Optimized Microarray Analysis of Neural Differentiation

Project: Research project

Project Details


DESCRIPTION (Provided By Applicant):
Neuronal differentiation is characterized by changes in both the extent of
intercellular coupling and the expression patterns of connexin genes that
encode gap junction proteins. Using a neuroblastoma culture system, we have
found that stable exogenous expression of different gap junction genes results
in either retarded or accelerated response to differentiating agents. Comparing
gene expression using locally produced cDNA microarrays indicates candidate
genes whose expression is enhanced or depressed in the transfected
neuroblastoma cells. However, the preliminary studies raise important questions
regarding the technique, including threshold of detection, reliability for each
of the spots in the array and detection of clusters representing gene
expression patterns. The Specific Aims of this application are to apply
mathematical algorithms and modify experimental techniques so as to: 1)
minimize the spot ratio errors; 2) determine expected values and controllable
fluctuations of gene expression; 3) build the pre-Hilbert space of standard
gene expression (SSGE); 4) compute the so-called "pathologs" of gene expression
for parental and transfected cells; and 5) define gene clusters within the
SSGE. We expect that these studies will not only improve our use of the
microarray analysis, but will develop new concepts by which such expression
patterns are generally used.
Effective start/end date9/27/017/31/03


  • Genetics
  • Neuroscience(all)


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