This document discusses the use of cell-based ion channel and cardiac safety assays in drug development. It notes that ion channels are responsible for electrical activity in the heart and that drugs blocking the hERG channel can cause dangerous arrhythmias by prolonging the QT interval. The document outlines how screening for effects on hERG and other cardiac ion channels in vitro and in silico, along with evaluating QT prolongation in vivo, allows assessment of torsadogenic risk to help identify potentially dangerous drugs. It also discusses using cardiomyocytes to confirm electrophysiology data and evaluate multi-channel effects to comprehensively assess proarrhythmic risk.
Atrial fibrillation (AF) is the most common clinical arrhythmia and is associated with significant morbidity and increased mortality. To date, the mechanisms responsible for the new onset of AF are only partially understood and even less is known of the processes that underlie the progression from paroxysmal to persistent AF and influence the response to treatment. In the absence of therapeutic approaches targeting the signalling pathways involved in the substrate that supports AF, current management is mainly focussed on relieving symptoms and preventing embolic stroke. There is therefore a pressing need to deepen our understanding of the pathogenesis of AF and identify mechanisms that could be targeted by novel therapeutic interventions. Our work has shown that atrial NOX2 activity is an independent predictor of post-operative AF in patients undergoing cardiac surgery and that short-term statin therapy or ex-vivo incubation inhibits myocardial NOX2 activityin humans and suppresses AF induction in a mouse model of myocardial specific NOX2 overexpression. The impact of atrial NOX2 inhibition by statins on post-operative AF and perioperative irreversible myocardial damage is now being tested in a large randomised clinical trial (STatinsIn Cardiac Surgery (STICS),
Atrial fibrillation (AF) is the most common clinical arrhythmia and is associated with significant morbidity and increased mortality. To date, the mechanisms responsible for the new onset of AF are only partially understood and even less is known of the processes that underlie the progression from paroxysmal to persistent AF and influence the response to treatment. In the absence of therapeutic approaches targeting the signalling pathways involved in the substrate that supports AF, current management is mainly focussed on relieving symptoms and preventing embolic stroke. There is therefore a pressing need to deepen our understanding of the pathogenesis of AF and identify mechanisms that could be targeted by novel therapeutic interventions. Our work has shown that atrial NOX2 activity is an independent predictor of post-operative AF in patients undergoing cardiac surgery and that short-term statin therapy or ex-vivo incubation inhibits myocardial NOX2 activityin humans and suppresses AF induction in a mouse model of myocardial specific NOX2 overexpression. The impact of atrial NOX2 inhibition by statins on post-operative AF and perioperative irreversible myocardial damage is now being tested in a large randomised clinical trial (STatinsIn Cardiac Surgery (STICS),
Vascular AT1 Receptors in Hypertension Emory Grand Rounds Slideshare Version....InsideScientific
Matthew Sparks, MD, explores the vascular-tubular crosstalk in the renin-angiotensin system that may play a key role in the regulation of pressure natriuresis.
A major pathway in hypertension pathogenesis involves direct activation of ANG II type 1 (AT1) receptors in the kidney, stimulating Na+ reabsorption. AT1 receptors in tubular epithelia control expression and stimulation of Na+ transporters and channels. Recently, Dr. Sparks’ team found reduced blood pressure and enhanced natriuresis in mice with cell-specific deletion of AT1 receptors in smooth muscle (SMKO mice). Although impaired vasoconstriction and preserved renal blood flow might contribute to exaggerated urinary Na+ excretion in SMKO mice, they considered whether alterations in Na+ transporter expression might also play a role.
Using proteomic analysis, they found that levels of Na+-K+-2Cl- cotransporter isoform 2 (NKCC2) and Na+/H+ exchanger isoform 3 (NHE3) are reduced at baseline in SMKO mice, accompanied by attenuated natriuretic and diuretic responses to furosemide. During ANG II hypertension, they found widespread remodeling of transporter expression in wild-type mice with significant increases in the levels of total NaCl cotransporter, phosphorylated NaCl cotransporter (Ser71), and phosphorylated NKCC2, along with the cleaved, activated forms of the α- and γ-epithelial Na+ channel. However, the increases in α- and γ-epithelial Na+ channel with ANG II were substantially attenuated in SMKO mice. This was accompanied by a reduced natriuretic response to amiloride. Thus, enhanced urinary Na+ excretion observed after cell-specific deletion of AT1 receptors from smooth muscle cells is associated with altered Na+ transporter abundance across epithelia in multiple nephron segments. These findings suggest a system of vascular-epithelial in the kidney, modulating the expression of Na+ transporters and contributing to the regulation of pressure natriuresis.
