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111,247 results for “cells”
Data of Fig4, "The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples"
<p>Data of Fig4, “The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples”</p> <p>The Dataset (original publication: doi: 10.3390/cancers14133074) contains the original figure as PNG-format (10.3390-cancers14133074_Fig4.PNG). The Corresponding raw data and subsequent data analysis obtained from western blot analysis contains the original figures of the raw blots and antibody dilutions as PDF-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_2_3_M_1.pdf), data analysis (densitometry) and all further experiment related information provided as one meta-data-file in txt format (31003A-179400_10.3390-cancers14133074_SSDHRS7_2_3_M.txt). Corresponding raw data and subsequent data analysis obtained from RT-PCR analysis provided as one files in TXT format (31003A-179400_10.3390-cancers14133074_SSDHRS7_1_4_M.txt), all further experiment related information provided as one meta-data-file in pdf format (31003A-179400_10.3390-cancers14133074_SSDHRS7_1_4_M_1.pdf).</p>
Data of Fig2, "The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples"
<p>Data of Fig2, “The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples”</p> <p>The Dataset (original publication: doi: 10.3390/cancers14133074) contains the original figure as PNG-format (10.3390-cancers14133074_Fig2.PNG). The corresponding raw data and subsequent data analysis obtained from proteomics analysis are provided as three files in CSV format (31003A-179400_10.3390-cancers14133074_SS_SA_DHRS7_5_1-3.csv). All further experiment related information provided as one meta-data-file (31003A-179400_10.3390-cancers14133074_SS_SA_DHRS7_5_1_M .txt) in txt format. Corresponding raw data and subsequent data analysis obtained from western blot analysis contains the original figures of the raw blots and antibody dilutions as PDF-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_2_1_M_1 .pdf), data analysis (densitometry) and all further experiment related information provided as one meta-data-file in txt format (31003A-179400_10.3390-cancers14133074_SSDHRS7_2_1_M.txt). Corresponding raw data and subsequent data analysis obtained from RT-PCR analysis provided as one files in TXT format (31003A-179400_10.3390-cancers14133074_SSDHRS7_1_2_M.txt), all further experiment related information provided as one meta-data-file in pdf format (31003A-179400_10.3390-cancers14133074_SSDHRS7_1_2_M_1.pdf).</p>
Data of Fig5, "The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples"
<p>Data of Fig5, “The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples”</p> <p>The Dataset (original publication: doi: 10.3390/cancers14133074) contains the original figure as PNG-format (10.3390-cancers14133074_Fig5.PNG). The Corresponding raw data and subsequent data analysis obtained from western blot analysis contains the original figures of the raw blots and antibody dilutions as PDF-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_2_4_M_1.pdf), data analysis (densitometry) and all further experiment related information provided as one meta-data-file in txt format (31003A-179400_10.3390-cancers14133074_SSDHRS7_2_4_M.txt) and three files in CSV-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_2_4_3.csv). Corresponding raw data and subsequent data analysis obtained from RT-PCR analysis provided as one files in TXT format (31003A-179400_10.3390-cancers14133074_SSDHRS7_1_5_M .txt) and three files in CSV format (31003A-179400_10.3390-cancers14133074_SSDHRS7_1_5-1-3.csv), all further experiment related information provided as three meta-data-files in pdf format (31003A-179400_10.3390-cancers14133074_SSDHRS7_1_5_M_1-3.pdf).</p>
Data of Fig6, "The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples"
<p>Data of Fig6, “The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples”</p> <p>The Dataset (original publication: doi: 10.3390/cancers14133074) contains the original figure as PNG-format (10.3390-cancers14133074_Fig6.PNG). The Corresponding raw data and subsequent data analysis obtained from western blot analysis contains the original figures of the raw blots and antibody dilutions as PDF-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_2_5_M1.pdf), data analysis (densitometry) and all further experiment related information provided as one meta-data-file in txt format (31003A-179400_10.3390-cancers14133074_SSDHRS7_2_5_M.txt) and three files in CSV-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_2_5_1-3.csv).</p> <p> </p>
