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111,247 results for “cells”

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zenodo36/100

Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers

<p>This repository contains the raw IMC data of ZTMA 26 as continuation of dataset&nbsp;<strong>10.5281/zenodo.7494413.</strong>&nbsp;The zip files starting with ZTMA contain the raw IMC measurements (mcd&nbsp;and txt) of those parts of the TMA. The TMA measurements are split up into parts in order to avoid huge files.</p> <p>Additionally, this repository contains the metadata of the patients analyzed in this study, the panel information and the single-cell data that was extracted from the multiplexed images together with the associated metadata in SingleCellExperiment format for analysis in R.</p> <p>The analysis.zip folder contains files that were written out during the analysis according to the scripts in&nbsp;https://github.com/BodenmillerGroup/BC_LN_metastses.</p> <p>The single-cell and other data outputs from CellProfiler can be found in the cpout.zip file.</p> <p>The IF_whole_sections.zip file contains the IF images of the primary breast cancer sections (czi files) and the extracted single-cell data.</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers

<p>This repository contains the raw IMC data of ZTMA 21 and 25 of&nbsp;the matched primary breast cancer and lymph node metastasis study presented in Fischer and Jackson et al., 2023. The code that was used to process and analyze this data can be found at&nbsp;https://github.com/BodenmillerGroup/BC_LN_metastses.</p> <p>The zip files starting with ZTMA contain the raw IMC measurements (mcd&nbsp;and txt) of the respective parts of the TMA. The TMA measurements are split up into parts in order to avoid huge files.</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

Data for Whole-cell modeling of E. coli colonies enables quantification of single-cell heterogeneity in the antibiotic response

<p>Data from simulations used to generate the figures in the paper <em>Whole-cell modeling of E. coli colonies enables quantification of single-cell heterogeneity in the antibiotic response</em>.</p> <p>To reproduce analyses, extract <em>colony_data.zip</em> in the <em>data</em> folder after cloning the <em>vivarium-ecoli</em> repository.</p> <p>The extracted folder contains the following items:</p> <ul> <li><em>sim_dfs</em>: a folder containing the CSV files that represent a subset of the raw simulation data used for downstream analyses.</li> <li><em>glc_10000_fluxome.csv</em>: Each row represents a reaction in central carbon metabolism (in same order as listed in <em>validation/ecoli/flat/toya_2010_central_carbon_fluxes.tsv</em>). Each column represents a single time point for a single cell in a baseline glucose simulation (seed 10000). Each value is a flux (mmol/L/hr). Provided as input to <em>ecoli/analysis/centralCarbonMetabolism.py </em>script to reproduce fluxome validation plot.</li> <li><em>glc_10000_proteome_avgs.csv</em>: Each row represents a protein monomer (in same order as <em>sim_data.translation.monomer_data[&quot;id&quot;]</em> where <em>sim_data</em> is <em>reconstruction/sim_data/kb/validationData.cPickle</em>). Each column represents a cell in a baseline glucose simulation (seed 10000). Each row represents a protein monomer. Each value represents the average count of a given protein monomer for a given cell. Provided as input to <em>ecoli/analysis/proteinCountsValidation.py</em> script to reproduce proteome validation plot.</li> <li><em>glc_10000_expressome.csv</em>: Each column represents a gene (with the exception of the final two metadata columns: &quot;Time&quot; and &quot;Agent ID&quot;). Each row represents a specific cell (agent) at a specific time in a baseline glucose simulation (seed 10000). Each value represents the number of new RNA transcripts for a given gene in a given cell at a given time. Provided as input to <em>ecoli/analysis/antibiotics_colony/subgen_gene_plots/count_subgen.py</em> script to calculate number of sub-generational genes among all genes and antibiotic response genes.</li> <li><em>glc_10000_total_mrna.json</em>: Mapping of agent IDs for all cells in a baseline glucose simulation (seed 10000) to their average total mRNA count. Used by <em>ecoli/analysis/antibiotics_colony/plot.py </em>to generate Fig. 2C,D.</li> <li><em>jenner_2013.csv</em>: Data extracted from Fig. 2C of <a href="https://doi.org/10.1073/pnas.1216691110">10.1073/pnas.1216691110</a>. Used by <em>ecoli/analysis/antibiotics_colony/plot.py </em>to generate Fig. S6A.</li> <li><em>olson_2006.csv</em>: Data extracted from Fig. 2D of <a href="https://doi.org/10.1128%2FAAC.01499-05">10.1128/AAC.01499-05</a>. Used by <em>ecoli/analysis/antibiotics_colony/plot.py </em>to generate Fig. S6A.</li> <li><em>lysis_ratios.csv</em>: Data extracted from Fig. 2 of <a href="https://doi.org/10.1099/00221287-31-3-339">10.1099/00221287-31-3-339</a>. Used by <em>ecoli/analysis/antibiotics_colony/plot.py </em>to generate Fig. 4N.</li> </ul>

