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523 results for “cell migration”
Dataset part one to the publication "CAL-1 as Cellular Model System to Study CCR7-Guided Human Dendritic Cell Migration"
<p>This study was supported in parts by research funding from the Swiss National Science Foundation (grant number 310030_189144), the Thurgauische Stiftung für Wissenschaft und Forschung, and the State Secretariat for Education, Research and Innovation to DFL.</p>
Centripetal migration in Drosophila ovary VI: stretch cell timelapse pt4
<p>Part of data supporting Figs 4, S4,S5 of “Two phases for centripetal migration of Drosophila melanogaster follicle cells: initial ingression followed by epithelial migration”</p> <p>DOI: 10.1242/dev.200492</p> <p><strong>Data file description:</strong></p> <ul> <li><strong>“MyrtdEOS” 25.1GB</strong></li> </ul> <p> Timelapse image data for marked stretch cells</p> <ul> <li><strong>“PG150 Gal4 pt2” 21.78GB</strong></li> </ul> <p> Timelapse image data for marked stretch cells</p> <ul> <li><strong>“Stretch Cell Analysis CSV files” 56 KB</strong></li> </ul> <p> Preliminary evaluation of stretch cell samples, and quantitative data for stretch cell extensions</p> <p> </p>
Centripetal migration in Drosophila ovary V: stretch cell timelapse pt3
<p>Part of data supporting Figs 4, S4 of “Two phases for centripetal migration of Drosophila melanogaster follicle cells: initial ingression followed by epithelial migration”</p> <p>DOI: 10.1242/dev.200492</p> <p><strong>Data files descriptions:</strong></p> <ul> <li><strong>“A90 Gal4” 4.8 GB</strong></li> </ul> <p> Timelapse image data for marked stretch cells</p> <ul> <li><strong>“C415 Gal4 pt2” 39.86 GB</strong></li> </ul> <p> Timelapse image data for marked stretch cells</p> <ul> <li><strong>“Stretch Cell Analysis CSV files” 56 KB</strong></li> </ul> <p> Preliminary evaluation of stretch cell samples, and quantitative data for stretch cell extensions</p> <p> </p>
Centripetal migration in Drosophila ovary IV: stretch cell timelapse pt2
<p>Part of data supporting Figs 4, S4 of “Two phases for centripetal migration of Drosophila melanogaster follicle cells: initial ingression followed by epithelial migration”</p> <p>DOI: 10.1242/dev.200492</p> <p><strong>Data files descriptions:</strong></p> <ul> <li><strong>“C415 Gal4 pt1” 45.32 GB</strong></li> </ul> <p> Timelapse image data for marked stretch cells</p> <ul> <li><strong>“Stretch Cell Analysis CSV files” 56 KB</strong></li> </ul> <p> Preliminary evaluation of stretch cell samples, and quantitative data for stretch cell extensions</p>
Centripetal migration in Drosophila ovary III: stretch cell timelapse pt1
<p>Part of data supporting Figs 4, S4 of “Two phases for centripetal migration of Drosophila melanogaster follicle cells: initial ingression followed by epithelial migration”</p> <p>DOI: 10.1242/dev.200492</p> <p><strong>Data files descriptions:</strong></p> <ul> <li><strong>“PG150 Gal4 pt1” 35.92 GB</strong></li> </ul> <p> Timelapse image data for marked stretch cells</p> <ul> <li><strong>“Stretch Cell Analysis CSV files” 56 KB</strong></li> </ul> <p> Preliminary evaluation of stretch cell samples, and quantitative data for stretch cell extensions</p>
Data for: Dysregulation of mTOR signaling mediates common neurite and migration defects in both idiopathic and 16p11.2 deletion autism neural precursor cells
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Data from: Linking continuous and discrete models of cell birth and migration
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Fiji/CellProfiler cell migration timelapse data set and code
<p>This zenodo upload consists of:</p> <p>Fiji IJMacro script create_LabelledMasks.ijm<br> CellProfiler pipeline TrackMate_CellProfiler.cppipe<br> Matlab script Plot_per_cell.m <br> <br> Saved manually curated TrackMate project crop_1_60_ManualCuration.xml<br> Saved Spots Results Table of manually curated TrackMate project: Spots in tracks statistics.csv<br> CellProfiler pipeline output cp_output.zip</p> <p>Example data set crop_1_60.tif - subset of image data previously described in:</p> <p><strong><a href="https://www.zotero.org/google-docs/?9YEDuq">Shafqat-Abbasi, H., Kowalewski, J. M., Kiss, A., Gong, X., Hernandez-Varas, P., Berge, U., Jafari-Mamaghani, M., Lock, J. G., and Strömblad, S. 2016. An analysis toolbox to explore mesenchymal migration heterogeneity reveals adaptive switching between distinct modes. eLife 5:e11384–e11384.</a></strong><br> Many thanks to Staffan Strömblad et al. for sharing the data.</p>
A multiscale theory for spreading and migration of adhesion-reinforced mesenchymal cells
