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Dataset results
26 results for “calmodulin”
Can calmodulin bind to lipids of the cytosolic leaflet of plasma membranes?
<p>Can calmodulin bind to lipids of the cytosolic leaflet of plasma membranes?:</p> <p><br>This data set contains all the experimental raw data, analysis and source files for the final figures reported in the manuscript: "Can calmodulin bind to lipids of the cytosolic leaflet of plasma membranes?". It is divided into five (1-5) zipped folders, named as the technique used to obtain the data. Each of them, where applicable, consists of three different subfolders (raw data, analysed data, final graph). Read below for more details. </p> <p>1) ConfocalMicroscopy</p> <p> 1a) Raw_Data: the raw images are reported as .dat and .tif formats, divided into folders (according to date first yymmdd, and within the same day according to composition). Each folder contains a .txt file reporting the experimental details </p> <p> 1b) GUVs_Statistics<br> - GUVs_Statistics.txt explains how we generated the bar plot shown in Fig. 1E</p> <p> 1c) Final_Graph<br> - Figure_1B_1D.png is the figure representing figure 1B and 1D<br> - Figure1E_%ofGUVswithCaMAdsorbptions.csv is the source file x-y of the bar plot shown in figure 1E (% of GUVs which showed adsorption of CaM over the total amount of measured GUVs) <br> - Where_To_Find_Representative_Images.txt states the folders where the raw images chosen for figure 1 can be found </p> <p>2) FCS<br> <br> 2a) Raw_Data: <br> - 1_points: .ptu files <br> - 2_points: .ht3 files <br> - Raw_Data_Description.docx which compositions and conditions correspond to which point in the two data sets<br> <br> 2b) Final_Graphs:<br> - Figure_2A.xlsx contains the x-y source file for figure 2A</p> <p> 2c) Analysis: <br> - FCS_Fits.xlsx outcome of the global fitting procedure described in the .docx below (each group of points represents a certain composition and calcium concentration, read the Raw_Data_Description.docx in the FCS > Raw_Data)<br> - Notes_for_FCS_Analysis.docx contains a brief description of the analysis of the autocorrelation curves</p> <p>3) GPLaurdan<br> <br> 3a) Raw Data: all the spectra are stored in folders named by date (yymmdd_lipidcomposition_Laurdan) and are in both .FS and .txt formats </p> <p> 3b) GP calculations: contains all the .xlsx files calculating the GP values from the raw emission and excitation spectra</p> <p> 3c) Final_Graphs<br> - Data_Processing_For_Fig_2D.csv contains the data processing from the GP values calculated from the spectra to the DeltaGP (GP with- GP without CaM) reported in fig. 2D<br> - Figure_2C_2D.xlsx contains the x-y source file for the figure 2C and 2D</p> <p>4) LiveCellsImaging </p> <p> 3a) Intensity_Protrusions_vs_Cell_Body: <br> - contains all the .xlsx files calculating the intensity of the various images. File renamed by date (yymmdd) <br> - All data in all excel sheets gathered in another Excel file to create a final graph </p> <p> 3b) Final_Graphs<br> - Figure_S2B.xlsx contains the x-y source file for the figure S2B</p> <p>5) LiveCellImaging_Raw_Data: it contains some of the images, which are given in .tif. They are divided by date (yymmdd) and each contains subfolders renamed by sample name, concentration of ionomycin. Within the subfolders, the images are divided into folders distinguishing the data acquired before and after the ionomycin treatment and the incubation time.</p> <p> </p> <p>6) 211124_BioCev_Imaging_1 folder has the .jpg files of the time laps, these are shown in fig 1A and S2.</p> <p>7) 211124_BioCev_Imaging_2 and 8) 211124_BioCev_Imaging_3 contain the images of HeLa cells expressing EGFP-CaM after treatment with ionomycin 200 nM (A1) and 1 uM (A2), respectively. </p> <p><br>9) SPR</p> <p> 9a) Raw Data: <br> - SPR_Raw_Data.xlsx x/y exported sensorgrams <br> - the .jpg files of the software are also reported and named by lipid composition</p> <p> 9b) Final_Graph: <br> - Fig.2B.xlsx contains the x-y source file for the figure 2B</p> <p> 9c) Analysis<br> - SPR_Analysis.xlsx: excel file containing step-by-step (sheet by sheet) how we processed the raw data to obtain the final figure (details explained in the .docx below)<br> - Analysis of SPR data_notes.docx: read me for detailed explanation</p>
Can calmodulin bind to lipids of the cytosolic leaflet of plasma membranes? - additional data
<p>CaM_Data_Repository_Revision:<br>This folder contains the experimental raw data, analysis and source for the final figures reported in the paper after revision (Open Biology): "Can calmodulin bind to lipids of the cytosolic leaflet of plasma membranes?". It is divided into five (1-3) folders, named as the technique used to obtain the data. Each of them, where applicable, consists of three different subfolders (raw data, analysed data, final graph). Read below for more details. </p> <p>1) ConfocalMicroscopy</p> <p> 1a) Raw_Data: the raw images are reported as .dat and .bmp formats, divided into folders (according date first yymmdd, and within the same day according to composition). Each folder contains a .txt file reporting the experimental details </p> <p> 1b) Final_Graph<br> - Figure_1E.csv is the new source file x-y of the bar plot shown in figure 1E (% of GUVs which showed adsorption of CaM over the total amount of measured GUVs) in the revised version of the manuscript<br> <br>2) DLS</p> <p> 2a) Raw Data: <br> - DLS_lipid 0.4mM_1.7uM CaM_10mM CaCl2 contains all the data in .dts and in .xlsx formats for the experiments described in the Experimental details.txt file stored in the same folder <br> - DLS_lipid 0.4mM_10mM CaCl2_1.7uM CaM contains all the data in .dts and in .xlsx formats for the experiments described in the Experimental details.txt file stored in the same folder </p> <p> 2b) Final_Graph: <br> - Fig.S4B.xlsx contains the x-y source file for the figure S4B<br> - Fig.S5A.xlsx contains the x-y source file for the figure S5A </p> <p>3) Z-potential</p> <p> 3a) Raw Data: <br> - ZetaPotential_lipid 0.4mM_1.7uM CaM_10mM CaCl2 contains all the data in .dts and in .xlsx formats for the experiments described in the Experimental details.txt file stored in the same folder <br> - ZetaPotential_lipid 0.4mM_10mM CaCl2_1.7uM CaM contains all the data in .dts and in .xlsx formats for the experiments described in the Experimental details.txt file stored in the same folder </p> <p> 3b) Final_Graph: <br> - Fig.S4C.xlsx contains the x-y source file for the figure S4C<br> - Fig.S5B.xlsx contains the x-y source file for the figure S5B </p> <p> </p> <p> </p>
Data from: NaV1.6 dysregulation within myocardial T-tubules by D96V calmodulin enhances proarrhythmic sodium and calcium mishandling
Open the record for dataset details and reuse information.