The generation of an action potential in heart muscle
cells depends on the opening and closing of ionselective channels in the plasma membrane.
The patch-clamp technique enables the investigation of
drug interactions with ion-channel .
The Isolated cells are ready for experiment.
Glass micro-pipette - a tip opening of about 1 μm, is
placed onto the cell
A nuclear magnetic resonance-based method for accurate assessment of glomerul...ChristianeProllMBA
An oral presentation held by numares at the ASN KidneyWeek 2018 about a new method of GFR testing to assess kidney function using metabolic constellations and NMR diagnostics.
Vascular AT1 Receptors in Hypertension Emory Grand Rounds Slideshare Version....InsideScientific
Matthew Sparks, MD, explores the vascular-tubular crosstalk in the renin-angiotensin system that may play a key role in the regulation of pressure natriuresis.
A major pathway in hypertension pathogenesis involves direct activation of ANG II type 1 (AT1) receptors in the kidney, stimulating Na+ reabsorption. AT1 receptors in tubular epithelia control expression and stimulation of Na+ transporters and channels. Recently, Dr. Sparks’ team found reduced blood pressure and enhanced natriuresis in mice with cell-specific deletion of AT1 receptors in smooth muscle (SMKO mice). Although impaired vasoconstriction and preserved renal blood flow might contribute to exaggerated urinary Na+ excretion in SMKO mice, they considered whether alterations in Na+ transporter expression might also play a role.
Using proteomic analysis, they found that levels of Na+-K+-2Cl- cotransporter isoform 2 (NKCC2) and Na+/H+ exchanger isoform 3 (NHE3) are reduced at baseline in SMKO mice, accompanied by attenuated natriuretic and diuretic responses to furosemide. During ANG II hypertension, they found widespread remodeling of transporter expression in wild-type mice with significant increases in the levels of total NaCl cotransporter, phosphorylated NaCl cotransporter (Ser71), and phosphorylated NKCC2, along with the cleaved, activated forms of the α- and γ-epithelial Na+ channel. However, the increases in α- and γ-epithelial Na+ channel with ANG II were substantially attenuated in SMKO mice. This was accompanied by a reduced natriuretic response to amiloride. Thus, enhanced urinary Na+ excretion observed after cell-specific deletion of AT1 receptors from smooth muscle cells is associated with altered Na+ transporter abundance across epithelia in multiple nephron segments. These findings suggest a system of vascular-epithelial in the kidney, modulating the expression of Na+ transporters and contributing to the regulation of pressure natriuresis.
The generation of an action potential in heart muscle
cells depends on the opening and closing of ionselective channels in the plasma membrane.
The patch-clamp technique enables the investigation of
drug interactions with ion-channel .
The Isolated cells are ready for experiment.
Glass micro-pipette - a tip opening of about 1 μm, is
placed onto the cell
A nuclear magnetic resonance-based method for accurate assessment of glomerul...ChristianeProllMBA
An oral presentation held by numares at the ASN KidneyWeek 2018 about a new method of GFR testing to assess kidney function using metabolic constellations and NMR diagnostics.