<p>We present a chemomechanical whole-cell theory for the spreading and migration dynamics of mesenchymal cells that can actively reinforce their adhesion to an underlying viscoelastic substrate as a function of its stiffness. Our multiscale model couples the adhesion reinforcement effect at the subcellular scale with the nonlinear mechanics of the nucleus-cytoskeletal network complex at the cellular scale to explain the concurrent monotonic area-stiffness and non-monotonic speed-stiffness relationships observed in experiments: We consider that large cell spreading on stiff substrates flattens the nucleus, increasing the viscous drag force on it. The resulting force balance dictates a reduction in the migration speed on stiff substrates. We also reproduce the experimental influence of the substrate viscosity on the cell spreading area and migration speed by elucidating how the viscosity may either maintain adhesion reinforcement or prevent it depending on the substrate stiffness. Additionally, our model captures the experimental directed migration behavior of the adhesion-reinforced cells along a stiffness gradient, known as durotaxis, as well as up or down a viscosity gradient (viscotaxis or anti-viscotaxis), the cell moving towards an optimal viscosity in either case. Overall, our theory explains the intertwined mechanics of the cell spreading, migration speed and direction in the presence of the molecular adhesion reinforcement mechanism. </p>
N-cadherin dynamically regulates pediatric glioma cell migration in complex environments
<p>Pediatric high-grade gliomas are highly invasive and essentially incurable. Glioma cells migrate between neurons and glia, along axon tracts, and through extracellular matrix surrounding blood vessels and underlying the pia. Mechanisms that allow adaptation to such complex environments are poorly understood. N-cadherin is highly expressed in pediatric gliomas and is associated with shorter survival. We found that inter-cellular homotypic N-cadherin interactions differentially regulate glioma migration according to the microenvironment, stimulating migration on cultured neurons or astrocytes but inhibiting invasion into reconstituted or astrocyte-deposited extracellular matrix. N-cadherin localizes to filamentous connections between migrating leader cells but to epithelial-like junctions between followers. Leader cells have more surface and recycling N-cadherin, increased YAP1/TAZ signaling, and increased proliferation relative to followers. YAP1/TAZ signaling is dynamically regulated as leaders and followers change position, leading to altered N-cadherin levels and organization. Together, the results suggest that pediatric glioma cells adapt to different microenvironments by regulating N-cadherin dynamics and cell-cell contacts.</p>
Tracking breast cancer cells migrating collectively and imaged in fluorescence with TrackMate-Cellpose
<p>Breast cancer cells migrating collectively.</p> <p>This dataset is used in a tutorial on using TrackMate and its cellpose integration to track such cells.</p> <p>See here for details: <a href="https://imagej.net/plugins/trackmate/trackmate-cellpose">https://imagej.net/plugins/trackmate/trackmate-cellpose</a> </p>
Effect of heterogeneous substrate adhesivity of follower cells on speed and tension profile of leader cells in primary keratocyte collective cell migration
<p><span>In single keratocyte motility, membrane tension is reported to be high at cell-fronts and believed to establish front coherence. To understand role of membrane mechanics in collective cell migration, we study membrane height fluctuations in cell sheets from fish scales using interference reflection microscopy (IRM). We report the monolayer to have cells lacking substrate adhesion and show that such "non-sticky" cells can form bridges between leader cells and far-away follower cells. Do such interactions alter motility and membrane mechanics in such leaders? We find non-significant, but reduced speed for leaders with "non-sticky" followers in comparison to other leaders. Cells show high phenotypic variability in their membrane fluctuation tension profiles. On average, this tension is found to be lower at cell fronts than the mid-section. However, leaders with non-sticky followers are more prone to display higher tension at their front and have a negative correlation between cell speed and front-mid tension difference. We, thus, conclude that intracellular tension gradients are heterogeneous in cell sheets and substrate adhesivity of followers can control the coupling of the gradient to cell speed.</span></p>
Cellular crowd control: overriding endogenous cell coordination makes cell migration more susceptible to external programming
<p>The uploaded files include 1) raw data used to generate plots and graphs included in the manuscript, 2) the total raw dataset from all experiments, 3) representative raw videos per experimental condition and data corresponding to each of the videos, and 4) Matlab scripts written by the researchers used for data analysis. </p>
