Summary The human ether-à-go-go related potassium channel (hERG, Kv11.1) is a voltage-dependent channel known for its role in repolarizing the cardiac action potential. hERG alteration by mutation or pharmacological inhibition produces Long QT syndrome and the lethal cardiac arrhythmia torsade de pointes. We have determined the molecular structure of hERG to 3.8 Å using cryo-electron microscopy. In this structure the voltage sensors adopt a depolarized conformation and the pore is open. The central cavity has an atypically small central volume surrounded by four deep hydrophobic pockets, which may explain hERG’s unusual sensitivity to many drugs. A subtle structural feature of the hERG selectivity filter might correlate with its fast inactivation rate, which is key to hERG’s role in cardiac action potential repolarization.
GIRK channels control spike frequency in atrial pacemaker cells and inhibitory potentials in neurons. By directly responding to G proteins, PIP2 and Na+, GIRK is under the control of multiple signaling pathways. In this study, the mammalian GIRK2 channel has been purified and reconstituted in planar lipid membranes and effects of Gα, Gβγ, PIP2 and Na+ analyzed. Gβγ and PIP2 must be present simultaneously to activate GIRK2. Na+ is not essential but modulates the effect of Gβγ and PIP2 over physiological concentrations. Gαi1(GTPγS) has no effect, whereas Gαi1(GDP) closes the channel through removal of Gβγ. In the presence of Gβγ, GIRK2 opens as a function of PIP2 mole fraction with Hill coefficient 2.5 and an affinity that poises GIRK2 to respond to natural variations of PIP2 concentration. The dual requirement for Gβγ and PIP2 can help to explain why GIRK2 is activated by Gi/o, but not Gq coupled GPCRs.DOI: http://dx.doi.org/10.7554/eLife.03671.001
K+ channels, a superfamily of ∼80 members, control cell excitability, ion homeostasis, and many forms of cell signaling. Their malfunctions cause numerous diseases including neuronal disorders, cardiac arrhythmia, diabetes, and asthma. Here we present a novel liposome flux assay (LFA) that is applicable to most K+ channels. It is robust, low cost, and high throughput. Using LFA, we performed small molecule screens on three different K+ channels and identified new activators and inhibitors for biological research on channel function and for medicinal development. We further engineered a hERG (human ether-à-go-go-related gene) channel, which, when used in LFA, provides a highly sensitive (zero false negatives on 50 hERG-sensitive drugs) and highly specific (zero false positives on 50 hERG-insensitive drugs), low-cost hERG safety assay.
G protein gated inward rectifier K+ (GIRK) channels open and thereby silence cellular electrical activity when inhibitory G protein coupled receptors (GPCRs) are stimulated. Here we describe an assay to measure neuronal GIRK2 activity as a function of membrane-anchored G protein concentration. Using this assay we show that four Gβγ subunits bind cooperatively to open GIRK2, and that intracellular Na+ – which enters neurons during action potentials – further amplifies opening mostly by increasing Gβγ affinity. A Na+ amplification function is characterized and used to estimate the concentration of Gβγ subunits that appear in the membrane of mouse dopamine neurons when GABAB receptors are stimulated. We conclude that GIRK2, through its dual responsiveness to Gβγ and Na+, mediates a form of neuronal inhibition that is amplifiable in the setting of excess electrical activity.DOI: http://dx.doi.org/10.7554/eLife.15751.001
TRAAK is a membrane tension-activated K+ channel that has been associated through behavioral studies to mechanical nociception. We used specific monoclonal antibodies in mice to show that TRAAK is localized exclusively to nodes of Ranvier, the action potential propagating elements of myelinated nerve fibers. Approximately 80 percent of myelinated nerve fibers throughout the central and peripheral nervous system contain TRAAK in what is likely an all-nodes or no-nodes per axon fashion. TRAAK is not observed at the axon initial segment where action potentials are first generated. We used polyclonal antibodies, the TRAAK inhibitor RU2 and node clamp amplifiers to demonstrate the presence and functional properties of TRAAK in rat nerve fibers. TRAAK contributes to the ‘leak’ K+ current in mammalian nerve fiber conduction by hyperpolarizing the resting membrane potential, thereby increasing Na+ channel availability for action potential propagation. We speculate on why nodes of Ranvier contain a mechanosensitive K+ channel.