opencc-by-4.0Feb 2023View details →
dryad36/100

IgLON5 immunoprecipitation files of binding partners in rat granullar cells of the cerebellum

<p class="MsoNormal"><span>Background: Anti-IgLON5 disease is a rare neurological disorder characterized by autoantibodies against IgLON5, and pathological evidence of neurodegeneration. IgLON5 is a cell adhesion molecule but its physiological function is unknown. Our aim was to investigate the IgLON5 interactome and to determine if IgLON5 antibodies (IgLON5-abs) affect these protein interactions.</span></p> <p class="MsoNormal"><span>Methods: IgLON5 interactome was investigated by mass spectrometry sequencing of proteins immunoprecipitated by IgLON5 autoantibodies using cultures of rat cerebellar granular neurons (CGNs). Shedding of IgLON5 was explored using HEK cells transfected with human IgLON5 plasmid and in CGNs. Interactions of IgLON5 with identified binding partners and IgLON5-abs effects were confirmed by immunofluorescence in transfected HEK cells and rat hippocampal neurons.</span></p> <p class="MsoNormal"><span>Results:  Patients' IgLON5 antibodies co-precipitated all members of the IgLON family and three 3 additional surface proteins. IgLON5 predominantly establishes homomeric and heteromeric <em>cis</em> (within the cell) and <em>trans </em>(between cells)-interactions with other IgLON family members and undergoes spontaneous ectodomain shedding. Antibodies from patients with anti-IgLON5 disease prevent trans-interactions in hippocampal neurons independently of the IgLON5 IgG subclass distribution. </span></p> <p class="MsoNormal"><span>Conclusions: We show a potentially novel pathogenic mechanism of IgLON5-abs that consists in blocking IgLON5 interactions with its binding partners. These findings extend our knowledge about the physiological role of IgLON5 and pave the way to future understanding of the pathological mechanisms of anti-IgLON5 disease.</span></p>

opencc-zeroMar 2023View details →
zenodo36/100

Pretrained models and test examples of live cell anatomy segmentation

<p>Pretrained models of live cell anatomy segmentation and test examples of the segmentation of 15 structures</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics

<p>Datasets associated with https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009797</p>

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

Meta-analysis of (single-cell method) benchmarks reveals the need for extensibility and interoperability

<p>Additional files for &quot;Meta-analysis of (single-cell method) benchmarks reveals the need for extensibility and interoperability&quot;.</p> <p><strong>Additional file 1 - list of benchmarks with consolidate survey answers (CSV)</strong></p> <p><strong>Additional file 2 - review form (CSV)&nbsp;</strong></p> <p><strong>Additional file 3 - unedited (anonymized) survey responses (TXT)</strong></p>

opencc-by-4.0Sep 2022View 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 →
zenodo36/100