Ohio State's ASH Review 2017 - Myeloproliferative DisordersOSUCCC - James
Katherine Walsh, MD
Assistant Professor of Clinical Internal Medicine
The Ohio State University Comprehensive Cancer Center -
Arthur G. James Cancer Hospital and Richard J. Solove Research Institute
Ohio State's ASH Review 2017 - Blood and Marrow TransplantationOSUCCC - James
Basem M. William, MD, MRCP(UK), FACP
Assistant Professor of Internal Medicine
Blood and Marrow Transplant Program
The Ohio State University Comprehensive Cancer Center -
Arthur G. James Cancer Hospital and Richard J. Solove Research Institute
Ohio State's ASH Review 2017 - Benign HematologyOSUCCC - James
Spero R. Cataland, MD
Professor of Clinical Internal Medicine
The Ohio State University Comprehensive Cancer Center -
Arthur G. James Cancer Hospital and Richard J. Solove Research Institute
Ohio State's ASH Review 2017 - Update in MyelomaOSUCCC - James
Don M. Benson Jr., MD, PhD, FACP
Associate Professor of Medicine
Head of Translational Research
Division of Hematology
The Ohio State University Comprehensive Cancer Center -
Arthur G. James Cancer Hospital and Richard J. Solove Research Institute
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Cell-Based Ion Channel and Cardiac Safety Assays
1. CELL-BASED ION
CHANNEL AND CARDIAC
SAFETY ASSAYS
Drug Development “Boot Camp”: Practical Aspects of
Positioning Your Research
EVERY STEP OF THE WAY
EVERY STEP OF THE WAY
2. THE ECG IS THE ELECTRICAL ACTIVITY MEASURED FROM AN
ENTIRE HEART
2 EVERY STEP OF THE WAY
3. THE ACTION POTENTIAL IS THE ELECTRICAL ACTIVITY
MEASURED FROM AN INDIVIDUAL CARDIOMYOCYTE
3 EVERY STEP OF THE WAY
4. ION CHANNELS ARE RESPONSIBLE FOR THE ELECTRICAL
ACTIVITY OF THE HEART
4 EVERY STEP OF THE WAY
Ca2+
hERG
KvLQT1/minK
Kv4.3
Nav1.5
Cav1.2
Kir1.2
5. ION CHANNELS ARE RESPONSIBLE FOR THE ELECTRICAL
ACTIVITY OF THE HEART
5 EVERY STEP OF THE WAY
hERG
6. DRUG-INDUCED TORSADE DE POINTES (TDP)
6 EVERY STEP OF THE WAY
Normal sinus rhythm
Torsade de Pointes
Ferimini and Fossa, Nature Reviews: Drug Discovery,
Volume 2, 2003
7. TDP INCIDENCE TOO LOW TO DETECT IN CLINICAL TRIALS
TERFENADINE: TDP IN 1/25,000 PRESCRIPTIONS
7 EVERY STEP OF THE WAY
Normal sinus rhythm
Torsade de Pointes
Ferimini and Fossa, Nature Reviews: Drug Discovery,
Volume 2, 2003
8. 8 EVERY STEP OF THE WAY
hERG
Prolonged QT Interval
DRUGS THAT BLOCK HERG AND PROLONGS THE QT
INTERVAL MAY CAUSE TDP
9. GUIDANCE FOR INDUSTRY ICHS7B NONCLINICAL EVALUATION OF THE
POTENTIAL FOR DELAYED VENTRICULAR REPOLARIZATION (QT INTERVAL
PROLONGATION)
9 EVERY STEP OF THE WAY
Evaluation of torsadogenic risk determined by
effects on only 2 surrogates of TdP:
