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Coincident glutamatergic depolarization effects on Cl- dynamics (Lombardi et al, 2021)

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Accession:266823
"... we used compartmental biophysical models of Cl- dynamics simulating either a simple ball-and-stick topology or a reconstructed CA3 neuron. These computational experiments demonstrated that glutamatergic co-stimulation enhances GABA receptor-mediated Cl- influx at low and attenuates or reverses the Cl- efflux at high initial [Cl-]i. The size of glutamatergic influence on GABAergic Cl--fluxes depends on the conductance, decay kinetics, and localization of glutamatergic inputs. Surprisingly, the glutamatergic shift in GABAergic Cl--fluxes is invariant to latencies between GABAergic and glutamatergic inputs over a substantial interval..."
Reference:
1 . Lombardi A, Jedlicka P, Luhmann HJ, Kilb W (2021) Coincident glutamatergic depolarizations enhance GABAA receptor-dependent Cl- influx in mature and suppress Cl- efflux in immature neurons PLOS Comp Bio
Model Information (Click on a link to find other models with that property)
Model Type: Synapse; Dendrite;
Brain Region(s)/Organism:
Cell Type(s): Hippocampus CA3 pyramidal GLU cell;
Channel(s):
Gap Junctions:
Receptor(s): GabaA; AMPA; NMDA;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Short-term Synaptic Plasticity; Synaptic Plasticity; Chloride regulation;
Implementer(s): Jedlicka, Peter [jedlicka at em.uni-frankfurt.de]; Kilb, Werner [wkilb at uni-mainz.de];
Search NeuronDB for information about:  Hippocampus CA3 pyramidal GLU cell; GabaA; AMPA; NMDA; Gaba; Glutamate;
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_For Zip -Neuron-Models_AMPA-GABA
Fig9c-f_Real_Cell_Cl_1GDP_Var-Cl-var-TempCorr
cldif_CA3_NKCC1_HCO3.mod *
gabaA_Cl_HCO3.mod *
vecevent.mod *
Cell1_Cl_HCO3_Pas.hoc
GDP_Cl_All_long.ses
GDP_Cl_All_short.ses *
GDP_Cl_HCO3_All_short.ses *
Random_PSCs_gGABA-0.789-nGABA-100_gAMPA-0.305_Div_Cl_defCorrel.hoc
Random_PSCs_gGABA-0.789-nGABA-534_gAMPA-0.305_Div_Cl_100percCorrel.hoc
Single_GDP_gGABA-0.789-nGABA-100_gAMPA-0.305_Div_Cl_100percCorrel.hoc
Single_GDP_gGABA-0.789-nGABA-100_gAMPA-0.305_Div_Cl_defCorrel.hoc
Single_GDP_gGABA-0.789-nGABA-534_gAMPA-0.305_Div_Cl_100percCorrel.hoc
Single_GDP_gGABA-0.789-nGABA-534_gAMPA-0.305_Div_Cl_normCorrel.hoc
start_Random_PSCs_gGABA-0.789-nGABA-100_gAMPA-0.305_Div_Cl_100percCorrel.hoc
start_Random_PSCs_gGABA-0.789-nGABA-100_gAMPA-0.305_Div_Cl_defCorrel.hoc
start_Single_GDP_gGABA-0.789-nGABA-100_gAMPA-0.305_Div_Cl_100percCorrel.hoc
start_Single_GDP_gGABA-0.789-nGABA-100_gAMPA-0.305_Div_Cl_defCorrel.hoc
start_Single_GDP_gGABA-0.789-nGABA-534_gAMPA-0.305_Div_Cl_100percCorrel.hoc
start_Single_GDP_gGABA-0.789-nGABA-534_gAMPA-0.305_Div_Cl_normCorrel.hoc
                            
// Starts

load_file("nrngui.hoc")
load_file("Cell1_Cl_HCO3_Pas.hoc")
load_file("GDP_Cl_All_long.ses")
load_file("Random_PSCs_gGABA-0.789-nGABA-534_gAMPA-0.305_Div_Cl_100percCorrel.hoc")

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