Strain-dependent variation in the early transcriptional response to CNS injury using a cortical explant system

David J Graber1, Brent T Harris, William F Hickey

  • 1Dept, Pathology, Dartmouth Medical School, Lebanon, New Hampshire, USA. David.J.Graber@Dartmouth.Edu

Journal of Neuroinflammation
|September 28, 2011
PubMed
Abstract

Insights

Genetic background influences the central nervous system's transcriptional response to injury. Mouse strain differences in gene expression were observed in cortical explants following tissue damage, highlighting genetic impact on neurological responses.

Area of Science:

  • Neuroscience
  • Immunology
  • Genetics

Background:

  • Inbred mouse strains exhibit immunological variations.
  • The impact of genetic background on central nervous system (CNS) tissue damage response is not fully understood.
  • A cortical explant model was used to study immediate transcriptional responses to CNS injury.

Purpose of the Study:

  • To investigate whether the immediate transcriptional response to tissue resection reveals genetic differences among three mouse strains.
  • To determine the influence of genetic background on the early molecular events following CNS tissue damage.

Main Methods:

  • Real-time RT-PCR was used to measure immunological mRNAs in cerebral cortex of SJL/J, C57BL/6J, and BALB/cJ mice.
  • Cortical tissue sections were examined both freshly isolated and after incubation in explant medium.
  • mRNA levels were normalized to β-actin and compared using one-way ANOVA.

Main Results:

  • Baseline levels of CD74 and antisecretory factor (ASF) mRNAs differed among strains in freshly isolated tissue.
  • Within five hours of incubation, pro-inflammatory cytokines and chemokines increased in cortical explants.
  • Specific cytokine and chemokine transcript levels (e.g., IL-1α, COX-2, IL-1β, TNF-α) varied significantly among the mouse strains.

Conclusions:

  • The short-term cortical explant model effectively reveals early transcriptional responses to neurological damage.
  • This model can identify gene expression differences influenced by genetic background in the CNS.
  • Genetic background plays a significant role in the immediate transcriptional response to CNS tissue injury.

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