1. In Vivo QT Interval Prolongation
2. hERG Inhibition
10. THIS STRATEGY HAS PROVEN TO BE SUCCESSFUL .
10 EVERY STEP OF THE WAY
Drug Class hERG
Blocker, QT
Prolonger
Date
Withdrawn
Terfenadine Antihistamine √ 1998
Sertindole Antipsychotic √ 1998
Astemizole Antihistamine √ 1999
Grepafloxacin Antibiotic √ 1999
Cisapride Prokinetic √ 2000
Droperidol Antipsychotic √ 2001
Levomethadyl Opiate Dependence √ 2003
11. THIS NEW STRATEGY HAS PROVEN TO BE SUCCESSFUL
11
0.01 0.1 1 10 100 1000 10000
Concentration (µM)
Verapamil
hERG IC50
Cav1.2 IC50
Nav1.5 IC50
KvLQT1/minK IC50
Kir2.1 Est. IC50
Plasma Level
Ca2+
• Blocks hERG
• Not Very Potent Inhibitor of KvLQT1/mink or Kir2.1
12. THIS NEW STRATEGY HAS PROVEN TO BE SUCCESSFUL
12
Ca2+
Na+
0.01 0.1 1 10 100 1000 10000
Concentration (µM)
Verapamil
hERG IC50
Cav1.2 IC50
Nav1.5 IC50
KvLQT1/minK IC50
Kir2.1 Est. IC50
Plasma Level
• Blocks hERG
• Not Very Potent Inhibitor of KvLQT1/mink or Kir2.1
• Blocks Cav1.2
14. THIS NEW STRATEGY HAS PROVEN TO BE SUCCESSFUL
14
Action
Potentials
Field
Potentials
Stem Cell Derived
Cardiomyocytes
↓ Action Potential
Duration
↓ Field Potential
Duration
15. THIS NEW STRATEGY HAS PROVEN TO BE SUCCESSFUL
15 EVERY STEP OF THE WAY
• Package Insert = No TdP Risk
• Does Not Prolong The QT Interval
Blocks hERG
and Cav1.2
Ca2+
0.01 0.1 1 10 100 1000 10000
Concentration (µM)
Verapamil
hERG IC50
Cav1.2 IC50
Nav1.5 IC50
KvLQT1/minK IC50
Kir2.1 Est. IC50
Plasma Level
Vicente J, Johannesen L et al. Comprehensive T wave morphology assessment in a randomized clinical study of dofetilide, quinidine, ranolazine, and verapamil. J Am Heart Assoc. 2015 Apr 13;4(4).
Blocks hERG
and Cav1.2
16. COMPREHENSIVE IN VITRO PROARRHYTHMIA ASSAY (CIPA)
16 EVERY STEP OF THE WAY
Confirmation of
Electrophysiology Data
using Cardiomyocytes
Function Effects on
Multiple Cardiac
Currents
In Silico Models
Ca2+
Proarrhythmia
Assessment
22. MECHANISM OF ACTION
22 EVERY STEP OF THE WAY
Cardiovascular
Nav1.5
X
Kir3.1/3.4
XKir6.2/SUR2A
X
23. CHANNEL PANELS
23 EVERY STEP OF THE WAY
hERG (Kv11.1)
Cav1.2/β2/α2δ1
Cardiovascular
Kir6.2/SUR2A
Nav1.5
Kir3.1/3.4
24. CHANNEL PANELS
24 EVERY STEP OF THE WAY
hERG (Kv11.1)
Kv4.3
KvLQT1/mink (Kv7.1)
Kv1.5
Cav3.2
HCN2 and HCN4
Kir2.1, Kir3.1/3.4
Nav1.5
Kir6.2/SUR2A
Cav1.2/β2/α2δ1
BK, IK and SK3, ENaC
TRPC1, TRPC4, TRPC6,
TRPM4, TRPV1 and TRPV4NCX1, nAChRα7 and P2X4
Cardiovascular
25. CHANNEL PANELS
25 EVERY STEP OF THE WAY
hERG (Kv11.1)
Kv1.3, Kv1.4,
Kv4.2/KChiP2.2, KCNQ2/3, KCNQ2/4
