • The software assesses amplification efficiency of native and competitor templates.
  • Utilizes Excel's spreadsheet, statistical, and graphing capabilities for data analysis.

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Main Results:

  • The software assists in evaluating assay performance for competitive RT-PCR.
  • It facilitates routine analysis of gene expression data obtained through competitive RT-PCR.
  • The software is compatible with Windows and Mac versions of Excel 5 and Excel 7.

Conclusions:

  • The developed software provides a valuable tool for accurate gene expression analysis using competitive RT-PCR.
  • It simplifies the assessment of assay validity and the quantitation of gene expression data.
  • The software is readily available for download with installation and usage guides.