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Development and validation of NMDA receptor ligand- gated ion channel assays using the Qube 384 automated electrophysiology platform

Abigail Marklew, Juha Kammonen, Emma Richardson & Jonathan Mann Walden, Essex, UK

Abigail Marklew, Juha Kammonen, Emma Richardson and Gary Clark Saffron1 ABSTRACT Walden, Essex, UK 2 MATERIALS AND METHODS

Ligand-gated ion channels are of particular interest to the pharmaceutical industry for the Cell Culture: HEK-NMDA NR1/N2A receptor cells were produced at Charles River Laboratories and treatment of diseases from a variety of therapeutic areas including CNS disorders, respiratory are commercially available. All cells were grown according to their respective SOPs as developed by disease and chronic pain. Ligand-gated ion channels have historically been investigated using Charles River, except for the use of D-(-)-AP-5 as antagonist during induction. Cells were kept in a fluorescence-based and low throughput patch-clamp techniques. However the development of the serum-free medium in the cell hotel on the Qube instrument for up to 4 hours during experiment. Qube 384 automated patch-clamp system has allowed rapid exchange of liquid and direct Induction: Cells were induced 24 h prior to use using 1 µg/mL tetracycline and 100 µM D-(-)-AP-5 in measurement of ion channel currents on a millisecond timescale, making it possible to run HTS neurobasal medium + 10% dialysed FBS. campaigns and support SAR with a functional readout. Solutions: The following extracellular saline solution was used (mM): 145 NaCl. 4 KCl, 10 HEPES, 10 , 2 CaCl2, pH7.4. Intracellular solution (mM): 70 KCl, 70 KF, 10 HEPES, 1 EGTA, pH7.2. Here, we have used the Qube platform to develop an assay against the NR1/NR2A receptor, Qube experiments: All experiments were carried out using the Qube platform which performs 384 which is part of the N-methyl-D-aspartate (NMDA) family. For this assay we parallel and independent patch-clamp recordings on a disposable multi-hole QChip. The holding utilized stacked liquid addition which enabled us to assess the open state kinetics of the channel potential used for this assay was -70mV. and to investigate the effects of antagonists with multiple modes of actions. Analysis: Data analysis was performed using Qube Analyzer software and GraphPad Prism (7.0).

3 RESULTS 3.1 High success rates were achieved in the NMDA NR1/NR2A receptor assay 3.4 NMDA receptor currents were inhibited by competitive antagonist D-(-)-AP-5

(A) (B) (A) (B) 300 µM NMDA + Test [] V e h ic le D -(-)-A P -5 1 2 5 3 0 µ M D -A P -5 1 5 0 A n ta g o n is t A d d itio n 1 NMDA 1 0 0 3 .3 µ M D -A P -5 1 2 5 A n ta g o n is t A d d itio n 6

0 .1 2 µ M D -A P -5 1 0 0 IC 0.92 ±0.52 )

0.14 µM Glycine NR1/NR2A 7 5 ) 50

%

% (

0 .0 4 µ M D -A P -5 (

7 5

1.2 µM Glycine 5 0 n V e h ic le n

3.7 µM Glycine o

Mean Seal Resistance (MΩ ± SD) 81 ± 25 o

i i

t 5 0

t i

2 5 i

b

b i * i

h 2 5

Mean Current Amplitude (nA ± SD) 4.7 ± 1.8 h n

0 n

I I 11.1 µM Glycine 0 33.3 µM Glycine No. wells > 2 nA, >20 MΩ (Success rate) 374 (97%) -2 5 100 µM Glycine -2 5 M e a n  S .D ., n = 1 8 -2 0 -5 0 w e lls p e r c o n c e n tra tio n * Response to EC80 NMDA + EC80 Glycine

1 2 3 4 5 6 7 8 9 1 0 0 .0 1 0 .1 1 1 0 1 0 0 A g o n is t/A n ta g o n is t A p p lic a tio n [D (-)-A P -5 ] (µ M )

Figure 1. NMDA receptor assay example traces and success rates. (A) NMDA receptor current response to increasing Figure 4. D-(-)-AP-5 concentration response curve and inhibition response over consecutive antagonist concentrations of glycine in the presence of 300 µM NMDA. (B) Mean seal resistance, mean current amplitude and success applications. (A) Percent inhibition by increasing concentrations of D-(-)-AP-5 over consecutive agonist ± antagonist rates for the assay using minimum current and seal resistance criteria of >2 nA and >20 MΩ, respectively. applications. (B) D-(-)-AP-5 concentration response curve after 1 versus 6 agonist + antagonist applications.

