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146 results for “Ca2+”
β-cell-specific deletion of Zfp148 improves nutrient-stimulated β-cell Ca2+ responses
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Genetic variation in mouse islet Ca2+ oscillations reveals novel regulators of islet function
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Regulation of Ca2+ leak and susceptibility to malignant hyperthermia and heat stroke
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OGD triggered Zn2+ rises and Ca2+ deregulation events in CA1 and CA3 hippocampal pyramidal neurons of MT-III and ZnT3 knockout mice.
<p>The posted data provide the control characterization of the oxygen glucose deprivation (OGD) triggered occurrences of cytosolic Zn<sup>2+</sup> rises and terminal Ca<sup>2+</sup> deregulation events in individual CA1 and CA3 pyramidal neurons in acute hippocampal slices of the MT-III knockout mice ( <strong>004649 - 129S7-Mt3<sup>tm1Rpa</sup>/J</strong>, Jackson Laboratory) and ZnT3 knockout mice ( <strong>005064 -</strong> <strong>B6;129-Slc30a3<sup>tm1Rpa</sup>/J</strong>, Jackson Laboratory).</p>
Impaired intracellular Ca2+ signaling contributes to age-related cerebral small vessel disease in Col4a1 mutant mice
<p>Humans and mice with mutations in <em>COL4A1</em> and <em>COL4A2</em> manifest hallmarks of cerebral small vessel disease (cSVD). Mice with a missense mutation in <em>Col4a1</em> at amino acid 1344 (<em>Col4a1<sup>+/G1344D</sup></em>) exhibit age-dependent intracerebral hemorrhage (ICH) and brain lesions. Here we report that this pathology was associated with the loss of myogenic vasoconstriction, an intrinsic vascular response essential for the autoregulation of cerebral blood flow. Electrophysiological analyses showed that the loss of myogenic constriction resulted from blunted pressure-induced smooth muscle cell (SMC) membrane depolarization. Further, we found that dysregulation of membrane potential was associated with impaired Ca<sup>2+</sup>-dependent activation of large-conductance Ca<sup>2+</sup>-activated K<sup>+</sup> (BK) and transient receptor potential melastatin 4 (TRPM4) cation channels linked to disruptions in sarcoplasmic reticulum (SR) Ca<sup>2+</sup> signaling. Treating <em>Col4a1<sup>+/G1344D</sup></em> mice with 4-phenylbutyrate, a compound that promotes the trafficking of misfolded proteins and alleviates SR stress, restored SR Ca<sup>2+</sup> signaling and BK and TRPM4 channel activity, prevented loss of myogenic tone, and reduced ICH. We conclude that alterations in SR Ca<sup>2+</sup> handling that impair membrane potential regulating ion channel activity result in dysregulation of SMC membrane potential and loss of myogenic tone contributing to age-related cSVD in <em>Col4a1<sup>+/G1344D</sup></em> mice.</p>
Source data for "Ca2+ channels couple spiking to mitochondrial metabolism in substantia nigra dopaminergic neurons"
<p><strong>Fig.1Aa-c.tif</strong></p> <p>2PLSM images (Fura-2 filled neuron) used for the reconstruction in Fig.1A</p> <p> </p> <p><strong>Fig1CDJ.xlsx</strong></p> <p>Numerical data for the charts in Fig. 1C, Fig.1D, Fig.1J</p> <p> </p> <p><strong>Fig.1F_GCEPIA1er.tif</strong></p> <p>Confocal image (green channel, G-CEPIA1er) for Fig. 1F</p> <p> </p> <p><strong>Fig.1F_TH.tif</strong></p> <p>Confocal image (blue channel, anti-TH immunostaining) for Fig. 1F</p> <p> </p> <p><strong>Fig.1G_GCEPIA1er.tif</strong></p> <p>Confocal image (green channel, G-CEPIA1er) for Fig. 1G</p> <p> </p> <p><strong>Fig.1G_CRT.tif</strong></p> <p>Confocal image (magenta channel, anti-CRT immunostaining) for Fig. 1G</p> <p> </p> <p><strong>Fig.1H_GCEPIA1er.tif</strong></p> <p>Confocal image (green channel, G-CEPIA1er) for Fig. 1H</p> <p> </p> <p><strong>Fig.1H_TH.tif</strong></p> <p>Confocal image (blue channel, anti-TH immunostaining) for Fig. 1H</p> <p> </p> <p><strong>Fig. 2B_mitoGCaMP6.tif</strong></p> <p>Confocal