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

 Download zip file 
Help downloading and running models
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;
/
_For Zip -Neuron-Models_AMPA-GABA
Fig3f-h_Ball-stick_AP_Effect
borgka.mod *
borgkm.mod *
cadiv.mod *
cagk.mod *
cal2.mod *
can2.mod *
cat.mod *
cldif_CA3_NKCC1_HCO3.mod *
gabaA_Cl_HCO3.mod *
kahp.mod *
kdr.mod *
nahh.mod *
vecevent.mod *
cell_soma_dendrite.hoc
cell_soma_dendrite_AP.hoc
cell_soma_dendrite_bpAP.hoc
cell_soma_dendrite_HH.hoc
cell_soma_dendrite_VGCa.hoc
GABA-AMPA_BS_defined_Conditions_for Plots.hoc
GABA-AMPA_BS_Dif-gAMPA_Var-Cl.hoc
init_Cldif.hoc *
Isolated_Dendrite.ses *
start_GABA-AMPA_BS_Dif-gAMPA_Var-Cl.hoc *
start_GABA-AMPA_BS-AP_Dif-gAMPA_Var-Cl.hoc
start_GABA-AMPA_BS-bpAP_Dif-gAMPA_Var-Cl.hoc
start_GABA-AMPA_BS-HH_Dif-gAMPA_Var-Cl.hoc
start_GABA-AMPA_BS-VGCa_Dif-gAMPA_Var-Cl.hoc
start_GABA-AMPA_BS-wo_Dif-gAMPA_Var-Cl.hoc *
start_single_GABA-AMPA.hoc
start_single_GABA-AMPA_AP.hoc
start_single_GABA-AMPA_HH.hoc
test_a.hoc *
                            
proc celldef() {
  topol()
  subsets()
  geom()
  biophys()
}

//Define Parameters -----------
	gna=0.015
	gkdr=0.009
	gka=0.0001
	gkm=0.00002


create soma, dend, axon

proc topol() { local i
  connect dend(0), soma(1)
  basic_shape()
}
proc basic_shape() {
  soma {pt3dclear() pt3dadd(0, 0, 0, 1) pt3dadd(15, 0, 0, 1)}
  dend {pt3dclear() pt3dadd(15, 0, 0, 1) pt3dadd(515, 0, 0, 1)}

}

objref all
proc subsets() {
  all = new SectionList()
    soma all.append()
    dend all.append()
}

proc geom() {
  forsec all {  }
  soma {  L = 20  diam = 20  nseg = 1}
  dend {  L = 200  diam = 1  nseg = 103}
}

proc biophys() {
  forsec all {
    cm = 1
    Ra = 35.4
    insert pas
      g_pas = 0.001
      e_pas = -60
//    insert cal  
//        gcalbar_cal=0.0025
//    insert can  
//        gcanbar_can=0.0025 
//    insert cat  
//        gcatbar_cat=0.00025 
//    insert kahp 
//        gkahpbar_kahp=0.0004
//    insert cagk 
//        gkbar_cagk=0.00055
  }

  dend {
    
  }

 soma {
   insert nahh    
       gnabar_nahh=gna
   insert borgkdr 
       gkdrbar_borgkdr=gkdr 
   insert borgka  
       gkabar_borgka=gka
   insert borgkm  
       gkmbar_borgkm=gkm
   }


}

access soma

celldef()


Loading data, please wait...