Data from: Regulation of the formin INF2 by actin monomers and calcium-calmodulin
Open the record for dataset details and reuse information.
Calmodulin simulation with DESamber (5 replicas)
<p>MD simulations of calmodulin with DESamber force field. Five replicas from different starting structures from taken from RCSB PDB: 1CFC (model 1, 5, 10, 15 and 20). Simulations were run wtih 100 mM KCl at 296 K. The trajectory has a saving frequency of 10 ps. </p>
Calmodulin simulation with amber99SB-ILDN (5 replicas)
<p>MD simulations of calmodulin with amber99SB-ILDN force field. Five replicas from different starting structures from taken from RCSB PDB: 1CFC (model 1, 5, 10, 15 and 20). Simulations were run wtih 100 mM KCl at 296 K. The trajectory has a saving frequency of 10 ps. </p>
Calmodulin simulation with amberff03ws (5 replicas)
<p>MD simulations of calmodulin with amberff03ws force field. Five replicas from different starting structures from taken from RCSB PDB: 1CFC (model 1, 5, 10, 15 and 20). Simulations were run wtih 100 mM KCl at 296 K. The trajectory has a saving frequency of 10 ps. </p>
Calmodulin simulation with amber99SB-disp (5 replicas)
<p>MD simulations of calmodulin with amber99SB-disp force field. Five replicas from different starting structures from taken from RCSB PDB: 1CFC (model 1, 5, 10, 15 and 20). Simulations were run wtih 100 mM KCl at 296 K. The trajectory has a saving frequency of 10 ps. </p>
Calmodulin simulation with ambe99SBws (5 replicas)
<p>MD simulations of calmodulin with amber99SBws force field. Five replicas from different starting structures from taken from RCSB PDB: 1CFC (model 1, 5, 10, 15 and 20). Simulations were run wtih 100 mM KCl at 296 K. The trajectory has a saving frequency of 10 ps. </p>
Transcriptional control of CALMODULIN by CAMTA regulates neural excitablity [ChIP-seq]
GEO Series GSE157928. Caenorhabditis elegans. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Transcriptome profiling of mutants of CALMODULIN-LIKE (CML) family genes and CALMODULIN-BINDING PROTEIN 60 (CBP60) family genes in response to Pseudomonas syringae pv maculicola ES4326
GEO Series GSE100187. Arabidopsis thaliana. 42 samples. Type: Expression profiling by high throughput sequencing.
Calmodulin-binding transcription activator (CAMTA) 6 is a key regulator of Na+ homeostasis and salinity stress responses during early germination
GEO Series GSE116069. Arabidopsis thaliana. 12 samples. Type: Expression profiling by high throughput sequencing.
Root-specific overexpression of OsERF48 causes regulation of OsCML16, a calmodulin-like protein gene that enhances root growth and drought tolerance
GEO Series GSE93081. Oryza sativa. 8 samples. Type: Expression profiling by high throughput sequencing.
The calmodulin-like protein, CML39, is involved in regulating seed development, germination, and fruit development in Arabidopsis
GEO Series GSE108898. Arabidopsis thaliana. 4 samples. Type: Expression profiling by high throughput sequencing.
Transcriptional control of CALMODULIN by CAMTA regulates neural excitablity
GEO Series GSE164671. Caenorhabditis elegans. 65 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Cardiac Enrichment of Mutant Calmodulin Protein in a Murine Model of a Human Calmodulinopathy
GEO Series GSE301709. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Whole genome transcription profile of antigen receptor activated B cells expressing wildtype or Calmodulin (CaM) - resistant E12
GEO Series GSE35747. Mus musculus. 12 samples. Type: Expression profiling by array.
Transcriptional control of CALMODULIN by CAMTA regulates neural excitablity [RNA-seq]
GEO Series GSE164662. Caenorhabditis elegans. 49 samples. Type: Expression profiling by high throughput sequencing.
Double RNA-seq analysis of Calmodulin indirect knockout in Toxoplasma gondii TATI strain
GEO Series GSE198001. Toxoplasma gondii. 6 samples. Type: Expression profiling by high throughput sequencing.
Simulation of Calmodulin in water with large calcium chloride concentration
<p>Simulation data for Calmodulin in solution with 50mM of CaCl2 using standard Charmm36 forcefield and ECC Charmm36.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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