Single-cell RNA-seq count data used in differential expression benchmark study

<p>Count matrices and meta data tables from&nbsp;simulated and real world immune cell single-cell RNA-seq experiments.</p> <p>All files are in Rds format and can be read by&nbsp;R using &quot;readRDS()&quot;.&nbsp;</p> <ul> <li>10k_*: These files contain a filtered version of the 10k Human PBMCs, 3&#39; v3.1&nbsp;data <a href="https://www.10xgenomics.com/resources/datasets/10k-human-pbmcs-3-v3-1-chromium-controller-3-1-high">published</a> by 10x Genomics</li> <li>blueprint_data.Rds: This file contains the bulk RNA-seq&nbsp;data downloaded from <a href="http://dcc.blueprint-epigenome.eu">BLUEPRINT</a></li> <li>blueprint_immune_comparisons.Rds: Results from running three bulk RNA-seq differential expression methods</li> <li>sim_data*: These files contain the count matrices and meta data tables for the simulated data. Every file&nbsp;contains a list of 13 replicates.</li> </ul> <p>&nbsp;</p>

opencc-by-4.0Mar 2023View details →
dryad36/100

Data from: Postnatal administration of S-adenosylmethionine restores developmental AHR activation-induced deficits in CD8+ T cell function during influenza A virus infection

<p>Abstract Developmental exposures can influence life-long health; yet, counteracting negative consequences is challenging due to poor understanding of cellular mechanisms. The aryl hydrocarbon receptor (AHR) binds many small molecules, including numerous pollutants. Developmental exposure to the signature environmental AHR ligand 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) significantly dampens adaptive immune responses to influenza A virus (IAV) in adult offspring. CD8+ cytotoxic T lymphocytes (CTL) are crucial for successful infection resolution, which depends on the number generated and the complexity of their functionality. Prior studies showed developmental AHR activation significantly reduced the number of virus-specific CD8+ T cells, but impact on their functions is less clear. Other studies showed developmental exposure was associated with differences in DNA methylation in CD8+ T cells. Yet, empirical evidence that differences in DNA methylation are causally related to altered CD8+ T cell function is lacking. The two objectives were to ascertain whether developmental AHR activation affects CTL function, and whether differences in methylation contribute to reduced CD8+ T cell responses to infection. Developmental AHR triggering significantly reduced CTL polyfunctionality, and modified the transcriptional program of CD8+ T cells. S-adenosylmethionine (SAM), which increases DNA methylation, but not Zebularine, which diminishes DNA methylation, restored polyfunctionality and boosted the number of virus-specific CD8+ T cells. These findings suggest that diminished methylation, initiated by developmental exposure to an AHR-binding chemical, contributes to durable changes in antiviral CD8+ CTL functions later in life. Thus, deleterious consequence of development exposure to environmental chemicals are not permanently fixed, opening the door for interventional strategies to improve health.</p>

opencc-zeroMar 2023View details →
zenodo36/100

Experimental data set for the article entitled "Mathematical Model of Steam Reforming in the Anode Channel of a Molten Carbonate Fuel Cell"

<p>Experimental data for the article: Szablowski, L.; Dybinski, O.; Szczesniak, A.; Milewski, J. Mathematical Model of Steam Reforming in the Anode Channel of a Molten Carbonate Fuel Cell. Energies 2022, 15, 608.&nbsp;The experiments were performed by the first two authors.<br> These data set refer to experiments carried out on a stand used to test high-temperature fuel cells. The subject of the study was a molten carbonate fuel cell fueled with a mixture of methane and steam with steam to carbon ratio of 2.0, 2.5, 3.0 and 3.5 and at the cell operating temperature of 550&deg;C and 650&deg;C. Additionally, in the anode channel of the cell, there was a catalyst in the amount of 2 g. The active area of the cell was 20.25 cm<sup>2</sup>. The article that uses these research results is published in an open access journal with a CC-BY license. This research was funded by the National Science Center, Poland (Grant number 2020/39/D/ST8/02021).</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

Extended Data for Single-cell Transcriptional Uncertainty Landscape of Cell Differentiation

