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Mouse nerve growth factor gene: structure and expression.

M J Selby1, R Edwards, F Sharp

  • 1Hormone Research Institute, University of California, San Francisco 94143.

Molecular and Cellular Biology
|September 1, 1987
PubMed
Summary
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The mouse nerve growth factor (NGF) gene structure and its four mRNA variants were identified. NGF gene expression during development is regulated independently of neural network formation.

Area of Science:

  • Molecular Biology
  • Neuroscience
  • Genetics

Background:

  • Nerve Growth Factor (NGF) is crucial for neuronal development and survival.
  • Understanding the genetic regulation of NGF is key to comprehending neurodevelopmental processes.

Purpose of the Study:

  • To elucidate the complete genomic organization and sequence of the mouse NGF gene.
  • To characterize the different mRNA transcripts produced from the NGF gene.
  • To investigate the regulation of NGF gene expression during postnatal development and in response to sensory input.

Main Methods:

  • Gene sequencing and mapping to determine the 45-kilobase structure.
  • Analysis of mRNA species using techniques like Northern blotting or RT-PCR.
  • Quantitative analysis of transcript levels in various tissues and developmental stages.

Related Experiment Videos

  • Examination of gene expression changes following sensory deprivation in the brain.

    • Main Results:

    • The mouse NGF gene spans 45 kb with multiple small 5' exons.
    • Four distinct mRNA species are generated through alternative splicing and dual promoter initiation.
    • These transcripts encode proteins with varying N-termini but a common NGF C-terminus.
    • NGF transcript levels exhibit distinct patterns during postnatal development and are regulated independently of complex neural network formation, even after sensory deprivation.

    Conclusions:

    • The complex transcriptional regulation of the mouse NGF gene allows for diverse protein isoforms.
    • NGF gene expression is developmentally programmed and not solely driven by neural activity or network complexity.