G protein gated inward rectifier potassium (GIRK) channels are gated by direct binding of G protein beta-gamma subunits (Gβγ), signaling lipids, and intracellular Na+. In cardiac pacemaker cells, hetero-tetramer GIRK1/4 channels and homo-tetramer GIRK4 channels play a central role in parasympathetic slowing of heart rate. It is known that the Na+ binding site of the GIRK1 subunit is defective, but the functional difference between GIRK1/4 hetero-tetramers and GIRK4 homo-tetramers remains unclear. Here, using purified proteins and the lipid bilayer system, we characterize Gβγ and Na+ regulation of GIRK1/4 hetero-tetramers and GIRK4 homo-tetramers. We find in GIRK4 homo-tetramers that Na+ binding increases Gβγ affinity and thereby increases the GIRK4 responsiveness to G protein stimulation. GIRK1/4 hetero-tetramers are not activated by Na+, but rather are in a permanent state of high responsiveness to Gβγ, suggesting that the GIRK1 subunit functions like a GIRK4 subunit with Na+ permanently bound.DOI: http://dx.doi.org/10.7554/eLife.15750.001
Cellular senescence is a mechanism used by mitotic cells to prevent uncontrolled cell division. As senescent cells persist in tissues, they cause local inflammation and are harmful to surrounding cells, contributing to aging. Generally, neurodegenerative diseases, such as Parkinson's, are disorders of aging. The contribution of cellular senescence to neurodegeneration is still unclear. SATB1 is a DNA binding protein associated with Parkinson's disease. We report that SATB1 prevents cellular senescence in post-mitotic dopaminergic neurons. Loss of SATB1 causes activation of a cellular senescence transcriptional program in dopamine neurons, both in human stem cell-derived dopaminergic neurons and in mice. We observed phenotypes which are central to cellular senescence in SATB1 knockout dopamine neurons in vitro and in vivo. Moreover, we found that SATB1 directly represses expression of the pro-senescence factor, p21, in dopaminergic neurons. Our data implicate senescence of dopamine neurons as a contributing factor to the pathology of Parkinson's disease. hESC shows normal appearance. Scale bar: 200 µm. (D) Immunolabeling of DA precursor markers in WT and SATB1 KO hESC derived DA neurons after 16 days of differentiation reveals no difference in marker expression. (E) Depiction of spontaneous action potentials of WT and SATB1 KO DA neurons at different time points show that both genotypes differentiate into mature DA neurons between day 35 and 40. Scale bar: 20 mV, 2 s. (F) DA neurons at day 40 show significant differences in maintenance of response to positive current injections. Scale bar: 20 mV, 200 ms. (G) Longitudinal comparison of cell survival of WT vs. SATB1 KO DA neurons revealed a significant reduction in SATB1 KO survival between day 30 and 40, reaching a plateau at ~50%. Data are represented as mean ± SEM. (H) Quantification of neurite morphology and complexity in WT and SATB1 KO DA neurons. Data are represented as mean ± SEM. (I) Triple immunolabeling of cortical shows that both WT as well as SATB1 KO neurons express the essential markers for cortical neurons. Scale bar: 50 µm. (J) SATB1 KO cortical neurons show no significant change in survival during differentiation. Data are represented as mean ± SEM. (K) Quantification of neurite morphology and complexity in WT and SATB1 KO CTX neurons. (L)Representative western blot and quantification depicts that WT DA neurons express significantly higher levels of SATB1 than WT cortical neurons, suggesting a higher demand in DA neurons. Data are represented as mean ± SEM. See also Figure S1.
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