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Published in final edited form as: ACS Chem Biol. 2019 Feb 8;14(3):390–396. doi: 10.1021/acschembio.8b00978

New Molecular Scaffolds for Fluorescent Voltage Indicators

Steven C Boggess , Shivaani S Gandhi , Brian A Siemons §,#, Nathaniel Huebsch §,#,, Kevin E Healy §,#, Evan W Miller ‡,†,┴,*
PMCID: PMC6499379  NIHMSID: NIHMS1008405  PMID: 30735344

Abstract

The ability to non-invasively monitor membrane potential dynamics in excitable cells like neurons and cardiomyocytes promises to revolutionize our understanding of the physiology and pathology of the brain and heart. Here, we report the design, synthesis, and application of a new class of fluorescent voltage indicator that makes use of a fluorene-based molecular wire as a voltage sensing domain to provide fast and sensitive measurements of membrane potential in both mammalian neurons and human-derived cardiomyocytes. We show that the best of the new probes, fluorene VoltageFluor 2 (fVF 2) readily reports on action potentials in mammalian neurons, detects perturbations to cardiac action potential waveform in human induced pluripotent stem cell (hiPSC)-derived cardiomyocytes, shows a substantial decrease in phototoxicity compared to existing molecular wire-based indicators, and can monitor cardiac action potentials for extended periods of time. Together, our results demonstrate the generalizability of a molecular wire approach to voltage sensing and highlights the utility of fVF 2 for interrogating membrane potential dynamics.

Graphical Abstract

graphic file with name nihms-1008405-f0001.jpg


Optical methods to measure biochemical and biophysical events in living cells provide a powerful approach to monitor cellular physiology in a non-invasive and high-throughput manner. The success of such light-based ventures depends critically on the ability to design and construct molecules that change their optical properties – for example, color, fluorescence intensity, or lifetime – in response to changes in the cellular environment.1 Fluorescence microscopy is one of the most commonly used modalities because it is operationally simple, instrumentation is widely available, and an ever-growing library of small molecule fluorescent indicators exists to probe the dynamics of a host of cellular analytes, properties, and structures.25 Of particular interest is the plasma membrane. Changes in the electrochemical potential across the lipid bilayer profoundly shapes cellular physiology. Excitable cells employ a consortium of ion channels both to maintain tight control over their membrane potential (Vm) and to initiate and propagate rapid changes in Vm. Rapid changes in Vm such as an action potential (AP), drive the unique physiology of excitable cells like neurons and cardiomyocytes. In neurons, APs evoke the release of neurotransmitter into the synaptic cleft, and, in heart tissue, waves of APs coordinate contraction and maintain regular rhythm. Disruption of the frequency, timing, and/or shape of APs are linked to serious human diseases ranging from epilepsy to long QT syndrome. Because of the importance of Vm to both health and disease, robust methods to optically monitor membrane potential remain a critical complement to more traditional approaches. The gold-standard for measuring Vm and APs in live cells is electrophysiology: direct determination of Vm through the physical interaction between the cell of interest and an electrode. Electrophysiology is highly invasive, low throughput, and difficult to interpret in samples like cardiac tissue or cardiomyocyte monolayers, where electrical coupling between cells confounds single-cell measurement. Optical recording of membrane potential using voltage-sensitive fluorescent indicators provides an attractive alternative to probe Vm and AP dynamics in multiple cells, in monolayers, or 3D tissue.6

