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 PMID:23696872  

Stochastic model of Tsc1 lesions in mouse brain.

Shilpa Prabhakar | June Goto | Xuan Zhang | Miguel Sena-Esteves | Roderick Bronson | Jillian Brockmann | Davide Gianni | Gregory R Wojtkiewicz | John W Chen | Anat Stemmer-Rachamimov | David J Kwiatkowski | Xandra O Breakefield
PloS one | 2013

Tuberous sclerosis complex (TSC) is an autosomal dominant disorder due to mutations in either TSC1 or TSC2 that affects many organs with hamartomas and tumors. TSC-associated brain lesions include subependymal nodules, subependymal giant cell astrocytomas and tubers. Neurologic manifestations in TSC comprise a high frequency of mental retardation and developmental disorders including autism, as well as epilepsy. Here, we describe a new mouse model of TSC brain lesions in which complete loss of Tsc1 is achieved in multiple brain cell types in a stochastic pattern. Injection of an adeno-associated virus vector encoding Cre recombinase into the cerebral ventricles of mice homozygous for a Tsc1 conditional allele on the day of birth led to reduced survival, and pathologic findings of enlarged neurons, cortical heterotopias, subependymal nodules, and hydrocephalus. The severity of clinical and pathologic findings as well as survival was shown to be dependent upon the dose and serotype of Cre virus injected. Although several other models of TSC brain disease exist, this model is unique in that the pathology reflects a variety of TSC-associated lesions involving different numbers and types of cells. This model provides a valuable and unique addition for therapeutic assessment.

Pubmed ID: 23696872

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Associated grants

  • Agency: NINDS NIH HHS, United States
    Id: R01 NS072167
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS070835
  • Agency: NINDS NIH HHS, United States
    Id: NS24279-23
  • Agency: NINDS NIH HHS, United States
    Id: R01NS070835
  • Agency: NCI NIH HHS, United States
    Id: K08 CA136983
  • Agency: NINDS NIH HHS, United States
    Id: P01 NS024279
  • Agency: NINDS NIH HHS, United States
    Id: R01NS072167

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