T-type Calcium currents (McRory et al 2001)

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Accession:19920
NEURON mod files for CaT currents from the paper McRory et al., J.Biol.Chem. 276:3999 (2001). In this paper, three members (alpha-1G, -1H, and -1I) of the LVA calcium channels family were studied. Kinetic parameters were derived from functional expression in transfected cells.
Reference:
1 . McRory JE, Santi CM, Hamming KS, Mezeyova J, Sutton KG, Baillie DL, Stea A, Snutch TP (2001) Molecular and functional characterization of a family of rat brain T-type calcium channels. J Biol Chem 276:3999-4011 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Channel/Receptor;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s): I T low threshold;
Gap Junctions:
Receptor(s):
Gene(s): Cav3.2 CACNA1H; Cav3.1 CACNA1G; Cav3.3 CACNA1I;
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Ion Channel Kinetics;
Implementer(s): Hines, Michael [Michael.Hines at Yale.edu];
Search NeuronDB for information about:  I T low threshold;
create a
a	{
	insert cat1i 
	insert cat1g 
	insert cat1h 
	}
access a

tstop=100
celsius=22
vlow=-120
vhigh=0

objref gk, b,gt,vc, gs,c, gf,ic
b = new HBox()
b.intercept(1)
gk = new Graph(0)
gk.view(-100,0,100,1,0,0,200,200)
gk.exec_menu("New Axis")
gk.exec_menu("10% Zoom out")
gk.label(0.1,0.9,"Fig.7A, activation")
gk.addexpr("ninf_cat1i",2,2, 2*tstop,0,2)
gk.addexpr("ninf_cat1g",3,2, 2*tstop,0,2)
gk.addexpr("ninf_cat1h",1,2, 2*tstop,0,2)

gt = new Graph(0)
gt.view(vlow,0,80,1,0,0,200,200)
gt.exec_menu("New Axis")
gt.exec_menu("10% Zoom out")
gt.label(0.1,0.9,"Fig.7B, inactivation")
gt.addexpr("linf_cat1i",2,2, 2*tstop,0,2)
gt.addexpr("linf_cat1g",3,2, 2*tstop,0,2)
gt.addexpr("linf_cat1h",1,2, 2*tstop,0,2)

xpanel("")
xbutton("run ", "run()")
xpanel()
b.intercept(0)
b.map("CaT kinetics",200,200,600,200)

c = new HBox()
c.intercept(1)
gs = new Graph(0)
gs.view(-80,0,80,20,0,0,200,200)
gs.exec_menu("New Axis")
gs.exec_menu("10% Zoom out")
gs.label(0.1,0.9,"Figs.6B-C-D, tau_act.")
gs.addexpr("taun_cat1i",2,2, 2*tstop,0,2)
gs.addexpr("taun_cat1g",3,2, 2*tstop,0,2)
gs.addexpr("taun_cat1h",1,2, 2*tstop,0,2)

gf = new Graph(0)
gf.view(-80,0,80,400,0,0,200,200)
gf.exec_menu("New Axis")
gf.exec_menu("10% Zoom out")
gf.label(0.1,0.9,"Figs.6E-F-G, tau_inact.")
gf.addexpr("taul_cat1i",2,2, 2*tstop,0,2)
gf.addexpr("taul_cat1g*2",3,2, 2*tstop,0,2)
gf.addexpr("taul_cat1h",1,2, 2*tstop,0,2)

c.intercept(0)
c.map("CaT time constants",200,600,480,200)

proc run() {

gk.begin()
gk.color(2)
gk.label(0.1,0.7,"CaT-1i")
gk.color(3)
gk.label(0.1,0.63,"CaT-1g")
gk.color(1)
gk.label(0.1,0.56,"CaT-1h")
gf.color(3)
gf.label(0.1,0.2,"2x tau_1g")

for (v=vlow; v<vhigh; v=v+1) {
    rates_cat1i(v)
    rates_cat1g(v)
    rates_cat1h(v)
    gk.plot(v)
    gt.plot(v)
if (v>-60) {gs.plot(v)}
if (v>-65) {gf.plot(v)}
}
gk.flush()
gt.flush()
gs.flush()
gf.flush()
doNotify()
}

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