Recently, we initiated a program to develop a new class of voltage-sensitive fluorescent indicators that utilize photoinduced electron transfer (PeT) as a rapid trigger to sense changes in Vm.78 These small molecule voltage-sensitive fluorophores, or VoltageFluors (VF dyes), combine a xanthene-based dye as a fluorescent reporter and a conjugated molecular wire that localizes the indicator to the cell membrane and facilitates PeT from an electron-rich aniline donor to the fluorophore within the low dielectric environment of the lipid bilayer. Phenylene-vinylene (PV)-based conjugated molecular wires (Scheme 1, VF2.1.Cl),910 are attractive because of their exceptionally low electron transfer attenuation values in donor-bridge-acceptor (DBA) systems (β = 0.04 Å−1).1112 Within a PV wire framework, voltage sensitivity can be improved by altering the redox potentials of the fluorophore electron acceptor and the aniline electron donor.13 Additionally, fluorophores such as rhodamine9 and silicon-rhodamine10 can be substituted for fluorescein, after some adjustment to the identity of the aniline donor. To date, we have not explored alterations to the identity of the molecular wire component of PeT-based voltage indicators. Now, we present a new class of PeT-based voltage sensitive fluorescent indicators that use a 9,9-dimethyl-9H-fluorene monomer in place of the canonical 1,4-divinylbenzene moiety (Scheme 1). In other DBA scaffolds, 2,7-oligofluorene bridges effectively facilitate electron transfer across large distances and demonstrate low β values (0.09 Å−1) comparable to values for PV wires (0.04 Å−1).14 Because β values depend both on the identity of the wire and the donor/acceptor pair,1516 we wanted to explore fluorene molecular wires as a platform for optical voltage sensing, demonstrating the generalizability of a PeT-based approach to voltage sensing. We now report the design, synthesis, characterization, and application of a new series of fluorine-based VoltageFluors, or fVF dyes.

Scheme 1.

Scheme 1.

Synthesis of fluorene VoltageFluor dyes (fVF dyes).

The synthesis of fluorene-based voltage indicators starts with Suzuki-Mirayura cross-coupling of bromo-iodo-fluorene 117 with either boronic ester 818 or phenylboronic acid, providing monomeric fluorenes 2 and 3 as bright yellow solids

(Scheme 1). Attachment to a sulfonated dichlorofluorescein was achieved by Pd-catalyzed cross-coupling of a pinacol boronic ester with the terminal aryl bromide to provide 4 and 5. Suzuki-Mirayura cross-coupling yielded voltage indicator 6 (fVF 1) and indicator 7 (fVF 0), which lacks an aniline donor (Scheme 1). For the wires with electron rich donors (12, 13; Scheme 2), transformation of the nitro group to an aniline was performed with tin(II) chloride to yield wires 14 and 15. This was followed by reductive amination of formaldehyde with NaCNBH3 to provide alkylated wires 16 and 17. These were prepared in a similar method to Scheme 1 to yield electron-rich voltage indicators 20 (fVF 2) and 21 (fVF 3).

Scheme 2.

Scheme 2.

Synthesis of electron-rich fluorene VoltageFluor dyes

New fVF dyes have a λmax centered around 520 nm and a second major absorption band around 340 nm arising from the fluorene molecular wire (Fig. 1, Fig. S1, Table 1). Each fVF dye has a maximum emission around 535 nm, indicating little ground state interaction between the fluorene-based molecular wire and xanthene chromophore. fVF 1, 2 and 3 have lower fluorescence quantum yields (Φfl, 0.05 to 0.19) than control indicator fVF 0 (0.77, Table 1).

Figure 1.

Figure 1.

Characterization of fluorene VoltageFluor 2 (fVF 2). a) Live cell fluorescence microscopy image of fVF 2 in HEK cells. Scale bar is 10 μm. b) Normalized absorption and emission spectra of fVF 2. Spectra were acquired in PBS (pH 7.2) +0.1% SDS. For emission scan, excitation was provided at 485 nm. c) Voltage sensitivity of fVF 2 in patch-clamped HEK cells. d) Plot of ΔF/F vs. membrane potential (in mV) for fVF 2. Red line is the line of best fit. Error bars are standard error of the mean for 8 independent determinations. e) Live-cell, wide-field fluorescence images of rat hippocampal neurons stained with 500 nM fVF 2. Scale bar is 20 μm. f) Representative ΔF/F plot of evoked neuronal activity of a single cell recorded optically with fVF 2.

Table 1.

Properties of fluorene VoltageFluor dyes (fVF dyes)

Entry[a] R1 R2 Absorbance [nm][a] Emission [nm][a] QY[a] % ΔF/F[b] SNR [b]
fVF 0 (7) -H -H 519 535 0.77 −0.3 ± 0.03 1.9:1
fVF 1 (6) -N(Me)2 -H 519 534 0.05 4.7 ± 0.5 22:1
fVF 2 (20) -N(Me)2 -H 520 535 0.07 10.5 ± 0.8 39:1
fVF 3 (21) -N(Me)2 -OMe 520 535 0.19 12.2 ± 1.6 13:1
[a]

Measured in PBS + 0.1% SDS (pH = 7.2).