Data of Fig3, "The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples"
<p>Data of Fig3, “The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples”</p> <p>The Dataset (original publication: doi: 10.3390/cancers14133074) contains the original figure as PNG-format (10.3390-cancers14133074_Fig3.PNG). The Corresponding raw data and subsequent data analysis obtained from western blot analysis contains the original figures of the raw blots and antibody dilutions as PDF-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_2_2_M_1.pdf), data analysis (densitometry) and all further experiment related information provided as one meta-data-file in txt format (31003A-179400_10.3390-cancers14133074_SSDHRS7_2_2_M.txt). Corresponding raw data and subsequent data analysis obtained from RT-PCR analysis provided as one files in TXT format (31003A-179400_10.3390-cancers14133074_SSDHRS7_1_3_M.txt), all further experiment related information provided as one meta-data-file in pdf format (31003A-179400_10.3390-cancers14133074_SSDHRS7_1_3_M_1.pdf).</p>
Data of Fig1, "The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples"
<p>Data of Fig1, “The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples”</p> <p>The Dataset (doi: 10.3390/cancers14133074) contains the original figures as PNG-format (10.3390-cancers14133074_Fig1.PNG). Raw data and related Meta data are provides as one file in TXT format (31003A-179400_10.3390-cancers14133074_SSDHRS7_1_1_M.txt) and one file in PDF-Format (31003A-179400_10.3390-cancers14133074_SSDHRS7_1_1_M_1.pdf).</p>
Data of Fig9, "The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples"
<p>Data of Fig9, “The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples”</p> <p>The Dataset (original publication: doi: 10.3390/cancers14133074) contains the original figure as PNG-format (10.3390-cancers14133074_Fig9.PNG). The Corresponding raw data and subsequent data analysis obtained for immunohistochemistry contains one file in txt-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_12_1_M.pdf) and one file in csv-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_12_1.csv), and all further related information provided as one meta-data-file in pdf-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_23_1_M .txt)</p> <p> </p>
Data of FigS3, "The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples"
<p>Data of FigS3, “The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples”</p> <p>The Dataset (original publication: doi: 10.3390/cancers14133074) contains the original figure as PNG-format (10.3390-cancers14133074_FigS3.PNG). The Corresponding raw data and subsequent data analysis obtained for TCGA analysis contains one file in txt-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_23_3_M .txt), six files in csv-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_23_3-1-6 .csv) and one file in sps-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_23_3-4 .sps). All further related information provided as one meta-data-file in pdf-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_23_2_M 1.pdf).</p>
Data of: Imputation-free reconstructions of three-dimensional chromosome architectures in human diploid single-cells using allele-specified contacts
<p>These files are results obtained in<br><span><span><span><span>Imputation-free reconstructions of three-dimensional chromosome architectures in human diploid single-cells using allele-specified contacts</span></span></span></span><br>by Yoshito Hirata, Arisa H. Oda, Chie Motono, Masanori Shiro & Kunihiro Ohta.</p> <p>There are 33 files for the corresponding each reconstruction of three-dimensional chromosomone structures<br>for each cell.<br>There are 3D structures for 15 GM cells and 18 PBMC cells, which are obtained from the single cell Hi-C data of Tan et al. Science (2018).</p> <p>For each file, there are 6 columns:<br>The first column corresponds to the allele (0: maternal, 1: paternal)<br>The second column corresponds to the chromosome (1-22: chromosome's number, 23: X, 24: Y)<br>The third column corrsponds to the base point.<br>The fourth column, the fifth column and the sixth column correspond to x-, y-, and z-axes of our reconstruction.</p>
Data of FigS5, "The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples"