<p>The dataset includes supporting information&nbsp;for the study titled&nbsp;&quot;Single-cell Transcriptional Uncertainty Landscape of Cell Differentiation&quot;.</p>

opencc-by-4.0Mar 2023View details →
dryad36/100

Porcine cell-free system mass spectrometry compiled data sets

<p><span>The degradation of sperm-borne mitochondria after fertilization is a conserved event. This process known as post-fertilization sperm mitophagy, ensures exclusively maternal inheritance of the mitochondria-harbored mitochondrial DNA genome. This mitochondrial degradation is in part carried out by the ubiquitin proteasome system. In mammals, ubiquitin-binding pro-autophagic receptors such as SQSTM1 and GABARAP have also been shown to contribute to sperm mitophagy. These systems work in concert to ensure the timely degradation of the sperm-borne mitochondria after fertilization. We hypothesize that other receptors, cofactors, and substrates are involved in post-fertilization mitophagy. <span>Mass spectrometry was used in conjunction with a porcine cell-free system to identify other autophagic cofactors involved in post-fertilization sperm mitophagy. This porcine cell-free system is able to recapitulate early fertilization proteomic interactions.  Altogether, 185 proteins were identified as statistically different between control and cell-free treated spermatozoa. Six of these proteins were further investigated, including MVP, PSMG2, PSMA3, FUNDC2, SAMM50, and BAG5. These proteins were phenotyped using porcine <em>in vitro </em>fertilization, cell imaging, proteomics, and the porcine cell-free system. The present data confirms the involvement of known mitophagy determinants in the regulation of mitochondrial inheritance and provides a master list of candidate mitophagy co-factors to validate in the future hypothesis-driven studies.</span></span></p>

opencc-zeroMar 2023View details →
zenodo36/100

Dataset related to article: Cell-envelope growth of Gram-negative bacteria proceeds independently of cell-wall synthesis

<p>Single-cell data for the article:&nbsp;</p> <p>Enno R. Oldewurtel, Yuki Kitahara, Baptiste Cordier, Richard Wheeler, Gizem &Ouml;zbaykal, Elisa Brambilla, Ivo Gomperts Boneca, Lars D. Renner, and Sven van Teeffelen</p> <p>Cell-envelope growth of Gram-negative bacteria proceeds independently of cell-wall synthesis. EMBO J (2023)</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

Supporting data for "Morphological profiling by high-throughput single-cell biophysical fractometry"

<p>No specific description. For more information, please contact: iriszqzh@connect.hku.hk.</p>

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

PARK15/FBXO7 is dispensable for PINK1/Parkin mitophagy in iNeurons and HeLa cell systems

<p>The protein kinase PINK1 and ubiquitin ligase Parkin promote removal of damaged mitochondria via a feed-forward mechanism involving ubiquitin (Ub) phosphorylation, Parkin activation, and ubiquitylation of mitochondrial outer membrane proteins to support recruitment of mitophagy receptors. The ubiquitin ligase substrate receptor FBXO7/PARK15 is mutated in an early-onset parkinsonian-pyramidal syndrome. Previous studies have proposed a role for FBXO7 in promoting Parkin-dependent mitophagy. Here, we systematically examine the involvement of FBXO7 in depolarization-dependent mitophagy in the well-established HeLa and induced-neurons cell systems. We find that FBXO7<sup>-/-</sup> cells have no demonstrable defect in: 1) kinetics of pUb accumulation, 2) pUb puncta on mitochondria by super-resolution imaging, 3) recruitment of Parkin and autophagy machinery to damaged mitochondria, 4) mitophagic flux, and 5) mitochondrial clearance as quantified by global proteomics. Moreover, global proteomics of neurogenesis in the absence of FBXO7 reveals no obvious alterations in mitochondria or other organelles. These results argue against a general role for FBXO7 in Parkin-dependent mitophagy and point to the need for additional studies to define how FBXO7 mutations promote parkinsonian-pyramidal syndrome. &nbsp;&nbsp;</p>

opencc-by-4.0Oct 2022View details →
dryad36/100

Data from: Pooled genome-wide CRISPR activation screening for rapamycin resistance genes in Drosophila cells