[b]

per 100 mV.

Recorded in HEK 293T cells at 0.5 kHz optical sampling rate.

To measure the voltage sensitivity of these indicators, we used whole-cell voltage-clamp electrophysiology in tandem with epifluoresence microscopy. By applying voltage steps ranging from +100 mV to −100 mV in 20 mV increments to HEK293T cells stained with fluorene voltage indicators, we observe that indicators fVF 1–3 possess moderate sensitivity to changes in Vm. Similar to PV-based molecular wire voltage indicators, fVF 1–3 become brighter in response to depolarizing (more positive) membrane potentials. The two most sensitive compounds, fVF 2 and 3, have sensitivities of 11 and 13% ΔF/F per 100 mV, respectively; however, fVF 2 has an overall signal that was much brighter in cells, resulting in better SNR (Fig. 1, Fig. S2, Table 1). fVF 1 is also very bright in cells but has low SNR due to a low sensitivity (5% ΔF/F). Somewhat surprisingly, the electron-deficient compound fVF 0 (7, Scheme 1) exhibits a small amount of voltage sensitivity, −0.3%

ΔF/F per 100 mV, becoming less fluorescent in response to depolarizing potentials (Table 1, Fig. S2, Table 1), the opposite the opposite of every molecular wire indicator synthesized in our laboratory. We chose to characterize fVF 2 in subsequent experiments due to its brightness and superior SNR.

fVF 2 readily detects fast changes in membrane potential in mammalian neurons. In cultured rat hippocampal neurons, fVF 2 gives clear membrane staining (Fig. 1e) and faithfully records evoked action potentials with an average ΔF/F of 5.1% and SNR of 21:1 (N = 54 spikes, Fig. 1f, S4). fVF 2 clearly resolves spontaneous activity in cultured rat hippocampal neurons (Fig. S5). Despite the lower nominal voltage sensitivity of fVF 2 relative to a first generation VoltageFluor dye (VF2.1.Cl – 27% ΔF/F per 100 mV in HEK cells;7 10% ΔF/F and SNR of 43:1 in evoked action potentials, n = 54 spikes, Fig. S4), the improved brightness of fVF 2 relative to VF2.1.Cl (1.2x brighter in neurons, Table S1) makes it useful for recording action potentials in neurons. When we evaluate fVF 2 against an electrochromic VSD with a similar voltage sensitivity, di-4-ANEPPS, we observe evoked spikes with a ΔF/F of −1% and SNR of 15:1. However, a 5-fold higher concentration was needed to make these recordings (Fig. S4, SI Table 1). In addition to reporting on neuronal activity, we detect no changes to neuronal membrane properties or action potential kinetics when comparing the electrophysiological parameters of neurons with or without the presence of fVF2 (Fig. S6, Table S2).

We sought to use fVF 2 for optical measurements of cardiac AP waveforms to provide a holistic assessment of drug cardiotoxicity in vitro, a major goal of the Comprehensive in vitro Proarrythmic Assay (CiPA) initiative.1921 We cultured hiPSC-CM monolayers and tested the ability of fVF 2 to report cardiac AP waveforms in spontaneously beating monolayers.2125 fVF 2 clearly stains the sarcolemma of hiPSC-CMs and faithfully reports ventricular-like AP waveforms, showing a large increase in fluorescence just before contraction of the monolayer (Fig. 2a-e). Using methods previously described,26 we calculate action potential duration (APD) for each AP waveform in the fluorescence trace at 70, 50, and 10% of the maximum depolarization (APD30, APD50, APD90, respectively).2628 To correct for APD variation arising from difference in beat rate from spontaneously beating monolayers, we used Fridericia’s formula to provide a beat-rate corrected APD (cAPD).2829 From our optical measurements, we calculated cAPD90 values from 500–700 ms in spontaneously beating monolayers after 14 days in culture, consistent with previous reports in hiPSC-CMs. 27, 30

Figure 2.

Figure 2.