image (green channel, mito-GCaMP6) for Fig. 2B</p> <p> </p> <p><strong>Fig.2B_TH.tif</strong></p> <p>Confocal image (blue channel, anti-TH immunostaining) for Fig. 2B</p> <p> </p> <p><strong>Fig. 2C_mitoGCaMP6.tif</strong></p> <p>Confocal image (green channel, mito-GCaMP6) for Fig. 2C</p> <p> </p> <p><strong>Fig.2C_COXIV.tif</strong></p> <p>Confocal image (magenta channel, anti-COXIV immunostaining) for Fig. 2C</p> <p> </p> <p><strong>Fig. 2D_mitoGCaMP6.tif</strong></p> <p>Confocal image (green channel, mito-GCaMP6) for Fig. 2D</p> <p> </p> <p><strong>Fig.2D_TH.tif</strong></p> <p>Confocal image (blue channel, anti-TH immunostaining) for Fig. 2D</p> <p> </p> <p><strong>Fig.2FGJL.xlsx</strong></p> <p>Numerical data for the charts in Fig. 2F, Fig.2G, Fig.2J, Fig.2L</p> <p> </p> <p><strong>Fig.3BDE.xlsx</strong></p> <p>Numerical data for the charts in Fig. 3B, Fig.3D, Fig.3E</p> <p> </p> <p><strong>Fig.3C_Alexa.tif</strong></p> <p>MAX Projection of z-stack of 2PLSM images (magenta channel, Alexa 594 dye) used to generate Fig.3C top panel</p> <p> </p> <p><strong>Fig.3C_mitoGCaMP6.tif</strong></p> <p>MAX Projection of z-stack of 2PLSM images (green channel, mito-GCaMP6) used to generate Fig.3C top panel</p> <p> </p> <p><strong>Fig.3C_inset_dendritic_mitoGCaMP6.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.3C bottom left panel</p> <p> </p> <p><strong>Fig.3C_inset_soma_mitoGCaMP6.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.3C bottom right panel</p> <p> </p> <p><strong>Fig. 4A_PercevalHR.tif</strong></p> <p>Confocal image (green channel, PercevalHR) for Fig.4A</p> <p> </p> <p><strong>Fig.4A_TH.tif</strong></p> <p>Confocal image (blue channel, anti-TH immunostaining) for Fig.4A</p> <p> </p> <p><strong>Fig. 4B_PercevalHR.tif</strong></p> <p>Confocal image (green channel, PercevalHR) for Fig.4B</p> <p> </p> <p><strong>Fig.4B_TH.tif</strong></p> <p>Confocal image (blue channel, anti-TH immunostaining) for Fig.4B</p> <p> </p> <p><strong>Fig.4G.xlsx</strong></p> <p>Numerical data for the charts in Fig.4G</p> <p> </p> <p><strong>Fig.5BDFHI.xlsx</strong></p> <p>Numerical data for the charts in Fig.5B, Fig.5D, Fig.5F, Fig.5H, Fig.5I</p> <p> </p> <p><strong>Fig.6ADEFJKLN.xlsx</strong></p> <p>Numerical data for the charts in Fig.6A, Fig.6D, Fig.6E, Fig.6F, Fig.6J, Fig.6K, Fig.6L, Fig.6N</p> <p> </p> <p><strong>Fig.6H_mitoroGFP.tif</strong></p> <p>2PLSM image (green channel, mito-roGFP) for Fig.6H</p> <p> </p> <p><strong>Fig.6M_MCU-KO.tif</strong></p> <p>Combined EM micrographs used to generate Fig. 6M right side</p> <p> </p> <p><strong>Fig.6M_wildtype.tif</strong></p> <p>Combined EM micrographs used to generate Fig. 6M left side</p> <p> </p> <p><strong>Fig.7CEFG.xlsx</strong></p> <p>Numerical data for the charts in Fig.7C, Fig.7E, Fig.7F, Fig.7G</p> <p> </p> <p><strong>Fig.8CEHJK.xlsx</strong></p> <p>Numerical data for the charts in Fig.8C, Fig.8E, Fig.8H, Fig.8J, Fig.8K</p> <p> </p> <p><strong>Fig.S1A_bottom.tif</strong></p> <p>2PLSM image (green channel, G-CEPIA1er) for Fig.S1A bottom panel (low Ca2+)</p> <p> </p> <p><strong>Fig.S1A_top.tif</strong></p> <p>2PLSM image (green channel, G-CEPIA1er) for Fig.S1A top panel (high Ca2+)</p> <p> </p> <p><strong>Fig.S1B.xlsx</strong></p> <p>Numerical data for the chart in Fig.S1B</p> <p> </p> <p><strong>Fig.S2A_baseline.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2A middle panel (baseline)</p> <p> </p> <p><strong>Fig.S2A_MAX.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2A top panel (high Ca2+)</p> <p> </p> <p><strong>Fig.S2A_min.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2A bottom panel (low Ca2+)</p> <p> </p> <p><strong>Fig.S2C_baseline.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2C middle panel (baseline)</p> <p> </p> <p><strong>Fig.S2C_MAX.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2C top panel (high Ca2+)</p> <p> </p> <p><strong>Fig.S2C_min.