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489 results for “cell plasticity”

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zenodo44/100

Logical model for Model checking to assess T-helper cell plasticity

<p>Logical modeling has proven suitable for the dynamical analysis of large signaling and transcriptional regulatory networks. In this context, signaling input components are generally meant to convey external stimuli, or environmental cues. In response to such external signals, cells acquire specific gene expression patterns modeled in terms of attractors (e.g. stable states). The capacity for cells to alter or reprogram their differentiated states upon changes in environmental conditions is referred to as cell plasticity.</p> <p>In <a href="https://dx.doi.org/10.3389/fbioe.2014.00086">[1]</a>, it is presented an extended version of a published logical model of T-helper cell differentiation and plasticity, which accounts for novel cellular subtypes. The model encompasses 20 signaling pathways, a dozen of transcription factors, and about 30 cytokines, amounting to 101 components in total.</p> <p>Computational methods recently developed to efficiently analyze large models <a href="http://ginsim.org/node/185#ref1">[1]</a> are first used to study static properties of the model (i.e. stables states). Symbolic model checking is then applied to get further insights into reachability properties between Th canonical subtypes upon changes of specific prototypic environmental cues.</p> <p>The model reproduces novel reported Th subtypes (Tfh, Th9, Th22) and predicts additional Th hybrid subtypes in term of stables states. Using the model checker NuSMV-ARCTL, an abstract view of the dynamics, called reprograming graph, is produced providing a global and synthetic view of Th plasticity. The model is consistent with experimental data showing the polarization of na&iuml;ve Th cells into the canonical Th subtypes. The model further predicts substancial plasticity of Th subtypes depending on the signalling environment.</p>

opencc-by-4.0Jan 2015View details →
zenodo40/100

Single-cell datasets for cell cycle plasticity underlies fractional resistance to palbociclib in ER+/HER2- breast tumor cells

<p>There are 7 files uploaded in the data.</p><p>tumor_preprocessed.h5ad: Full primary tumor dataset post-feature selection and standardization across three treatment conditions (0, 10, and 100 nM palbociclib). AnnData object format. 14 cell cycle features, phase labels and other cell metadata, and two PHATE dimensions for manifold visualization.</p><p>T47D_preprocssed.h5ad: Full dataset of main text T47D dataset post-feature selection and standardization&nbsp;across three treatment conditions (0, 10, and 100 nM palbociclib).&nbsp;AnnData object format. 14 cell cycle features,&nbsp; phase labels and other cell metadata, and two PHATE dimensions for manifold visualization.</p><p>sketched_integrated.h5ad: After downsample 6,000 (2,000 per condition) from T47D_preprocessed and tumor_preprocessed, we integrate the two datasets into one joint latent space using TRANSACT. Now included in the data are the consensus component columns ('0',..,'13'). AnnData object.</p><p>sketched_integrated_df.csv: sketched_integrated.h5ad in .csv format.</p><p>T47D_replicate_preprocessed: Replicate experimental dataset of T47D for supplementary analysis post-feature selection and standardization&nbsp;across three treatment conditions (0, 10, and 100 nM palbociclib).&nbsp;15&nbsp;cell cycle features (same 14 but with CDK6).</p><p>sketched_rep.h5ad: Representative downsample of the T47D_replicate_preprocessed. Selecting 6,000 cells (2,000 for each of the three treatment conditions) using kernel herding sketching. AnnData object.</p><p>sketched_rep_df.csv: Same data as sketched_rep.h5ad in csv format.</p><p>T47D_triplicate_preprocessed.h5ad: T47D biological replicate sample collected in triplicate form (three wells for 0, 10, and 100 nM of palbociclib). Wells were joined and the data were sketched down to 20,000 per condition.</p><p>T47D_triplicate_preprocessed.h5ad: T47D triplicate in .csv form.</p><p>tumor_2_preprocessed.h5ad: An additional tumor sample from a new patient with the same treatment conditions of palbociclib. Sketched down to 2,000 cells per condition.</p><p>tumor_2_preprocessed.csv: The additional tumor sample in .csv form.</p><p>&nbsp;</p><p>Further description of sketched_integrated: This is the joint dataset between the T47D and primary tumor, after subsampling using kernel herding sketching. This is a dataset consisting of T47D and primary tumor cells resected from a consented patient. The samples were imaged using iterative indirect immunofluorescent imaging (4i) to get proteomic measurements on a single-cell level. The T47D and tumor samples were gathered, cultured, and imaged separately. Each sample was treated with three conditions of CDK4/6 inhibitor palbociclib (control, 10 nM, and 100 nM). Then, we used kernel sketching to representatively downsample each dataset, selecting 2,000 from each of the three treatment conditions (6,000 cells from each of the two sources). We used an integration method called TRANSACT to integrate the two datasets into one shared, latent space. The dataset here is consisting of these 12,000 cells. The columns ('0','1',...'13') are the principal vectors of the joint latent space. After that, there are the columns of the standardized proteomic measurements of different cell cycle effectors, and biological annotations of interest. The standardization is done for each data source separately. Well refers to the treatment condition. 'prb_ratio' is a marker of if a cell is still proliferating or arrested, found by selecting the upper modality of pRB/RB values. 'phase' are cell cycle phase labels found by unsupervised clustering done on a handful of known cell cycle markers.</p>

opencc-by-4.0May 2023View details →
dryad40/100

A bacterial effector manipulates host lysosomal protease activity-dependent plasticity in cell death modalities to facilitate infection