Fluorene VoltageFluor 2 (fVF 2) reliably reports on cardiac action potential (cAP) dynamics in human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs). a) Brightfield. b) Membrane localization of fVF 2 (1 μM) in hiPSC-CM monolayers. c) Hoescht 33342 nuclear stain. d) Merge of membrane and nuclear stains. Scale bar is 20 μm. e) Representative image used to acquire functional AP data. Scale bar is 10 μm. f-i) Representative fluorescence traces acquired using 1 μM fVF 2. f) Baseline measurement of spontaneously contracting monolayer. Treatment with cisapride (300 nM) results in g) prolonged APs, h) shorter and more frequent APs, and i) early after depolarizations (EADs). j) Overlay of single APs from f-h to highlight observed waveform changes from cisapride treatment. The baseline trace in black shows a normal ventricular-like shape, the red trace depicts an extended AP after treatment (from panel g), and the blue trace depicts a shortened AP from a tachycardia-like phenotype (from panel h).

To demonstrate the utility of fVF 2 for parsing the pharmacological effects of drug treatment on cardiomyocytes, we treated hiPSC cardiomyocytes with cisapride. Cisapride, formally a useful gastroprokinetic agent, was withdrawn from the US market in 2000 due to its connection to torsades de pointes (TdP) induced by acquired long QT-syndrome caused by blockage of Kv11.1.31 Cisapride is also one of 12 training and calibration compounds used in the CiPA initiative.20, 32 Observation of cardiomyocyte monolayers treated acutely with cisapride results in several phenotypic alterations to cardiac AP, readily detectable by fVF 2. At a concentration of 300 nM, we saw three different manifestations of the effect of prolonged cAPD caused by IKr blockade:3334 an extended phase 3 (Fig. 2g), a tachycardia-like train of drastically shortened APs (Fig. 2h), and the appearance of early-after depolarizations (EADs) (Fig. 2i). Kv11.1/hERG channel blockade results in action potential prolongation (Fig. 2g) which has been connected to a higher risk of TdP and higher arrhythmogenic potential. The rapid, subthreshold spiking activity may be analogous to tachycardia,35 which was accompanied by a loss in monolayer automaticity (Fig. 2h). The appearance of EADs (Fig. 2i) corresponds to the observed cAPD prolongation, and significantly increase the risk of arrhythmia and TdP.

Monitoring the effect of potentially cardiotoxic drug relies on the ability to make stable, long-term recordings from cardiomyocytes. When using voltage-sensitive fluorescent indicators, this often requires careful titration of illumination intensity and indicator concentration to minimize phototoxicity.3537 Therefore, we were pleased that fVF 2 displays lower phototoxicity in hiPSC-CMs relative to VF2.1.Cl, which itself requires an order of magnitude lower light power than di-4-ANEPPS, thereby avoiding phototoxic effects.37 Others note phototoxic effects of di-4-ANEPPS can begin within seconds of illumination.38 We stained hiPSC-CM monolayers with either fVF 2 or VF2.1.Cl and continuously illuminated for 10 minutes and optically recorded membrane potential dynamics every minute. Despite the initial photobleach of fVF 2 (Fig. 3a, Fig. S2i), the shape of recorded action potentials (Fig. 3c), SNR (Fig. 3e), and action potential duration (Fig. 3f,g) remain relatively constant (Fig. 3c and 3d, S7). In sharp contrast, however, VF2.1.Cl had a dramatic, detrimental impact on cardiomyocyte function. Although VF2.1.Cl initially has a high SNR compared to fVF2 (Fig. 3b,e), SNR drops quickly after the first minute of illumination (Fig. 3b,e), and both action potential shape (Fig. 3d) and duration (Fig. 3f,g) undergo substantial and significant changes, as early as 2 minutes into illumination (Fig. 3b,d,f,g). Even after 4 minutes, only sub-threshold activity was recorded with VF2.1.Cl and required an automated analysis script to detect these events (Fig. S7h). After 5 minutes, monolayers imaged with VF2.1.Cl cease to contract (Fig. 3d and S7). However, monolayers imaged with fVF2 continue to beat even after 10 minutes of continuous illumination (Fig. 3c and S7). Increasing the illumination intensity from 9 to 29 mW/mm2 when making recordings with fVF 2 did not alter cAPD (Fig. S7l). Toxicity requires both dye and illumination, as regions of the coverslip not exposed to illumination light beat properly, in the case of fVF2 (Fig. S8). For VF2.1.Cl, we observe a small increase in cAPD values, which was not statistically significant (Fig. S8). Together, these results suggest that fVF 2 has lower phototoxicity than VF2.1.Cl and can be used to measure activity in cardiomyocyte monolayers for prolonged time periods. Previous reports note slight differences in the structure of transmembrane probes can explain differences in phototoxicity.38 Experiments are underway to probe the precise molecular mechanisms underlying the faster photobleaching but reduced phototoxicity of fVF 2 compared to VF2.1.Cl.

