Cellular Calcium Dynamics Jussi Koivumki, Glenn Lines & Joakim - - PowerPoint PPT Presentation

cellular calcium dynamics
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Cellular Calcium Dynamics Jussi Koivumki, Glenn Lines & Joakim - - PowerPoint PPT Presentation

Cellular Calcium Dynamics Jussi Koivumki, Glenn Lines & Joakim Sundnes Cellular calcium dynamics A real cardiomyocyte is obviously not an empty cylinder, where Ca 2+ just diffuses freely... ...instead it's filled with myofibrils,


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Cellular Calcium Dynamics

Jussi Koivumäki, Glenn Lines & Joakim Sundnes

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Cellular calcium dynamics

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A real cardiomyocyte is obviously not an empty cylinder, where Ca2+ just diffuses freely...

junctional sarcoplasmic reticulum network sarcoplasmic reticulum

...instead it's filled with myofibrils, mitochondria, sarcoplasmic reticulum, t-tubule, etc.

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Cellular calcium dynamics: influx

Membrane Ca2+ channels open during the action potential This triggers release of Ca2+ from the sarcoplasmic reticulum (SR) via ryanodine receptors (RyRs)

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Cellular calcium dynamics: efflux

Primarily, Ca2+ is removed from the cytosol by sarcoplasmic reticulum Ca2+ ATPase (SERCA) Secondarily, Ca2+ is extruded by the Na+/Ca2+ exchanger (NCX)

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Cellular calcium dynamics

Let's take a step back and view development… Why has calcium dynamics evolved to be so complex?

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In addition to actions on the contractile filaments, calcium signals also regulate

  • the activity of kinases, phosphatases, ion channels,

exchangers and transporters, as well as

  • function, growth, gene expression, differentiation, and

development of cardiac muscle cells.

  • The multifunctional roles require

1) high dynamic gain, as well as 2) fast propagation and 3) accurate spatial control of the calcium signals.

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What does “high dynamic gain” mean in the context

  • f calcium dynamics?
  • In the adult mammalian heart, calcium-induced calcium

release establishes an outstanding dynamic range of calcium signals

up to 1000-fold increase in the calcium concentration in only tens of milliseconds.

  • This is a totally different scale than, for example, intracellular

Na+ and K+ concentrations,

which vary by some tens of percent, at most.

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What defines propagation speed of calcium signals in the cytosol?

  • In all biological systems, diffusion is a ubiquitous mechanism

equalizing the concentration gradients of all moving particles in the cells cytosol.

It forms also the basis for distribution of Ca2+ ions in the cytosol.

  • In general, in muscle cells diffusion of ions (K+, Na+, Cl-) in

cytosol is relatively fast, only 2-fold slower than in water.

  • However, diffusion of Ca2+ is an exception from this rule, it is

50-times slower in the cytosol than in pure water.

This is due to the stationary and mobile calcium buffers that slow down the calcium diffusion remarkably.

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Why is the propagation speed of calcium signals in the cytosol so slow?

  • The “job” of a cardiomyocyte is to contract upon electrical

stimulus and not to diffuse calcium as fast as possible... 1) Assembly of contractile elements is progressively augmented during development to fulfill the demand for more forceful contraction 2) Capacity of SR calcium stores is synchronously increased to provide more calcium release for activating contraction.

  • Both of these developmental steps lead to increased cytosolic

calcium buffering.

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How to ensure fast (enough) propagation of calcium signals in the cytosol?

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Main players in calcium handling are:

  • Buffers
  • Pumps
  • Transporters/exchangers
  • Ion channels
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Calcium buffers are large Ca2+ binding proteins.

CaM

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Well mixed concentrations

If we assume a well mixed solution the concentration only vary with time, not space: dc dt = JIPR + JRyR + Jin + Jpm − Jserca − Jon + Joff Where c is the calcium concentration, similarly for the endoplasmic content: dce dt = γ(Jserca − JIPR − JRyR) − Jon,e + Joff,e where γ = vcyt/ve

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Calcium pumps

Early model based on Hill-type formulation: Jserca = Vpc2 K 2

p + c2

Draw backs: Independent of ce and always positive, which is not the case when ce is large.

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Alternative formulation

Two main configurations: E1 Calcium binding sites exposed to cytoplasma E2 Calcium binding sites exposed to endoplasmic reticulum

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Model reduction

Assuming steady state between s1 and s2, and t2 and t3. And introduce ¯ s1 = s1 + s2 and ¯ t2 = t2 + t3, s1 = K1 c2 s2 ¯ s1 = s1 ✓ 1 + c2 K1 ◆ = s2 ✓ 1 + K1 c2 ◆

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Calcium release

Calcium released from internal stores is mediated by 2 types of channels (receptors)

I Inositol (1,4,5)-triphosphate (IP3) receptors I Ryanodine receptors

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Ryanodine Receptors, 7.2.9

I Sits at the surface of intra cellular calcium stores

I Endoplasmic Reticulum (ER) I Sarcoplasmic Reticulum (SR)

I Sensitive to calcium. Both activation and inactivation. I Upon stimulation calcium is released from the stores. I To different pathways

I Triggering from action potential through extra cellular calcium

inflow.

I Calcium oscillations observed in some neurons at fixed

membrane potentials.

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Compartments and fluxes in the model

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Model equations

d[c] dt = JL1 − JP1 + JL2 − JP2 d[cs] dt = γ(JP2 − JL2) JL1 = k1(ce − c), Ca2+ entry JP1 = k2c, Ca2+ extrusion JL2 = k3(cs − c), Ca2+ release JP2 = k4c, Ca2+ uptake

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The calcium sensitivity

Release modelled with Hill type dynamics: JL2 = k3(cs − c) = (κ1 + κ2cn K n

d + cn )(cs − c)

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Experiments and simulations

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I Good agreement between experiments and simulations I Inactivation through calcium not included, but does not seem

to be an important aspect

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Buffered diffusion, 2.2.5

Consider buffering of calcium: [Ca2+] + [B]

k+

− → ← −

k−

[CB] Conservation implies: ∂c ∂t = Dc ∂2c ∂x2 + kw − k+cv + f (t, x, c) ∂v ∂t = Db ∂2v ∂x2 + kw − k+cv ∂w ∂t = Db ∂2w ∂x2 − kw + k+cv where c = [Ca2+], v = [B], and w = [CB]. Buffer is large compared to Ca2+ so Db is used for both bound and unbound state.

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Quasi static assumption

Adding the buffer equations yields, ∂(v + w) ∂t = Db ∂2(v + w) ∂x2 Thus if v + w is initially uniform, it will stay uniform, v(x) + w(x) = w0 If buffering is fast compared to f : k(w0 − v) − k+cv = 0 so: v = Keqw0 Keq + c , where Keq = k/k+

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Eliminating v and w

Subtracting the equations for ct and vt and then eliminating v and w yields: ct = Dc + φ(c)Db 1 + φ(c) cxx + Dbφ0(c) 1 + φ(c)(cx)2 + f (t, x, c) 1 + φ(c) where φ(c) = Keqw0/(Keq + c)2 Buffering thus gives rise to a non-linear transport equation with non-linear diffusion coefficient. If c << Keq, then φ(c) ≈ w0/Keq. Deff = Dc + Db w0 Keq 1 + w0 Keq I.e. a linear combination of Dc and Db. Reaction rate is slowed by 1/(1 + w0/Keq)