Viertel2019 - A Computational model of the mammalian external tufted cell

  public model
Model Identifier
BIOMD0000000844
Short description 
This is a mathematical conductance-based model of the bursting activity in external tufted (ET) cells of the olfactory bulb. The model includes ion-current based descriptions of the mechanisms underlying bursting in ET cells, with facilitation of blocking various currents to characterise bursting behaviour.
Format
SBML (L2V4)
Related Publication
  • A Computational model of the mammalian external tufted cell.
  • Viertel R, Borisyuk A
  • Journal of theoretical biology , 2/ 2019 , Volume 462 , pages: 109-121 , PubMed ID: 30290156
  • University of Utah, Department of Mathematics, 155 S 1400 E, Salt Lake City, Utah 84112, United States. Electronic address: viertel@math.utah.edu.
  • We introduce a novel detailed conductance-based model of the bursting activity in external tufted (ET) cells of the olfactory bulb. We investigate the mechanisms underlying their bursting, and make experimentally-testable predictions. The ionic currents included in the model are specific to ET cells, and their kinetic and other parameters are based on experimental recordings. We validate the model by showing that its bursting characteristics under various conditions (e.g. blocking various currents) are consistent with experimental observations. Further, we identify the bifurcation structure and dynamics that explain bursting behavior. This analysis allows us to make predictions of the response of the cell to current pulses at different burst phases. We find that depolarizing (but not hyperpolarizing) inputs received during the interburst interval can advance burst timing, creating the substrate for synchronization by excitatory connections. It has been hypothesized that such synchronization among the ET cells within one glomerulus might help coordinate the glomerular output. Next we investigate model parameter sensitivity and identify parameters that play the most prominent role in controlling each burst characteristic, such as the burst frequency and duration. Finally, the response of the cell to periodic inputs is examined, reflecting the sniffing-modulated input that these cell receive in vivo. We find that individual cells can be better entrained by inputs with higher, rather than lower, frequencies than the intrinsic bursting frequency of the cell. Nevertheless, a heterogeneous population of ET cells (as may be found in a glomerulus) is able to produce reliable periodic population responses even at lower input frequencies.
Contributors
Submitter of the first revision: Johannes Meyer
Submitter of this revision: Rahuman Sheriff
Modellers: Rahuman Sheriff, Johannes Meyer

Metadata information

is (2 statements)
BioModels Database BIOMD0000000844
BioModels Database MODEL1911100001

isDescribedBy (1 statement)
PubMed 30290156

isDerivedFrom (3 statements)
PubMed 25717156
PubMed 9497431
PubMed 21723921

hasProperty (3 statements)
Mathematical Modelling Ontology Ordinary differential equation model
TEDDY TEDDY_0000055
Cell Type Ontology olfactory bulb tufted cell

Curation status
Curated
Tags

Connected external resources

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Name Description Size Actions

Model files
Viertel2019.xml SBML L2V4 Representation of Viertel2019 - A Computational model of the mammalian external tufted cell 121.59 KB Preview | Download

Additional files
Viertel2019.cps COPASI file of Viertel2019 - A Computational model of the mammalian external tufted cell 164.04 KB Preview | Download
Viertel2019.sedml SED-ML file of Viertel2019 - A Computational model of the mammalian external tufted cell 4.28 KB Preview | Download

  • Model originally submitted by : Johannes Meyer
  • Submitted: Nov 10, 2019 3:56:50 PM
  • Last Modified: Oct 5, 2021 7:57:05 PM
Revisions
  • Version: 4 public model Download this version
    • Submitted on: Oct 5, 2021 7:57:05 PM
    • Submitted by: Rahuman Sheriff
    • With comment: Automatically added model identifier BIOMD0000000844
  • Version: 2 public model Download this version
    • Submitted on: Nov 10, 2019 3:56:50 PM
    • Submitted by: Johannes Meyer
    • With comment: Automatically added model identifier BIOMD0000000844

(*) You might be seeing discontinuous revisions as only public revisions are displayed here. Any private revisions unpublished model revision of this model will only be shown to the submitter and their collaborators.

Legends
: Variable used inside SBML models


Species
Species Initial Concentration/Amount
nHVK

C765 ; Electrical Current 		0.049382804823416 item
nK

Electrical Current ; C765 		0.055706295559466 item
hNaP

Electrical Current ; C830 		0.139259083672574 item
hLVA

C331 ; Electrical Current 		0.216830183163897 item
Ca

C331 		3.9839179219E-4 item
mLVA

Electrical Current ; C331 		0.048620921041047 item
mBK

C765 ; Electrical Current 		0.118223401083348 item
hH

Electrical Current 		0.157733123889777 item
V

SBO:0000259 		-51.4085348748388 item
Reactions
Reactions Rate Parameters
=> nHVK compartment*(nHVK_inf-nHVK)/nHVK_tau nHVK_tau = 1000.00007479349; nHVK_inf = 2.244842984971E-5
=> nK compartment*(nK_Inf-nK)/nK_tau nK_Inf = 0.0560848507623637; nK_tau = 4.60171012895541
=> hNaP compartment*(hNaP_inf-hNaP)/hNaP_tau hNaP_tau = 483.668077978459; hNaP_inf = 0.373251468077049
=> hLVA compartment*(hLVA_inf-hLVA)/hLVA_tau hLVA_tau = 329.955639297499; hLVA_inf = 0.333222156222541
=> Ca compartment*(Ca0-Ca)/tau_Ca tau_Ca = 8.0; Ca0 = 2.0E-5
=> mLVA compartment*(mLVA_inf-mLVA)/mLVA_tau mLVA_tau = 17.5876479384678; mLVA_inf = 0.0509254933768459
=> mBK compartment*(mBK_inf-mBK)/mBK_tau mBK_inf = 2.00990799551082E-5; mBK_tau = 219.103190338819
=> hH compartment*(hH_inf-hH)/hH_tau hH_tau = 7.13025057731447; hH_inf = 0.155405252349385
V => compartment*(INa+IK+ILVA+IH+INaP+IL+IHVA+IBK+IHVK)/C IBK = 31.678826380681; INa = -0.012838612439222; IHVA = -0.585636135043006; INaP = -6.09894732028694; C = 21.0; ILVA = -1.31979373465397; IK = 0.00668833084914886; IHVK = 0.0878809960822716; IL = 27.7286628129031; IH = -51.7633892852534
Ca => compartment*Ca_buffer*10*(ILVA+IHVA)/(Ca_z*F*d) d = 1.0; Ca_buffer = 0.5; F = 96485.0; IHVA = -0.585636135043006; ILVA = -1.31979373465397; Ca_z = 2.0