Figure 3. fVF 2 displays low phototoxicity in cardiomyocyte monolayers.

Figure 3.

Fluorescence intensity vs time for a) fVF 2 and b) VF2.1.Cl in monolayers of hiSPC-CMs. The raw fluorescence intensity from an entire field of view over an entire 10 s recording session is plotted vs. the total illumination time (in minutes). Individual action potential (AP) traces for c) fVF 2 and d) VF2.1.Cl are indicated by red stars in panels (a) and (b). Plot of mean e) signal-to-noise ratio (SNR ) f) cAPD30, and g) cAPD50 as a function of total illumination time for fVF 2 (black) and VF2.1.Cl (blue). For panels e-g, mean values are determined from n = 3 independent trials, and error bars are ± standard error of the mean. Statistical tests are two-tailed, unpaired t-test for each cAPD at the indicated time vs. t = 0. ** = p<0.005, *** = p<0.001, **** = p<0.0001.

To assess the ability of fVF 2 to measure changes to cardiac electrophysiology in responds to chronic drug treatment, we calculated IC50 values for cisapride using in-well dose escalation with optical recording of cAPD. Measurements were taken after incubation with increasing cisapride concentrations in each well from 0.1 to 300 nM. Our optical measurements show an increase in cAPD90 (IC50 = 10.6 nM, 14 days in culture) up to 300 nM of cisapride (Fig. 4e,f), which is in the range of IC50 values previously measured for cisapride in other in vitro studies (SI Table 3).32 We also observe an increase in cAPD50 up to 100 nM, but a decrease at higher concentrations of cisapride. Similarly, measured cAPD30 seems to have little variation from DMSO vehicle control; however, a decrease is detected at higher concentrations of cisapride (Fig. 4e,f). Together, these results demonstrate the ability to fVF 2 to enable the rapid assembly of dose-response data in hiSPCs using an all-optical approach.

Figure 4.

Figure 4.

Fluorene VoltageFluor 2 (fVF 2) reveals changes to cardiac action potentials (AP) upon treatment with cisapride. (a) Action potential duration (APD) values are calculated from the maximum derivative of the depolarization to the repolarization at 70, 50, and 10% of the maximum depolarization value, are corrected for beat-rate, and reported as cAPD30, cAPD50, and cAPD90 values, respectively. Treatment of monolayers cultured for 14 days with doses of cisapride from 0.1 to 300 nM cisapride (red) results in (b) little change in the cAPD30, (c) a moderate increase in the cAPD50, and (d) a clear increase in cAPD90. Black points indicate DMSO-treated control samples. Plots indicate mean values ± standard error of the mean for n = 4 independent experiments.

In summary, we present the design, synthesis and application of a new class of molecular wire-based fluorescent indicators. We show, for the first time, that fluorene-based molecular wires provide a platform for PeT-based voltage sensing. In general, these fluorene-based indicators have lower nominal voltage sensitivities (ΔF/F per 100 mV of 5 to 13% in HEK cells, compared to approximately 27% for VF2.1.Cl) to changes in membrane potential, but are brighter, than their phenylene-vinylene counterparts. fVF 2 exhibits adequate sensitivity and excellent brightness in cells for reporting AP waveforms in neurons and cardiomyocytes with high SNR. More importantly, fVF 2 displays substantially reduced phototoxicity in cardiomyocytes relative to VF2.1.Cl, allowing for prolonged, continuous measurement of cardiomyocyte activity. Fluorene-based molecular wires may provide an attractive, general solution to the phototoxicity often associated with voltage-sensitive fluorescent indicators.

