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1,880 results for “Dimensionality”
Fig. 5 in Analysis of Water-Soluble Proteins by Two-Dimensional Electrophoresis in the Encystment Process of Colpoda cucullus Nag-1 and Cytoskeletal Dynamics
Fig. 5. Photomicrographs (Nomarski images) (A) and transmission electron micrographs (B) of C. cucullus Nag-1 after onset of encystment induction, showing resorption of cilia. (A) Vegetative cell at 0 h (A-1) and 2.5 h (A-2) after onset of encystment induction. (B) Encysting 3-h-aged cell (B-1) and 4-h-aged cell (B-2). ci: cilia, m: plasma membrane, ec: ectocyst layer, le: lepidosome. (B-2) a different electron micrograph of the same ultrathin section used in a previous paper (Funatani et al. 2010; Fig. 3).
Fig. 3 in Analysis of Water-Soluble Proteins by Two-Dimensional Electrophoresis in the Encystment Process of Colpoda cucullus Nag-1 and Cytoskeletal Dynamics
Fig. 3. Immunoblotting assay using anti α-tubulin antibody showing total α-tubulin content during resting cyst formation of C. cucullus Nag-1. Figures above the photographs indicate time lapse after on- set of encystment induction.
Fig. 2 in Analysis of Water-Soluble Proteins by Two-Dimensional Electrophoresis in the Encystment Process of Colpoda cucullus Nag-1 and Cytoskeletal Dynamics
Fig. 2. Changes of the amount of β-tubulin (p56) and its fragments (p37 and p19) contained in water-soluble fraction during resting cyst formation of C. cucullus Nag-1. Figures above the photographs indicate time lapse after onset of encystment induction.
Fig. 1. 2-D in Analysis of Water-Soluble Proteins by Two-Dimensional Electrophoresis in the Encystment Process of Colpoda cucullus Nag-1 and Cytoskeletal Dynamics
Fig. 1. 2-D PAGE showing an alteration of the water-soluble protein composition at 0 h–4 weeks after the onset of encystment induction of C. cucullus Nag-1. Arrowheads indicate the proteins (p56, p37, p19) whose amount uniquely and markedly changed during resting cyst formation. These proteins were identified as β-tubulin and its fragments by MS analysis (see Table 1).
Fig. 7 in Analysis of Water-Soluble Proteins by Two-Dimensional Electrophoresis in the Encystment Process of Colpoda cucullus Nag-1 and Cytoskeletal Dynamics
Fig. 7. Effects of 10 µM taxol (A) and 10 µM cytochalasin B (B) on Ca2+/overpopulation-mediated globulation of C. cucullus Nag-1 (A-1, B-1) and ciliary resorption (A-2, B-2). A-1, B-1 − The rate of encysting (rounded) cells was expressed as a percentage of the total number of tested cells (100 randomly selected cells). Open squares (negative control). The cells were suspended in 1 mM Tris-HCl (pH 7.2) solu- tion without inhibitors at low cell density (<2,000 cells/ml). Under this condition, encystment was hardly induced. Closed circles (positive control). The cells were suspended in an encystment-inducing medium [1 mM Tris-HCl (pH 7.2) and 0.1 mM CaCl2] without inhibitors at high cell density (> 30,000 cells/ml) (Ca2+/overpopulation stimulation). In this condition, the encystment was markedly induced. Open circles (experiment). The cells were suspended in an encystment-inducing medium containing taxol (Ta) or cytochalasin B (CB) at high cell density (> 30,000 cells/ml). Points and attached bars correspond to the means of 5 measurements (100 cells per measurement) obtained from different batches and standard errors, respectively. A-2, B-2 − Length of cilia at 2 h after onset of encystment induction in the presence or absence of taxol (Ta) or cytochalasin B (CB). In the negative control [Induced without 'Ta' (0 h) or Induced without 'CB' (0 h)], the cultured cells were collected, then suspended in encystment-inducing medium, and quickly fixed with 3.7% paraformaldehyde. In the positive control [Induced without 'Ta' (2 h) or Induced without 'CB' (2 h)], the cells were suspended for 2 h in an encystment-inducing medium without inhibitors at high cell density (> 30,000 cells/ml), and then fixed with 3.7% paraformaldehyde. In the experimental groups [Induced with 'Ta' (2 h) or Induced with 'CB' (2 h)], the cells were suspended for 2 h in an encystment-inducing medium containing inhibitors at high cell density (> 30,000 cells/ml), and then fixed with 3.7% paraformaldehyde. Columns and attached bars correspond to the means in 26 cells and standard errors, respectively.