<p>Data of FigS5, “The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples”</p> <p>The Dataset (original publication: doi: 10.3390/cancers14133074) contains the original figure as PNG-format (10.3390-cancers14133074_FigS5.PNG). The Corresponding raw data and subsequent data analysis obtained from western blot analysis contains the original figures of the raw blots and antibody dilutions as PDF-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_2_7_M1.pdf), data analysis (densitometry) and all further experiment related information provided as one meta-data-file in txt format (31003A-179400_10.3390-cancers14133074_SSDHRS7_2_7_M.txt).</p> <p> </p>
Data of FigS6, "The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples"
<p>Data of FigS6, “The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples”</p> <p>The Dataset (original publication: doi: 10.3390/cancers14133074) contains the original figure as PNG-format (10.3390-cancers14133074_FigS6.PNG). The Corresponding raw data and subsequent data analysis obtained for TCGA analysis contains two files in txt-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_23_1-2_M.txt). All further related information provided as one meta-data-file in pdf-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_23_1_M1.pdf).</p> <p> </p>
Accelerated Stress Tests for Solid Oxide Cells via Artificial Aging of the Fuel Electrode
<p><strong>AD ASTRA: Data from Experiments for Artificial Aging of the Fuel Electrode in Solid Oxide Cells via Redox Cycling</strong></p> <p>One of the big hurdles towards fast deployment of Solid Oxide Cells (fuel cells or electrolyzers) is durability. Although intensive works are carried out for life time improvement, they meet a serious problem concerning long term electrochemical tests for accumulation of reliable data that may continue several years, which is unaffordable. A problem-solving approach is the introduction of Accelerated Stress Tests (AST) applying high levels of stress for a shorter period thus reducing the test time for degradation qualification.</p> <p>Since there are no definite criteria for the level of acceleration of a specific degradation phenomenon, the selection of aggravating conditions is a critical moment which is under studies in the FCH JU Project AD ASTRA (GA 825027).</p> <p>Herein we present data accumulated during the development of a procedure for artificial accelerated aging of the fuel electrode via redox cycling. They include electrochemical testing (current-voltage curves and impedance measurements) and microstructural characterization (SEM-BSE image analysis), as well as procedure for redox cycling.</p>
DATA: Comparison between optical tissue clearing methods for detecting administered mesenchymal stromal cells in mouse lungs
<p>This data set includes all the raw data collected for the following article: "Comparison between optical tissue clearing methods for detecting administered mesenchymal stromal cells in mouse lungs".</p>
Supplementary information for 'Crustacean leg regeneration restores complex microanatomy and cell diversity' by Almazán, Çevrim et al.
<p>Animals can regenerate complex organs, yet this frequently results in imprecise replicas of the original structure. In the crustacean <em>Parhyale</em>, embryonic and regenerating legs differ in gene expression dynamics but produce apparently similar mature structures. We examine the fidelity of <em>Parhyale </em>leg regeneration using complementary approaches to investigate microanatomy, sensory function, cellular composition and cell molecular profiles. We find that regeneration precisely replicates the complex microanatomy and spatial distribution of external sensory organs, and restores their sensory function. Single-nuclei sequencing shows that regenerated and uninjured legs are indistinguishable in terms of cell type composition and transcriptional profiles. This remarkable fidelity highlights the ability of organisms to achieve identical outcomes via distinct processes.</p>
Data files: Single-cell RNA sequencing of Plasmodium vivax sporozoites reveals stage- and species-specific transcriptomic signatures
<p>Scripts, preprocessed count matrices, single-cell data objects, and generated data (tables and .rds files) from the scRNA-seq analyses performed in <strong>“Single-cell RNA sequencing of Plasmodium vivax sporozoites reveals stage- and species-specific transcriptomic signatures".</strong></p> <p> </p>
CD8+ T cells of healthy donors sorted for Dextramer positive cells
<p>This dataset is analyzed in the study by Schneider-Hohendorf and colleagues concerning the phenotype of antigen-specific CD8+ T cells.</p>