Supplementary Material

Supporting Info document

ACKNOWLEDGMENT

We gratefully acknowledge financial support of this research from the following organizations: National Institutes of Health, R35GM119855 (EWM), T32GM066698 (SCB), R01HL130417 (KEH); and the California Institute for Regenerative Medicine (DISC2-100090 to KEH).

Footnotes

ASSOCIATED CONTENT

Supporting Information.

Experimental details, synthetic procedures, imaging conditions, cell culture and differentiation protocols, and supporting figures. This material is available free of charge via the Internet at http://pubs.acs.org.

REFERENCES

  • 1.Tsien RY, Building and Breeding Molecules to Spy on Cells and Tumors. FEBS Lett 2005, 579, 927–932. [DOI] [PubMed] [Google Scholar]
  • 2.Yun S-W; Kang N-Y; Park S-J; Ha H-H; Kim YK; Lee J-S; Chang Y-T, Diversity Oriented Fluorescence Library Approach (Dofla) for Live Cell Imaging Probe Development. Acc Chem Res 2014, 47, 1277–1286. [DOI] [PubMed] [Google Scholar]
  • 3.Lavis LD, Teaching Old Dyes New Tricks: Biological Probes Built from Fluoresceins and Rhodamines. Annu Rev Biochem 2017, 86, 825–843. [DOI] [PubMed] [Google Scholar]
  • 4.Klymchenko AS, Solvatochromic and Fluorogenic Dyes as Environment-Sensitive Probes: Design and Biological Applications. Acc Chem Res 2017, 50, 366–375. [DOI] [PubMed] [Google Scholar]
  • 5.Dal Molin M; Verolet Q; Colom A; Letrun R; Derivery E; Gonzalez-Gaitan M; Vauthey E; Roux A; Sakai N; Matile S, Fluorescent Flippers for Mechanosensitive Membrane Probes. J Am Chem Soc 2015, 137, 568–571. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Peterka DS; Takahashi H; Yuste R, Imaging Voltage in Neurons. Neuron 2011, 69, 9–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Miller EW; Lin JY; Frady EP; Steinbach PA; Kristan WB; Tsien RY, Optically Monitoring Voltage in Neurons by Photo-Induced Electron Transfer through Molecular Wires. Proc Natl Acad Sci USA 2012, 109, 2114–2119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Miller EW, Small Molecule Fluorescent Voltage Indicators for Studying Membrane Potential. Curr Opin Chem Biol 2016, 33, 74–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Deal PE; Kulkarni RU; Al-Abdullatif SH; Miller EW, Isomerically Pure Tetramethylrhodamine Voltage Reporters. J Am Chem Soc 2016, 138, 9085–9088. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Huang YL; Walker AS; Miller EW, A Photostable Silicon Rhodamine Platform for Optical Voltage Sensing. J Am Chem Soc 2015, 137, 10767–10776. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Davis WB; Svec WA; Ratner MA; Wasielewski MR, Molecular-Wire Behaviour in P-Phenylenevinylene Oligomers. Nature 1998, 396, 60–63. [Google Scholar]
  • 12.Pourtois G; Beljonne D; Cornil J; Ratner M. a.; Brédas JL, Photoinduced Electron-Transfer Processes Along Molecular Wires Based on Phenylenevinylene Oligomers: A Quantum-Chemical Insight. J Am Chem Soc 2002, 124, 4436–4447. [DOI] [PubMed] [Google Scholar]
  • 13.Woodford CR; Frady EP; Smith RS; Morey B; Canzi G; Palida SF; Araneda RC; Kristan WB; Kubiak CP; Miller EW; Tsien RY, Improved Pet Molecules for Optically Sensing Voltage in Neurons. J Am Chem Soc 2015, 137, 1817–1824. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Goldsmith RH; Sinks LE; Kelley RF; Betzen LJ; Liu WH; Weiss EA; Ratner MA; Wasielewski MR, Wire-Like Charge Transport at near Constant Bridge Energy through Fluorene Oligomers. Proc Natl Acad Sci USA 2005, 102, 3540–3545. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Eng MP; Albinsson B, Non-Exponential Distance Dependence of Bridge-Mediated Electronic Coupling. Angew Chem Int Ed 2006, 45, 5626–5629. [DOI] [PubMed] [Google Scholar]