<p>Loss-of-function and gain-of-function genetic perturbations provide valuable insights into gene function. In <em>Drosophila</em> cells, while genome-wide loss-of-function screens have been extensively used to reveal mechanisms of a variety of biological processes, approaches for performing genome-wide gain-of-function screens are still lacking. Here, we describe a pooled CRISPR activation (CRISPRa) screening platform in <em>Drosophila</em> cells and apply this method to both focused and genome-wide screens to identify rapamycin resistance genes. The screens identified three genes as novel rapamycin resistance genes: a member of SLC16 family of monocarboxylate transporters (<em>CG8468)</em>, a member of the lipocalin protein family (<em>CG5399</em>), and a zinc finger C2H2 transcription factor (<em>CG9932</em>). Mechanistically, we demonstrate that <em>CG5399</em> overexpression activates the RTK-Akt-mTOR signaling pathway and that activation of insulin receptor (InR) by <em>CG5399</em> requires cholesterol and clathrin-coated pits at the cell membrane. This study establishes a novel platform for functional genetic studies in <em>Drosophila</em> cells.</p>

opencc-zeroApr 2023View details →
zenodo36/100

Engineering cellular communication between light-activated synthetic cells and bacteria (Source data)

<p>Source data files for supplementary figures for published version of &quot;Engineering cellular communication between light-activated synthetic cells and bacteria&quot;&nbsp;https://www.biorxiv.org/content/10.1101/2022.07.22.500923v1</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Design of a triaxial compression cell for x-ray tomography

<p>This repository contains the technical drawings of the triaxial compression setup developed and used in the PhD thesis "<em>E<a href="https://hal.science/tel-04202827v1">xperimental investigation of the effects of particle shape and friction on the mechanics of granular media</a></em>" by Gustavo Pinz&oacute;n (Universit&eacute; Grenoble Alpes).</p> <p>The setup is a modification of the traditional setup used in geotechnical testing, presenting a sliding base on one of the ends, which allows the creation of a singular strain localisation region.&nbsp;The experimental setup is designed for i<em>n-situ</em>&nbsp;testing inside the x-ray tomography cabin of Laboratoire 3SR, Grenoble, France.</p> <p>&nbsp;The&nbsp;<em>Readme.md</em> file contains further details on the structure of the repository and the materials of each component. Please refer to the PhD thesis <a href="https://hal.science/tel-04202827v1">here</a> for further details not found in the <em>Readme.md&nbsp;</em>file. Additional information/data not included in this repository is available upon request.</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Data and code for "Cell shape characterization, alignment and comparison using FlowShape"

<p><strong>Code</strong></p> <p>This folder contains a snapshot of the FlowShape Python package at the time of paper submission. The latest version is available at: <a href="https://bitbucket.org/pgmsembryogenesis/flowshape/src/main/">https://bitbucket.org/pgmsembryogenesis/flowshape/src/main/</a></p> <p><strong>Data</strong></p> <p>Contain 3D meshes of <em>C. elegans</em> early embryo cells, in Wavefront .obj format. Each filename has three parts sepparated by underscores</p> <ul> <li>Embryo identifier</li> <li>Cell name</li> <li>Timestep For example: <code>wt13_ABar_18</code> Embryo = wt13 Cell = ABar Timestep = 18</li> </ul> <p>The timesteps are frames from the original timelapse, where one frame corresponds to 90 seconds. The starting point is arbitrary, so time is aligned by EMS division.</p> <p>Embryo labels:</p> <ul> <li><code>7cell01-7cell07</code>: 7 wild-type embryos imaged only around the seven-cell stage.</li> <li><code>wt01-wt19</code>: 19 wild-type embryos imaged for a longer time.</li> <li><code>dshmig01-dshmig05</code>: 5 dsh-2 / mig-5 RNAi knockdown embryos, imaged around seven-cell stage.</li> </ul> <p><code>cell_filters.csv</code> is a CSV file containing identifiers of embryos left out of the analysis because of automatically detected errors. Further, wt06 was also left out because of problems with labeling the cells.</p> <p><strong>Images</strong></p> <p>Contains raw microscopy data that was used to generate the meshes. <code>resolution.csv</code> contains a list of Z, Y and X resolutions (micron / pixel).</p> <p><strong>Changelog</strong></p> <p>0.1.0</p> <ul> <li>Initial upload</li> </ul> <p>0.2.0</p> <ul> <li>Added microscopy images.</li> <li>Removed cells 6 and 7 from dsh-2 / mig-5 dataset, which were not supposed to be included there.</li> <li>Removed Python cache files.</li> </ul>

opengpl-2.0-or-laterDec 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

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

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.

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

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.