Cav2.1/β4/α2δ1,
Cav2.2/β3/α2δ1 and Cav3.2
NR1/NR2B, HCN1
nAChRα7, GABA (α3β3γ2)
P2X1, P2X2, P2X3, P2X4 and P2X7
Nav1.1, Nav1.2, Nav1.3, Nav1.7 and
Nav1.8/β3
TRPA1, TRPC4, TRPM4, TRPM8, TRPV1 and
TRPV4
NMDA (NR1/NR2A
BK and IK, ASIC1a, ASIC2a and ASIC3
Kv4.3
KvLQT1/mink (Kv7.1)
Kv1.5
Cav3.2
HCN2 and HCN4
Kir2.1, Kir3.1/3.4
Nav1.5
Kir6.2/SUR2A
Cav1.2/β2/α2δ1
BK, IK and SK3, ENaC
TRPC1, TRPC4, TRPC6,
TRPM4, TRPV1 and TRPV4NCX1, nAChRα7 and P2X4
Cardiovascular
Pain/Inflammation
26. CHANNEL PANELS
26 EVERY STEP OF THE WAY
hERG (Kv11.1)
Kv1.3, Kv1.4,
Kv4.2/KChiP2.2, KCNQ2/3, KCNQ2/4
Cav2.1/β4/α2δ1,
Cav2.2/β3/α2δ1 and Cav3.2
NR1/NR2B, HCN1
nAChRα7, GABA (α3β3γ2)
P2X1, P2X2, P2X3, P2X4 and P2X7
Nav1.1, Nav1.2, Nav1.3, Nav1.7 and
Nav1.8/β3
TRPA1, TRPC4, TRPM4, TRPM8, TRPV1 and
TRPV4
NMDA (NR1/NR2A
BK and IK, ASIC1a, ASIC2a and ASIC3
CLC-2,
Cav2.1/β4/α2δ1 and Cav3.2
HCN1 and HCN2
GABAA (α1β2γ2, α2β2γ2, α5β2γ2
NR1/NR2A, NR1/NR2B)
BK, IK, SK2 and SK3
Kv1.1, Kv4.2/KChiP2.2
KCNQ2/3, KCNQ2/4, KCNQ3/5
Nav1.1, Nav1.2, Nav1.3 and Nav1.6
Kv4.3
KvLQT1/mink (Kv7.1)
Kv1.5
Cav3.2
HCN2 and HCN4
Kir2.1, Kir3.1/3.4
Nav1.5
Kir6.2/SUR2A
Cav1.2/β2/α2δ1
BK, IK and SK3, ENaC
TRPC1, TRPC4, TRPC6,
TRPM4, TRPV1 and TRPV4NCX1, nAChRα7 and P2X4
Seizure/Convulsion
Cardiovascular
Pain/Inflammation
27. CHANNEL PANELS
27 EVERY STEP OF THE WAY
hERG (Kv11.1)
Kv1.3, Kv1.4,
Kv4.2/KChiP2.2, KCNQ2/3, KCNQ2/4
Cav2.1/β4/α2δ1,
Cav2.2/β3/α2δ1 and Cav3.2
NR1/NR2B, HCN1
nAChRα7, GABA (α3β3γ2)
P2X1, P2X2, P2X3, P2X4 and P2X7
Nav1.1, Nav1.2, Nav1.3, Nav1.7 and
Nav1.8/β3
TRPA1, TRPC4, TRPM4, TRPM8, TRPV1 and
TRPV4
NMDA (NR1/NR2A
BK and IK, ASIC1a, ASIC2a and ASIC3
CLC-2,
Cav2.1/β4/α2δ1 and Cav3.2
HCN1 and HCN2
GABAA (α1β2γ2, α2β2γ2, α5β2γ2
NR1/NR2A, NR1/NR2B)
BK, IK, SK2 and SK3
Kv1.1, Kv4.2/KChiP2.2
KCNQ2/3, KCNQ2/4, KCNQ3/5
Nav1.1, Nav1.2, Nav1.3 and Nav1.6
Kv4.3
KvLQT1/mink (Kv7.1)
Kv1.5
Cav3.2
HCN2 and HCN4
Kir2.1, Kir3.1/3.4
Nav1.5
Kir6.2/SUR2A
Cav1.2/β2/α2δ1
BK, IK and SK3, ENaC
TRPC1, TRPC4, TRPC6,
TRPM4, TRPV1 and TRPV4NCX1, nAChRα7 and P2X4
Seizure/Convulsion
Cardiovascular
Pain/Inflammation
Psychiatric Disorder Cav1.3/β3/α2δ
(GABA (α1β3γ2, α2β3γ2, α3β3γ2,
α4β3γ2 and α5β3γ2),
nACHR (α4/β2, α7, α3β4α5,
α6/3β2β3)
NMDA (NR1/NR2A,
NR1/NR2B, NR1/NR2C
and NR1/NR2D))
KCNQ2/3 and KCNQ3/5
SK1, SK2 and SK3
28. ACKNOWLEDGEMENTS
28 EVERY STEP OF THE WAY
Jessica Brimecombe, PhD
Luke Armstrong, PhD
Carlos Obejero-Paz, MD, PhD
Andrew Bruening–Wright, PhD
Yuri-Kuryshev, PhD
Bob Ostroski, BS
Kerri Uffman, BS