  • 16.Albinsson B; Martensson J, Long-Range Electron and Excitation Energy Transfer in Donor-Bridge-Acceptor Systems. J Photoch Photobio C 2008, 9, 138–155. [DOI] [PubMed] [Google Scholar]
  • 17.Nacci C; Viertel A; Hecht S; Grill L, Covalent Assembly and Characterization of Nonsymmetrical Single-Molecule Nodes. Angew Chem Int Ed Engl 2016, 55, 13724–13728. [DOI] [PubMed] [Google Scholar]
  • 18.Kleeberg C; Dang L; Lin Z; Marder TB, A Facile Route to Aryl Boronates: Room-Temperature, Copper-Catalyzed Borylation of Aryl Halides with Alkoxy Diboron Reagents. Angew Chem Int Ed 2009, 48, 5350–5354. [DOI] [PubMed] [Google Scholar]
  • 19.Sager PT; Gintant G; Turner JR; Pettit S; Stockbridge N, Rechanneling the Cardiac Proarrhythmia Safety Paradigm: A Meeting Report from the Cardiac Safety Research Consortium. Am Heart J 2014, 167, 292–300. [DOI] [PubMed] [Google Scholar]
  • 20.Colatsky T; Fermini B; Gintant G; Pierson JB; Sager P; Sekino Y; Strauss DG; Stockbridge N, The Comprehensive in Vitro Proarrhythmia Assay (Cipa) Initiative — Update on Progress. J Pharmacol Tox Met 2016, 81, 15–20. [DOI] [PubMed] [Google Scholar]
  • 21.Mathur A; Loskill P; Shao K; Huebsch N; Hong S; Marcus SG; Marks N; Mandegar M; Conklin BR; Lee LP; Healy KE, Human Ipsc-Based Cardiac Microphysiological System for Drug Screening Applications. Sci Rep 2015, 5, 8883. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Lian XJ; Hsiao C; Wilson G; Zhu KX; Hazeltine LB; Azarin SM; Raval KK; Zhang JH; Kamp TJ; Palecek SP, Robust Cardiomyocyte Differentiation from Human Pluripotent Stem Cells Via Temporal Modulation of Canonical Wnt Signaling. Proc Natl Acad Sci USA 2012, 109, E1848–E1857. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Ma Z; Wang J; Loskill P; Huebsch N; Koo S; Svedlund FL; Marks NC; Hua EW; Grigoropoulos CP; Conklin BR; Healy KE, Self-Organizing Human Cardiac Microchambers Mediated by Geometric Confinement. Nat Commun 2015, 6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Huebsch N; Loskill P; Deveshwar N; Spencer CI; Judge LM; Mandegar MA; Fox CB; Mohamed TMA; Ma Z; Mathur A; Sheehan AM; Truong A; Saxton M; Yoo J; Srivastava D; Desai TA; So PL; Healy KE; Conklin BR, Miniaturized Ips-Cell-Derived Cardiac Muscles for Physiologically Relevant Drug Response Analyses. Sci Rep 2016, 6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Ma Z; Huebsch N; Koo S; Mandegar MA; Siemons B; Boggess S; Conklin BR; Grigoropoulos CP; Healy KE, Contractile Deficits in Engineered Cardiac Microtissues as a Result of Mybpc3 Deficiency and Mechanical Overload. Nat Biomed Eng 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Laughner JI; Ng FS; Sulkin MS; Arthur RM; Efimov IR, Processing and Analysis of Cardiac Optical Mapping Data Obtained with Potentiometric Dyes. Am J Phys Heart Circ Physiol 2012, 303, H753–765. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Dempsey GT; Chaudhary KW; Atwater N; Nguyen C; Brown BS; McNeish JD; Cohen AE; Kralj JM, Cardiotoxicity Screening with Simultaneous Optogenetic Pacing, Voltage Imaging and Calcium Imaging. J Pharmacol Tox Met 2016, 81, 240–250. [DOI] [PubMed] [Google Scholar]
