Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Quantitative discrimination of MEF2 sites

J W Fickett1

  • 1Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, New Mexico 87545, USA.

Molecular and Cellular Biology
|January 1, 1996
PubMed
Summary

A new position weight matrix accurately identifies Myocyte-specific enhancer factor 2 (MEF2) binding sites in muscle tissue. This tool enhances the understanding of muscle-specific gene regulation by improving MEF2 site recognition.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

An assessment of gene prediction accuracy in large DNA sequences.

Genome research·2000
Same author

Human-mouse genome comparisons to locate regulatory sites.

Nature genetics·2000
Same author

Discovery and modeling of transcriptional regulatory regions.

Current opinion in biotechnology·2000
Same author

Frequent alternative splicing of human genes.

Genome research·1999
Same author

Bacterial start site prediction.

Nucleic acids research·1999
Same author

Predictive methods using nucleotide sequences.

Methods of biochemical analysis·1998

Area of Science:

  • Molecular Biology
  • Genetics
  • Biochemistry

Background:

  • Myocyte-specific enhancer factor 2 (MEF2) is crucial for muscle differentiation and gene expression.
  • Identifying MEF2 binding sites is key to understanding muscle-specific gene regulation.
  • Current methods for identifying MEF2 sites include sequence homology and consensus matching.

Purpose of the Study:

  • To develop and assess a more quantitative method for identifying MEF2 binding sites.
  • To construct a position weight matrix for MEF2 binding sites.
  • To evaluate the matrix's effectiveness in recognizing natural MEF2 binding sites.

Main Methods:

  • Construction of a position weight matrix based on accumulated MEF2 binding site data.
  • Assessment of the matrix's ability to approximate MEF2 binding energy.
  • Evaluation of the matrix for high sensitivity and specificity in recognizing MEF2 sites.

Main Results:

  • The developed position weight matrix reliably describes MEF2 binding sites.
  • Scores from the matrix effectively approximate MEF2 binding energy.
  • The matrix demonstrates high sensitivity and specificity in recognizing naturally occurring MEF2 binding sites.

Conclusions:

  • A position weight matrix offers a more quantitative approach to identifying MEF2 binding sites.
  • This method aids in disentangling complex regulatory circuits involved in muscle-specific gene expression.
  • Improved recognition of MEF2 sites is vital given the involvement of multiple transcription factors with overlapping specificities.

Related Experiment Videos