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Related Experiment Videos

A program which automatically quantitates gel electrophoretic autoradiograms

M F Schumaker1

  • 1Department of Biology, University of California at San Diego, La Jolla 92093, USA.

Analytical Biochemistry
|December 1, 1978
PubMed
Summary
This summary is machine-generated.

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A new computer program analyzes gel electropherogram autoradiograms by fitting Gaussian curves to density profiles. This method accurately quantifies protein components from complex band patterns, enhancing gel electrophoresis analysis.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Computational Biology

Background:

  • Gel electrophoresis is a fundamental technique for separating biomolecules.
  • Autoradiograms are commonly used to visualize and quantify results from gel electrophoresis.
  • Analyzing complex band patterns in autoradiograms can be challenging and time-consuming.

Purpose of the Study:

  • To describe a novel computer-coupled system for analyzing autoradiograms of gel electropherograms.
  • To develop and validate software for automated measurement and analysis of gel electrophoresis data.
  • To enable precise quantification of protein components from complex band patterns.

Main Methods:

  • Utilized a computer-coupled film scanner for digitizing autoradiograms.
  • Developed a FORTRAN program to fit Gaussian curves to density profiles without requiring input parameters.

Related Experiment Videos

  • Implemented a secondary program for Gaussian least squares fitting to refine analyses and handle complex patterns.
  • Created a third program to sum density profiles for integrated intensity measurements of isolated components.

    • Main Results:

    • The primary Gaussian fitting program achieved satisfactory fits for the vast majority of complex band patterns.
    • The developed software runs efficiently on small, inexpensive computers.
    • The comparative analysis confirmed the utility of Gaussian least squares fitting for refining results.
    • The integrated intensity measurement program successfully quantified isolated protein components.

    Conclusions:

    • The described computer-coupled system and associated software provide an efficient and accurate method for analyzing gel electropherogram autoradiograms.
    • This approach simplifies the quantification of protein components, improving the analysis of gel electrophoresis data.
    • The software's ability to handle complex patterns and run on basic hardware makes it a valuable tool for researchers.