  • 28.Lu HR; Hortigon-Vinagre MP; Zamora V; Kopljar I; De Bondt A; Gallacher DJ; Smith G, Application of Optical Action Potentials in Human Induced Pluripotent Stem Cells-Derived Cardiomyocytes to Predict Drug-Induced Cardiac Arrhythmias. J Pharmacol Tox Met 2017, 87, 53–67. [DOI] [PubMed] [Google Scholar]
  • 29.Luo S; Michler K; Johnston P; Macfarlane PW, A Comparison of Commonly Used Qt Correction Formulae: The Effect of Heart Rate on the Qtc of Normal Ecgs. J Electrocardiol 2004, 37 Suppl, 81–90. [DOI] [PubMed] [Google Scholar]
  • 30.Itzhaki I; Maizels L; Huber I; Zwi-Dantsis L; Caspi O; Winterstern A; Feldman O; Gepstein A; Arbel G; Hammerman H; Boulos M; Gepstein L, Modelling the Long Qt Syndrome with Induced Pluripotent Stem Cells. Nature 2011, 471, 225–229. [DOI] [PubMed] [Google Scholar]
  • 31.Caspi O; Itzhaki I; Kehat I; Gepstein A; Arbel G; Huber I; Satin J; Gepstein L, In Vitro Electrophysiological Drug Testing Using Human Embryonic Stem Cell Derived Cardiomyocytes. Stem Cells and Development 2009, 18, 161–172. [DOI] [PubMed] [Google Scholar]
  • 32.Crumb WJ; Vicente J; Johannesen L; Strauss DG, An Evaluation of 30 Clinical Drugs against the Comprehensive in Vitro Proarrhythmia Assay (Cipa) Proposed Ion Channel Panel. J Pharmacol Tox Met 2016, 81, 251–262. [DOI] [PubMed] [Google Scholar]
  • 33.Redfern WS; Carlsson L; Davis AS; Lynch WG; MacKenzie I; Palethorpe S; Siegl PKS; Strang I; Sullivan AT; Wallis R; Camm AJ; Hammond TG, Relationships between Preclinical Cardiac Electrophysiology, Clinical Qt Interval Prolongation and Torsade De Pointes for a Broad Range of Drugs: Evidence for a Provisional Safety Margin in Drug Development. Cardiovascular Research 2003, 58, 32–45. [DOI] [PubMed] [Google Scholar]
  • 34.Harris K; Aylott M; Cui Y; Louttit JB; McMahon NC; Sridhar A, Comparison of Electrophysiological Data from Human-Induced Pluripotent Stem Cell-Derived Cardiomyocytes to Functional Preclinical Safety Assays. Toxicological Sciences 2013, 134, 412–426. [DOI] [PubMed] [Google Scholar]
  • 35.McKeithan WL; Savchenko A; Yu MS; Cerignoli F; Bruyneel AAN; Price JH; Colas AR; Miller EW; Cashman JR; Mercola M, An Automated Platform for Assessment of Congenital and Drug-Induced Arrhythmia with Hipsc-Derived Cardiomyocytes. Front Physiol 2017, 8, 766. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Bedut S; Seminatore-Nole C; Lamamy V; Caignard S; Boutin JA; Nosjean O; Stephan J-P; Coge F, High-Throughput Drug Profiling with Voltage- and Calcium-Sensitive Fluorescent Probes in Human Ipsc-Derived Cardiomyocytes. Am J Phys Heart Circ Physiol 2016, 311, H44–H53. [DOI] [PubMed] [Google Scholar]
  • 37.McPheeters MT; Wang YT; Werdich AA; Jenkins MW; Laurita KR, An Infrared Optical Pacing System for Screening Cardiac Electrophysiology in Human Cardiomyocytes. PLOS ONE 2017, 12, e0183761. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Rohr S; Salzberg BM, Multiple Site Optical Recording of Transmembrane Voltage (Msortv) in Patterned Growth Heart Cell Cultures: Assessing Electrical Behavior, with Microsecond Resolution, on a Cellular and Subcellular Scale. Biophys J 1994, 67, 1301–1315. [DOI] [PMC free article] [PubMed] [Google Scholar]

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