Open the record for dataset details and reuse information.

publicFeb 2025View details →
zenodo36/100

A model for the dissemination of circulating tumour cell clusters involving platelet recruitment and a plastic switch between cooperative and individual behaviours

<p>This folder includes live/dead cell counts&nbsp;as well as transwell assay&nbsp;data for the corresponding manuscript.&nbsp;</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 10

<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 10 comprises an image series of 255 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the T1 detector of the SEM at high vacuum. Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 05

<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 05 comprises an image series of 500 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 6 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 03

<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 03 comprises an image 3D model of a&nbsp;<em>Giardia lamblia</em> cell adhered to the plastic substrate of a culture dish. The model was generated by segmentation of the entire cell, the cell nuclei (red) and the ventral disc cytoskeleton (yellow) in an image series of 276 images which was recorded by SBF SEM (see dataset 01). Section interval was 50 nm and pixel size 10 nm. The data folder contains the model-file (Imaris-format) and a 360&deg; rotation of the model as video file (mp4-format).</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 02

<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 02 comprises an image series of 1462 images recorded of a&nbsp;<em>Giardia lamblia</em> cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.5 mbar). Original pixel size was 5 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 09

<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 09 comprises an image series of 400 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 08

<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 08 comprises an image series of 299 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 3 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 04

<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 04 comprises an image series of 120 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the T1 detector of the SEM at high vacuum. Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 07

<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 07 comprises an image series of 318 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 8 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 06

<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 06 comprises an image series of 215 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 01

<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 01 comprises an image series of 276 images recorded of a&nbsp;<em>Giardia lamblia</em> cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the DBS detector of the SEM at low vacuum (0.5 mbar). Original pixel size was 4 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>

opencc-by-4.0May 2024View details →
dryad36/100

The PLOD2/Succinate axis regulates the epithelial-mesenchymal plasticity and cancer cell stemness

<p>Aberrant accumulation of succinate has been detected in many cancers. However, the cellular function and regulation of succinate in cancer progression is not completely understood. Using stable isotope-resolved metabolomics (SIRM) analysis, we showed that the epithelial mesenchymal transition (EMT) was associated with profound changes in metabolites, including the elevation of cytoplasmic succinate levels. Treatment with cell-permeable succinate induced mesenchymal phenotypes in mammary epithelial cells and enhanced cancer cell stemness. Chromatin immunoprecipitation (ChIP) and sequence analysis showed that elevated cytoplasmic succinate levels were sufficient to reduce global 5-hydroxymethylcytosinene (5hmC) accumulation and induce transcriptional repression of EMT-related genes. We showed that expression of procollagen-lysine,2-oxoglutarate 5-dioxygenase 2 (PLOD2) was associated with an elevation of cytoplasmic succinate during the EMT process. Silence of PLOD2 expression in breast cancer cells reduced succinate levels and inhibited cancer cell mesenchymal phenotypes and stemness, which was accompanied by elevated 5hmC levels in chromatin. Importantly, exogenous succinate rescued cancer cell stemness and 5hmC levels in PLOD2-silenced cells, suggesting that PLOD2 promotes cancer progression at least partially through succinate. These results reveal the previously unidentified function of succinate in enhancing cancer cell plasticity and stemness.</p> <p><em><strong><span></span></strong></em></p>

opencc-zeroMar 2023View details →
dryad36/100

The PLOD2/Succinate axis regulates the epithelial-mesenchymal plasticity and cancer cell stemness

Open the record for dataset details and reuse information.

publicMar 2023View details →
dryad36/100

Associative plasticity of granule cell inputs to cerebellar Purkinje cells

Open the record for dataset details and reuse information.

publicDec 2024View details →
zenodo32/100

Intrinsic and synaptic determinants of receptive field plasticity in Purkinje cells of the mouse cerebellum

<p>Here we provide the data for the paper &quot;Intrinsic and synaptic determinants of receptive field plasticity in Purkinje cells of the mouse cerebellum&quot;. The dataset is saved as MAT-file (version 7.0). The source code for analysis is saved in github. Folder names indicate the contents corresponding to the specific figures in the paper.</p>

opencc-by-4.0Jun 2023View details →
zenodo32/100

Single-cell Roadmap dataset "Cardiac differentiation roadmap for analysis of plasticity and balanced lineage commitment" (Snabel et al.)

<p>View the temporal single-cell transcriptomics data (UMAP, PCA, Heatmaps and Violin plots) using the Shiny App interface of iSEE (<a href="https://doi.org/10.12688/f1000research.14966.1">doi:10.12688/f1000research.14966.1</a>) for easy visualization of the single-cell data described in "Single-cell roadmap of cardiac differentiation identifies roles for ZNF711 and retinoic acid in balanced epicardial and cardiomyocyte lineage commitment" (Snabel et al., bioRXiv).</p> <p>For instructions on how to use this data, please visit https://github.com/Rebecza/scRoadmap_CardiacDiffs/.</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

Purkinje cell responses during diverse Granule cell plasticity scenarios

<p>Purkinje cell responses during diverse Granule cell plasticity scenarios</p>

opencc-by-4.0Oct 2022View details →

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Last verified 2026-04-30Open record

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DANDI Archive for NWB datasets

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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

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neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record