HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Chromosomes 4 and 13 in beta-carboline-induced seizures in mice: benzodiazepine binding.

Abstract
Methyl beta-carboline-3-carboxylate (beta-CCM) is a ligand for the benzodiazepine (BZD) binding site of the GABA-A receptors with convulsive properties. We provided evidence for the involvement of a fragment of mouse chromosomes 4 and 13 in beta-CCM-induced seizures in a previous paper. Here, we analyzed, through [3H]-flumazenil binding, whether central BZD binding sites could be involved in the physiological processes underlying these differences of genetic sensitivities. In the JE/Le strain, where the effects of the chromosome 4 fragment can be analyzed, we found associations between [3H]-flumazenil binding and the convulsive action of beta-CCM. On the contrary, this no longer holds true in C3XtEso strain, where the effects of the chromosome 13 fragment were observed.
AuthorsY Clément, B Martin, D Bondoux, P Venault, J M Launay, G Chapouthier
JournalNeuroreport (Neuroreport) Vol. 11 Issue 10 Pg. 2157-61 (Jul 14 2000) ISSN: 0959-4965 [Print] England
PMID10923662 (Publication Type: Journal Article)
Chemical References
  • Carbolines
  • Convulsants
  • Receptors, GABA-A
  • Tritium
  • Flumazenil
  • beta-carboline-3-carboxylic acid methyl ester
Topics
  • Animals
  • Brain (drug effects, metabolism)
  • Carbolines (pharmacology)
  • Chromosome Mapping
  • Convulsants (pharmacology)
  • Flumazenil (pharmacokinetics)
  • Mice
  • Mice, Inbred Strains
  • Mice, Mutant Strains
  • Radioligand Assay
  • Receptors, GABA-A (drug effects, physiology)
  • Seizures (chemically induced, genetics, physiopathology)
  • Species Specificity
  • Tritium

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: