searching of membrane target for circadian clock

33
From 33 1 Searching of a membrane target for mammalian circadian clock responsible for circadian modulation of firing rate Nikolai I. Kononenko Department of General Physiology of Nervous System, Bogomoletz Institute of Physiology, Kiev, Ukraine

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AACIMP 2011 Summer School. Neuroscience Stream. Lecture by Nikolai Kononenko.

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Page 1: Searching of membrane target for circadian clock

From 33 1

Searching of a membrane target for mammalian circadian clock responsible for

circadian modulation of firing rate

Nikolai I. Kononenko

Department of General Physiology of Nervous System, Bogomoletz Institute of Physiology,

Kiev, Ukraine

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1. The suprachiasmatic nucleus (SCN) of the hypothalamus is the primary biological clock regulating circadian

rhythms in mammals

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2. Individual SCN neurons express self-sustained circadian oscillations. As a result of internal coupling, the SCN generates a coherent output signal

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Circadian-clockcore

Messenger

Membrane target

0

6

Hz

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There are two common features for presented above hypotheses:

1. All experiments were done employing whole cell recordings

2. Spike-associated currents are key targets for circadian modulation of firing rate

Our approach was based on on-cell (cell-attached) recordings of electrical events in SCN neurons

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Multielectrode array dish

0

6

Hz

0 1 2 3 4 5(Days)

1 min

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Spike-associated currents are key targets for circadian modulation of firing rate

First of all, we asked whether spike-associated currents (i.e., currents

active only during action potentials) are indeed primary membrane target(s)

responsible for circadian modulation of firing rate (CMFR).

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Time (ms)

0 1 2 3 4 5

uV

-20

-10

0

10

222 APs averagedThreshold255 APs averaged

Time (hrs)

0 12 24

Firi

ng r

ate

(Hz)

0

2

4

6Circadian rhythmInterval of averagingInterval of averaging

BAAction potentials across the circadian cycle

Thus, result allowed preliminarily to suggest that spike-associated currents are not a key targets

for circadian modulation of firing rate.

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Nature, 2002, 16, 286-290

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Effect of nifedipine on circadian firing rhythms in SCN neurons

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Nature Neuroscience, 2005, 8, 650-656

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Effect of 4-aminopyridine on circadian rhythms of firing rate in SCN neurons

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A B

Time (hrs)

0 20 40 60 80 100

Firi

ng r

ate

(Hz)

0

2

4

6

8100 M Cd2+

Cd2+ does not suppress immediately spontaneous activity and its circadian modulation

(n=13 neurons)

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Spike-associated channels are not the principal determinants of circadian

modulation of firing rate

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Two acutely isolated SCN neurons on the bottom of a Petri dish 6 days after isolation

100 m

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On-cell recording of single channels

2 pA

100 ms

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Spontaneous firing of isolated SCN neurons and circadian modulation of their firing rate

C

D

30 s

B

A

E

Firing rate (Hz)

0 1 2

Nu

mb

er

of

ne

uro

ns

0

2

4

6

80.87 ± 0.12 Hz

Firing rate (Hz)

0 1 2

Num

ber

of n

euro

ns

0

6

12

18 0.24 ± 0.06 Hz

Firing rate (Hz)

0 1 2

Nu

mb

er

of

ne

uro

ns

0

2

4

6

80.68 ± 0.11 Hz

Noon Midnight Noon of the next day

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2 s (A)5 s (B)

7 pA20 mV

A B

0 pA

C

Vh = -90 mV

Vh = -65 mV

2 s

5 pA

Fluctuation of membrane potential produces spontaneous activity of SCN neuron

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The numerous single-channel inward currents we observed during on-cell recording of spontaneous electrical firing in isolated SCN neurons led us to study the properties of the corresponding channels in their relation to spontaneous electrical firing

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20 ms

2 pA

8 pA

20 mV

A1

A2

A3

Closed time (ms)0 5 10 15 20 25

Num

ber

of e

vent

s

0

200

400

600

800 5 mVf = 0.76 ms

s = 13.4 ms

25 mVf = 0.90 ms

s = 5.31 ms

B

CPatch membrane potential (mV)

-25 0 25 50

Cha

nnel

cur

rent

(pA

)

-4

-2

0

2

57.5 pSErev = 33 mV

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We have revealed a novel set of subthreshold, voltage-dependent cation

(SVC) channels that are active at resting potential and increase their

open probability with membrane depolarization

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A CB

20 pA0.016

2 s 10 s

10 pA0.032

-15 s 15 s0 -100 s 0 100 s

* *

2 pA

200 ms

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Correlation between Po of single-channel activity andspontaneous firing in isolated SCN neuron

1 s10 pA

2 pA0.06

200 ms

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Voltage dependence of persistent single channel

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We hypothesize that a sufficient number of SVC channel openings

would result in threshold depolarization of the SCN neuronal membrane and

spontaneous electrical firing

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Time (min)

0 5 10 15 20 25F

iring

rat

e (H

z)0

1

2

Time (min)

0 5 10 15 20 25

Firi

ng r

ate

(Hz)

0

1

2

A B

db-cGMP application evokes spontaneous electrical activity in acutely isolated SCN neurons

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gC=40 pS; EC=0 mV

o=0.2 ms; fc=1 ms

Single-channel openings (N=1)

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36 channels~0.017 Hz

44 channels~3.2 Hz

55 channels~10 HzB

A

40 mV

Number of channels

40 60 80 100

Fir

ing

ra

te (

Hz)

0

5

10

15

res

=4 ms5 6

7

8 9

Single-channel openings produce spontaneous firing in a model SCN neuron

1 s

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Minimal mammalian circadian clockwork model (circadian oscillator)

From Scheper et al., J Neurosci 1999

Period

Period

Period*

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Time (hrs)

0 5 10 15 20 25 30

Firi

ng r

ate

(Hz)

0

5

10

15

Num

ber

of c

hann

els

0

20

40

60

1

2 2

A B

Circadian modulation of the number of single channels produces modulation of the action potential firing rate

Circadian peaks of 3 intact SCN neurons in MED

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Conclusions

1. The present findings bring together several lines of study seeking a membrane target of the circadian clock, and bridge the gap between single-channel physiology and features of circadian rhythms of firing rate.

2. The SVC single channels described here are proposed to be a key membrane target mediating the effects of circadian clock protein concentration on electrical firing rate.

3. Concomitantly, these data delineate a novel pathway that links the core circadian clock with membrane events regulating spontaneous firing in SCN neurons.

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Acknowledgments:

The author thanks Dr. F.E. Dudek (University of Utah School of Medicine, Salt Lake City, USA) and Dr. S. Honma (Hokkaido University Graduate School of Medicine, Sapporo, Japan), in whose laboratories experimental data were obtained, and Dr. N.M. Berezetskaya (Institute of Physics, Kiev, Ukraine), who converted differential equations into computer programs.