3.2 Dual agonist concentration-response curves 3.5 NMDA receptor currents were inhibited by the use-dependent pore blocker

1 5 0 1 5 0 E C = 4 2 .1  6 .2 µ M V e h ic le K e ta m in e (B) ) (A) ) E C = 2 .7  0 .5 µ M 5 0 1 5 0

5 0 (A) 1 2 5 1 0 0 µ M K e ta m in e (B) A n ta g o n is t A d d itio n 1

%

%

(

(

1 0 µ M K e ta m in e A n ta g o n is t A d d itio n 6 t 1 2 5

t 1 0 0 n

n 1 0 0 1 0 0 e

e 1 µ M K e ta m in e

r r ) 1 0 0 IC 2.26 ±0.62

r 50 r

) 7 5 %

u 0 .4 µ M K e ta m in e

u

(

%

(

C 7 5

C

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5 0 5 0 V e h ic le

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r M e a n  S .D ., n = 1 4 M e a n  S .D ., n = 1 4 0

o o r e c o r d in g s p e r c o n c e n tr a tio n -2 5 r e c o r d in g s p e r c o n c e n tr a tio n N N M e a n  S .D ., n = 1 7 -2 0 -2 5 w e lls p e r c o n c e n tra tio n -5 0 0 .0 1 0 .1 1 1 0 1 0 0 0 .1 1 1 0 1 0 0 1 0 0 0 0 .1 1 1 0 1 0 0 1 0 0 0 [G ly c in e ] (µ M ) [N M D A ] (µ M ) 1 2 3 4 5 6 7 8 9 1 0 [K e ta m in e ] (µ M ) A g o n is t/A n ta g o n is t A p p lic a tio n Figure 2. Agonist concentration response curves. (A) Glycine concentration response curve in the presence of 300 µM Figure 5. Ketamine concentration response curve and inhibition response over consecutive antagonist applications. NMDA. (B) NMDA concentration response curve in the presence of 100 µM glycine. (A) Percent inhibition by increasing concentrations of ketamine over consecutive agonist ±antagonist applications. (B) Ketamine concentration response curve after 1 versus 6 agonist + antagonist applications. 3.3 The NMDA receptor assay was stable for over 40 min (18 liquid additions) 3.6 Compound inclusion in stacked addition washout improved antagonist potency

(A) (B)

Antagonist addition number

100 6 (IC50 0.34 ± 0.04)

5 (IC50 0.38 ± 0.06)

75 4 (IC50 0.46 ± 0.07)

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% (

50

n

o

i

t

i b i 25

h 0.3% DMSO

n I 0

Mean ± S.D, n = 3-10 wells -25 0.01 0.1 1 10 100 [Ketamine] (µM)

Figure 3. Final assay format for assessing use-dependent compounds. Schematic diagram demonstrating the Figure 6. Optimizing the stacked liquid addition protocol for assessing use-dependent compounds. (A) Schematic consecutive addition of 3 agonist periods, followed by 6 agonist ±antagonist additions, with alternating wash ± antagonist diagram demonstrating the inclusion of antagonist compound in the agonist washout step during the stacked liquid addition periods . Example traces from selected agonist periods and associated mean current amplitude and mean seal resistance protocol (B) Concentration response curve of ketamine with ketamine included in the agonist washout step during the values. stacked liquid addition. Dotted line

SUMMARY Inhibition of the NMDA NR1/NR2A receptor by D-(-)-AP-5 inhibition was stable over multiple 4 (3) consecutive antagonist applications. D-(-)-AP-5 IC50 values reflected literature values . Here we present a novel NMDA NR1/NR2A assay for the assessment of use-dependent compounds on the Sophion Qube 384 automated electrophysiology platform. The percentage inhibition by ketamine increased over consecutive antagonist applications and the concentration response curve after 6 antagonist applications was left-shifted compared to only 1 Initial recordings of the NMDA NR1/NR2A receptor using a multi-hole QChip demonstrated an average antagonist application. The inclusion of ketamine in the agonist washout during the stacked liquid of 4.7 nA of current with a mean seal resistance of 81 ± 25 MΩ, and success rate of 97%. Agonist addition caused a 7-fold increase in the potency of ketamine against the NMDA NR1/NR2A receptor. concentration response curves were produced for both glycine and NMDA at top concentrations of (1,2) their respective co-agonist, EC50 values for both agonists reflect that of literature values . In conclusion, we have produced a novel, highly robust assay with high success rates for testing use-dependent compounds against the NMDA NR1/NR2A receptor. The NMDA NR1/NR2A receptor assay was stable up to 18 consecutive liquid additions, with minimal variation in current amplitude and seal resistance from the 6th liquid addition to the 18th. Thank you to the cell culture team at Charles River for their time and expertise.

(1) Cummings, K.A. & Popescu G.K. (2015) J. Gen. Physiol (2) Fedorov, N. et. al.(2015) Biophys. J. *(IonWorks Barracuda assay) (3) Feng et. al. (2005) Neuropharmacology