Simulation data of Schmidt et al., A three-dimensional finite element formulation coupling electrochemistry and solid mechanics on resolved microstructures of all-solid-state lithium-ion batteries, DOI: https://doi.org/10.1016/j.cma.2023.116468
<p>This data set includes the simulation results of the relevant simulations published in the paper: "Schmidt et al., A three-dimensional finite element formulation coupling electrochemistry and solid mechanics on resolved microstructures of all-solid-state lithium-ion batteries, DOI: https://doi.org/10.1016/j.cma.2023.116468".</p> <p>Please refer to the paper for the details of the model as well as the parameterization of the model for the respective simulations.</p> <p>The provided lzip archive is structured into separate folders, one per simulation. Each folder contains the output data and a short README.txt with further hints. For information on the compression algorithm and how to uncompress it lzip please refer to https://en.wikipedia.org/wiki/Lzip.</p>
Illuminating oncogenic KRAS signaling by multi-dimensional chemical proteomics
<p><span>Mutated KRAS is among the most frequent activating genetic alterations in cancer. Drug discovery efforts have led to inhibitors that block mutant KRAS activity. To better understand the molecular basis of their cytostatic rather than cytotoxic effects, w</span>e performed comprehensive dose-dependent proteome-wide target deconvolution, pathway engagement, and protein expression characterization in response to KRAS, MEK, ERK, SHP2, and SOS1 inhibitors in pancreatic (KRAS G12C, G12D) and lung cancer (KRAS G12C) cell lines. Analysis of the dose-response curves available online revealed common and cell line-specific signaling networks dominated by KRAS activity. Time-dose experiments separated early ERK-driven effects from those that result from cell cycle arrest. The transition occurred without substantial proteome re-modelling but extensive changes in phosphorylation and ubiquitinylation. Our resource highlights the complexity of KRAS signaling in cancer and places a large number of new proteins and their modifications into this functional context for further exploration.</p> <p>We provide all dose-response curve data processed using internal pipelines or CurveCurator v0.5.0 (<a href="https://github.com/kusterlab/curve_curator" target="_blank" rel="noopener">https://github.com/kusterlab/curve_curator</a>). A README file is included with details about each file and a Meta table describing the experimental conditions. Each CurveCurator folder contains both the input data (including the TOML parameter file used for curve generation) and the output, which includes interactive dashboards (<strong>dashboard.html</strong>) and processed curve data (<strong>curves.txt</strong>).</p> <p>Phospho-proteome, whole proteome, ubiquitinome, Kinobead pulldown, and cysteine profiling data are provided in separate ZIP folders. Additionally, we include all aggregated supplementary tables and analysis output tables used for figure generation in the manuscript.</p>
Recla 2-dimensional scan output
<p>Results for a two-dimensional, two-QTL scan on Chr 8 for two traits: percent time in light and hot plate latency. </p>
Depolarization block in olfactory sensory neurons expands the dimensionality of odor encoding
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Data from: How many specimens make a sufficient training set for automated three dimensional feature extraction?
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Enhancing two-dimensional control via single-channel haptic feedback: A multi-dimensional encoding strategy
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Data of: Imputation-free reconstructions of three-dimensional chromosome architectures in human diploid single-cells using allele-specified contacts
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Data from: Arm waving in stylophoran echinoderms: three-dimensional mobility analysis illuminates cornute locomotion
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Data from: Transformation of measurement uncertainties into low-dimensional feature vector space
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Data from: Twist and chew: three dimensional tongue kinematics during chewing in macaque primates
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Data from: N-dimensional hypervolumes in trait-based ecology: does occupancy rate matter?
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ATP binding facilitates target search of SWR1 chromatin remodeler by promoting one-dimensional diffusion on DNA
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Direct measurements of 4-dimensional variability in oceanic flow structures with a new towed phased array Doppler sonar
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Data from: Stuck in the mud: experimental taphonomy and computed tomography demonstrate the critical role of sediment in stabilizing the three-dimensional external morphology of arthropod carcasses during early fossil diagenesis - DRAGONFLY sessions
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Three-dimensional offsets of geomorphic piercing lines displaced by the quaternary-active Beaufort range fault, northern Cascadia forearc, BC, Canada
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ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.