T cells migration followed with TrackMate
<p>T cells migrating on ICAM-1 were automatically tracked using StarDist directly implemented within TrackMate.</p> <p>Raw image courtesy of Nathan H. Roy, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA 19104, USA.</p>
Tracking with TrackMate using mask images of cell migration
<p>Tutorial dataset used to show how to use mask images for tracking with TrackMate.</p> <p>Two movies are provided, one small and one large to play with.</p> <p>For more information, check here: https://imagej.net/plugins/trackmate/trackmate-mask-detector</p> <p> </p>
Dataset part two to the publication "CAL-1 as Cellular Model System to Study CCR7-Guided Human Dendritic Cell Migration"
<p>Additional dataset to dataset part one (doi: 10.5281/zenodo.4719596) to the publication "CAL-1 as Cellular Model System to Study CCR7-Guided Human Dendritic Cell Migration"</p>
Mathematical model results for: Dynamic fibronectin assembly and remodeling by leader neural crest cells prevents jamming in collective cell migration
<p>Collective cell migration plays an essential role in vertebrate development, yet the extent to which dynamically changing microenvironments influence this phenomenon remains unclear. Observations of the distribution of the extracellular matrix (ECM) component fibronectin during the migration of loosely connected neural crest cells (NCCs) lead us to hypothesize that NCC remodeling of an initially punctate ECM creates a scaffold for trailing cells, enabling them to form robust and coherent stream patterns. We evaluate this idea in a theoretical setting by developing an agent-based model that incorporates reciprocal interactions between NCCs and their ECM. ECM remodeling, haptotaxis, contact guidance, and cell-cell repulsion are sufficient for cells to establish streams in silico, however additional mechanisms, such as chemotaxis, are required to consistently guide cells along the correct target corridor. Further investigations of the model imply that contact guidance and differential cell-cell repulsion between leader and follower cells are key contributors to robust collective cell migration by preventing stream breakage. Global sensitivity analysis and simulated underexpression/overexpression experiments suggest that long-distance migration without jamming is most likely to occur when leading cells specialize in creating ECM fibers, and trailing cells specialize in responding to environmental cues by upregulating mechanisms such as contact guidance. This dataset contains summary statistics, movies, parameter values, and photos obtained from individual realizations of the mathematical model.</p>
Annona squamosa Leaf Extract Inhibit Migration of Human Cervical Cancer Cells Through MMP-9 Expression
<p> Figure 1. a.<em>Annona squamosa</em> leaf . b.Simplicia powder of <em>Annona squamosa</em> leaves</p> <p>Figure 2. <em>Annona squamosa</em> leaves ethanol extract.</p> <p>Figure 3. FTIR spectrophotometer results of acetogenin compounds of<em> </em><em>Annona squamosa</em> leaves extract</p> <p>Figure 4. The cytotoxic test of HeLa cells at 24 hours. The combination of ASL (<em>Annona squamosa</em> leaf Extract) 12.5 mg/ml + cisplatin was very effective compared with a single therapy. *<em>P</em> < 0.05Figure 4. The cytotoxic test of HeLa cells at 24 hours. The combination of ASL (<em>Annona squamosa</em> leaf Extract) 12.5 mg/ml + cisplatin was very effective compared with a single therapy. *<em>P</em> < 0.05</p> <p>Figure 5. The percentage of living cells of HeLa cells were cultured with different concentrations of <em>Annona squamosa</em> leaf extract.</p> <p>Figure 6. The combination therapy of ASL with cisplatin reduced the expressions of MMP-9 in HeLa cells. a. A significant concentration for cytotoxicity was a concentration of 12.5 mg/mL ASL + 5 μg/mL Cisplatin. b. The number of MMP-9 positive cells. *<em>P< </em>0.005.</p> <p>Figure 7. The combination therapy of ASL and Cisplatin inhibit cell migration. a. HeLa cells were treated with single cisplatin or in combination with ASL 12.5; 25, 50, and a single dose of ASL 75 mg/mL. b. Percentage area of cells undergoing migration. *<em>P</em><0.005.</p> <p> </p> <p> </p>
N-cadherin dynamically regulates pediatric glioma cell migration in complex environments
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Mathematical model results for: Dynamic fibronectin assembly and remodeling by leader neural crest cells prevents jamming in collective cell migration
Open the record for dataset details and reuse information.
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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.