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2C bottom panel (low Ca2+)</p> <p> </p> <p><strong>Fig.S2E_baseline.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2E bottom left panel (baseline)</p> <p> </p> <p><strong>Fig.S2E_end.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2E bottom right panel</p> <p> </p> <p><strong>Fig.S2E_peak.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2E bottom center panel</p> <p> </p> <p><strong>Fig.S2F.xlsx</strong></p> <p>Numerical data for the chart in Fig.S2F</p> <p> </p> <p><strong>Fig.S3ABC.xlsx</strong></p> <p>Numerical data for the charts in Fig.S3A, Fig.S3B, Fig.S3C</p> <p> </p> <p><strong>Fig.S4CD.xlsx</strong></p> <p>Numerical data for the charts in Fig.S4C, Fig.S4D</p> <p> </p> <p><strong>Fig.S5ABC.xlsx</strong></p> <p>Numerical data for the charts in Fig.S5A, Fig.S5B, Fig.S5C</p> <p> </p> <p><strong>Fig.S7A.tif</strong></p> <p>2PLSM image (green channel, GCaMP6) for Fig.S7A</p> <p> </p> <p><strong>Fig.S7CEFGH.xlsx</strong></p> <p>Numerical data for the charts in Fig.S7C, Fig.S7E, Fig.S7F, Fig.S7G, Fig.S7H</p> <p> </p> <p><strong>Fig.S8ABCDEF.xlsx</strong></p> <p>Numerical data for the charts in Fig.S8A, Fig.S8B, Fig.S8C, Fig.S8D, Fig.S8E, Fig.S8F</p> <p> </p> <p><strong>Fig.S9AHIJK.xlsx</strong></p> <p>Numerical data for the charts in Fig.S9A, Fig.S9H, Fig.S9I, Fig.S9J, Fig.S9K</p> <p> </p> <p><strong>Fig.S9B_wildtype_DLStr.tif</strong></p> <p>Confocal image of dorso-laterateral striatum in wildtype mouse (red channel, anti-TH immunostaining) for Fig.S9B</p> <p> </p> <p><strong>Fig.S9C_MCU-KO_DLStr.tif</strong></p> <p>Confocal image of dorso-laterateral striatum in MCU-KO mouse (red channel, anti-TH immunostaining) for Fig.S9C</p> <p> </p> <p><strong>Fig.S9D_wildtype_SN.tif</strong></p> <p>Confocal image of midbrain in wildtype mouse (red channel, anti-TH immunostaining) for Fig.S9D</p> <p> </p> <p><strong>Fig.S9E_MCU-KO_SN.tif</strong></p> <p>Confocal image of midbrain in MCU-KO mouse (red channel, anti-TH immunostaining) for Fig.S9E</p> <p> </p> <p><strong>Fig.S9F_wildtype_openfield.png</strong></p> <p>Open field path tracked for wildtype mouse for Fig.S9F</p> <p> </p> <p><strong>Fig.S9G_MCU-KO_openfield.png</strong></p> <p>Open field path tracked for MCU-KO mouse for Fig.S9G</p> <p> </p> <p><strong>Fig.S10A.xlsx</strong></p> <p>Numerical data for the charts in Fig.S10A</p>
MD simulation trajectory of a POPC/POPS (4:1) bilayer with 715mM CaCl2, Berger force field for lipids, scaled charges for Ca2+ and Cl-
<p>MD simulation trajectory of a POPC/POPS (4:1) bilayer with 715 mM CaCl2 (104 POPC, 24 POPS, 26 POPS, 4306 WAT, 72 Ca2+, 112 Cl-). Additional Ca2+ cations added to neutralize the negative charge of POPS (leading to total Ca2+ concentration of 919 mM). Berger force field for lipids, scaled charges employed for calcium and chloride ions. Gromacs 4.5.5, T=310K, 300 ns trajectories were calculated with the last 100 ns stored here.</p> <p>Used in (see therein also a detailed description of ion scaling):</p> <p>A. Melcrova, S. Pokorna, S. Pullanchery, M. Kohagen, P. Jurkiewicz, M. Hof, P. Jungwirth, P. S. Cremer, L. Cwiklik, The complex nature of calcium cation interactions with phospholipid bilayers<br> Scientific Reports 2016, 6, 38035.<br> DOI: 10.1038/srep38035</p>
MD simulation trajectory of a POPC bilayer with 716mM CaCl2, Berger force field for lipids, scaled charges for Ca2+ and Cl-
<p>MD simulation trajectory of a POPC bilayer with 716 mM CaCl2 (128 POPC, 26 POPS, 4308 WAT, 56 Ca2+, 112 Cl-). Berger force field for lipids, scaled charges employed for calcium and chloride ions. Gromacs 4.5.5, T=310K, 200 ns trajectories were calculated with the last 100 ns stored here.</p> <p>Used in (see therein also a detailed description of ion scaling):</p> <p>A. Melcrova, S. Pokorna, S. Pullanchery, M. Kohagen, P. Jurkiewicz, M. Hof, P. Jungwirth, P. S. Cremer, L. Cwiklik, The complex nature of calcium cation interactions with phospholipid bilayers<br> Scientific Reports 2016, 6, 38035.<br> DOI: 10.1038/srep38035</p>
MD simulation trajectory of a POPC/POPS (4:1) bilayer with 102mM CaCl2, Berger force field for lipids, scaled charges for Ca2+ and Cl-
<p>MD simulation trajectory of a POPC/POPS (4:1) bilayer with 102 mM CaCl2 (104 POPC, 24 POPS, 26 POPS, 4306 WAT, 24 Ca2+, 16 Cl-). Additional Ca2+ cations added to neutralize the negative charge of POPS (leading to total Ca2+ concentration of 306 mM). Berger force field for lipids, scaled charges employed for calcium and chloride ions. Gromacs 4.5.5, T=310K, 300 ns trajectories were calculated with the last 100 ns stored here.</p> <p>Used in (see therein also a detailed description of ion scaling):</p> <p>A. Melcrova, S. Pokorna, S. Pullanchery, M. Kohagen, P. Jurkiewicz, M. Hof, P. Jungwirth, P. S. Cremer, L. Cwiklik, The complex nature of calcium cation interactions with phospholipid bilayers<br> Scientific Reports 2016, 6, 38035.<br> DOI: 10.1038/srep38035</p>
MD simulation trajectory of a POPC bilayer with 100mM CaCl2, Berger force field for lipids, scaled charges for Ca2+ and Cl-
<p>MD simulation trajectory of a POPC bilayer with 100 mM CaCl2 (128 POPC, 26 POPS, 4452 WAT, 8 Ca2+, 16 Cl-). Berger force field for lipids, scaled charges employed for calcium and chloride ions. Gromacs 4.5.5, T=310K, 200 ns trajectories were calculated with the last 100 ns stored here).</p> <p>Used in (see therein also a detailed description of ion scaling):</p> <p>A. Melcrova, S. Pokorna, S. Pullanchery, M. Kohagen, P. Jurkiewicz, M. Hof, P. Jungwirth, P. S. Cremer, L. Cwiklik, The complex nature of calcium cation interactions with phospholipid bilayers<br> Scientific Reports 2016, 6, 38035.<br> DOI: 10.1038/srep38035</p>
General dataset of PNAS article " Ca2+ permeation through C-terminal cleaved, but not full-length human Pannexin1 hemichannels, mediates cell death"
<p>This repository contains an extended version of all real-time dye uptake evaluations, Ca2+ signal measurements, microscopic and gel images, and the corresponding statistical analyzes for each graph presented in the associated article.</p>
Ano4 as a Ca2+ dependent cation channel
<p>Figure 1, Figure 2, Figure 3, Figure 4, Figure 5 Supp (Supplemental information 1-7)</p> <p>2nd revision </p>
Chronic Ca2+ imaging of cortical neurons with long-term expression of GCaMP-X
<p><span>Dynamic Ca<sup>2+</sup> signals reflect acute changes in membrane excitability and also mediate signaling cascades in chronic processes. In both cases, chronic </span><span>Ca<sup>2+</sup></span><span> imaging is often desired but challenged by the cytotoxicity intrinsic to calmodulin (CaM)-based GCaMP, a series of genetically-encoded </span><span>Ca<sup>2+</sup></span><span> indicators that have been widely applied. Here, we demonstrate the performance of GCaMP-X in chronic </span><span>Ca<sup>2+</sup></span><span> imaging of cortical neurons, where GCaMP-X by design is to eliminate the unwanted interactions between the conventional GCaMP and endogenous (apo)CaM-binding proteins. By expressing in adult mice at high levels over an extended time frame, GCaMP-X showed less damage and improved performance in two-photon imaging of sensory (whisker-deflection) responses or spontaneous </span><span>Ca<sup>2+</sup></span><span> fluctuations, in comparison with GCaMP. Chronic </span><span>Ca<sup>2+</sup></span><span> imaging of one month or longer was conducted for cultured cortical neurons expressing GCaMP-X, unveiling that spontaneous/local </span><span>Ca<sup>2+</sup></span><span> transients progressively developed into autonomous/global </span><span>Ca<sup>2+</sup></span><span> oscillations. Along with the morphological indices of neurite length and soma size, the major metrics of oscillatory </span><span>Ca<sup>2+</sup></span><span>, including rate, amplitude and synchrony were also examined. Dysregulations of both neuritogenesis and </span><span>Ca<sup>2+</sup></span><span> oscillations became discernible around 2</span><span>–</span><span>3 weeks after virus injection or drug induction to express GCaMP in newborn or mature neurons, which were exacerbated by stronger or prolonged expression of GCaMP. In contrast, neurons expressing GCaMP-X were significantly less damaged or perturbed, altogether highlighting the unique importance of oscillatory </span><span>Ca<sup>2+</sup></span><span> to neural development and neuronal health. In summary, GCaMP-X provides a viable solution for </span><span>Ca<sup>2+</sup></span><span> imaging applications involving long-time and/or high-level expression of </span><span>Ca<sup>2+</sup></span><span> probes. </span></p>
Ca2+ imaging data for: A rigidity transition of MEC-2/Stomatin condensates controls neuronal mechanotransduction during touch sensing
<p>Calcium imaging data from Sanfeliu et al, NCB, 2023.</p> <p>Project contains fluorescence data to characterize the activity of the touch receptor neurons (TRNs) - which are mechanically activated upon touch – in the model organism <em>Caenorhabditis elegans</em>. The set of data includes wild-type animals as a reference and two different mutants to understand their role during touch sensation: MEC-2(R385H) and UNC-89 knock-out.</p> <p> </p>
Light-induced nanoscale deformation in azobenzene thin film triggers rapid intracellular Ca2+ increase via mechanosensitive cation channels
<p>This dataset contains raw data for a research article: material characterization data of Disperse Red 1 glass, calcium imaging data of Madin Darby Canine Kidney II epithelial cells that express the genetic calcium indicator jRCaMP1b and immunofluorescence stainings of Piezo1-channels and the actin cytoskeleton in the same cell line.</p> <p>Light induced material deformations were conducted with Zeiss LSM 780 confocal microscope with 488 nm wavelength excitation. The generated topographies were analyzed with atomic force microscopy (AFM) and digital holographic microscopy (DHM), and particle image velocimetry (PIV) was used to determine lateral deformations.</p> <p>Calcium imaging was conducted with the same microscope with 561 nm excitation and calcium signals were recorded in response to light induced material deformations (stimulation performed after 10 frames) (Zeiss C Apo 63x/1.20 objective, pixel size 200 nm, frame rate 1.23 sec/fame, channel1: fluorescence emission, channel2: brightfield). Apical stimulations were conducted with Nikon Eclipse FN1 utilizing micromanipulation (pixel size 200 nm, NIR Apo 40x 0.8W DIC N2 objective). Immunofluorescence stainings (in normal conditions (channel1: nuclei, channel2: Piezo1, channel3: jRCaMP1b, channel4: actin) or after cytochalainD treatment showing actin cytoskeleton depolymerization (channel1: nuclei, channel2: ZO1, channel3: jRCaMP1b, channel4: actin)) were imaged with Nikon A1R (SR Apo TIRF 100x/1.49 objective, pixel size 40 nm, Z-step to 99 nm, deconvolution with Huygens Essential)</p>
Data for: Mitochondrial Ca2+-coupled generation of reactive oxygen species, peroxynitrite formation, and endothelial dysfunction in Cantú syndrome
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Data from: Cytosolic S100A8/A9 promotes Ca2+ supply at LFA-1 adhesion clusters during neutrophil recruitment
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Mechanism of Ca2+ in regulating pupation defects of Bombyx mori after exposure to chlorantraniliprole
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Impaired intracellular Ca2+ signaling contributes to age-related cerebral small vessel disease in Col4a1 mutant mice
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Data from: Functional remodelling of perinuclear mitochondria alters nucleoplasmic Ca2+ signalling in heart failure
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