Volumetric imaging of Arabidopsis thaliana root cells
<p><em>Arabidopsis thaliana</em> seeds were surface sterilized, germinated and grown in Murashigue and Skoog medium at pH 5.7 and supplemented with vitamins (0.1 mg l-1 pyridoxine, 0.1 mg l-1 nicotinic acid), 0.8% agar, and 1% sucrose. Plants were grown at 21°C, 16/8-hour light/dark periods at 105 µmol/m<sup>2</sup>s<sup>2</sup> light intensity.</p> <p>Using a Zeiss Axiovert 200M microscope and a C-APO 63X, 1.2NA objective (Oberkochen, Germany), confocal volumetric imaging of the plant material was performed, with a pixel size of 404 nm and Z step size of 500 nm. Excitation of the sample was provided by a 488 nm laser, and a filter cube with 525/45 nm and 630/92 nm bandpass filters was used for yellow and red emission light collection, respectively.</p> <p>An inverted Olympus FV1000-IX81 confocal microscope equipped with a LUMFLN×60, 1.3NA S objective was used for root cell nuclear imaging. Sample excitation was achieved with a 543 nm laser and a BA560-660 filter was used for emission light collection. Pixel size was 41 nm, with a Z step size of 100 nm.</p> <p>A custom-built selective plane illumination microscopy (SPIM) system was used for imaging of primary root cells expressing p35s:H2B-R-RF. Sample excitation was achieved with a 561 nm laser using stroboscopic illumination. Emission was filtered via a multi-bandpass emission filter (Semrock, FF01-446/523/600/677-25 BrightLine). Volumetric imaging was done by mounting the sample on a four dimensional (XYZ, and Y rotation) motorized stage (Picard Industries). A sCMOS sensor (Hamamatsu, ORCA-Flash4.0 V2) was used for signal recording. The OpenSPIM plugin of µmanager (v.1.4 for windows) was used for control of acquisition parameters, sample translation and stroboscopic illumination. Collected images had a pixel size of 0.325µm, Z step size of 100 nm and a Y rotation step of 1.8°.</p> <p>Experimental procedures were approved by the Bioethics Committee of the Biotechnology Institute of the National Autonomous University of Mexico.</p>
Image data for bioRxiv article named: mtFociCounter - Reproducible, open source and quantitative single-cell analysis of mitochondrial nucleoids and other foci
<p>Raw imaging data to reproduce and test the findings of the bioRxiv article: <strong>mtFociCounter </strong>- Reproducible, open source and quantitative single-cell analysis of mitochondrial nucleoids and other foci. It contains data from three imaging days and 2 or three technical replicates on each day.</p> <p> </p>
STORMS checklist: Dysbiosis of the enteric microbiota due to Crohn's disease treatment associated with MAIT cell activation
<p>STORMS checklist initiative to standardize reporting of human microbiome research, regarding submission to peer-reviewed journal.</p>
F-actin Imaging of Mechanically Compressed Pseudostratified Human Bronchial Epithelial Cells
<p><strong>Overview</strong></p> <p>This dataset includes immunofluorescence microscopy of pseudostratified airway epithelial cells stained for F-actin. Each field of view consists of 3 images visualizing the apical cell boundaries, basal cell boundaries, and basal cell stress fibers.</p> <p><strong>Cell Culture and Treatment</strong></p> <p>Primary human bronchial epithelial cells (from a single donor) were grown on transwells in air-liquid interface culture for 14 days to model a well-differentiated, pseudostratified airway epithelium. Cells were then exposed to mechanical compression (30 cmH2O for 3 hours) mimicking asthmatic bronchoconstriction. Cells were fixed (4% PFA for 30 minutes) at 24, 48, or 72 hours after mechanical compression. Two transwells were collected per condition and timepoint.</p> <p><strong>Immunofluorescence Imaging</strong></p> <p>Fixed transwells were stained for F-actin (Alexa fluor 488-Phalloidin, ThermoFisher Scientific, diluted 1:40, 30 minutes). Transwell membranes were cut from the plastic support and mounted on glass slides. Slides were imaged using a Zeiss Axio Observer Z1 with an apotome module controlled using Zen Blue 2.0 software. Five random fields of view were imaged from each transwell membrane in a z-stack from substrate to apical cell surface. To visualize various planes through the pseudostratified epithelial layer (apical cell boundaries, basal cell boundaries, and basal cell stress fibers), maximum intensity projections were generated from regions of interest through the z-stack.</p> <p><strong>Dataset</strong></p> <p>Each image file contains</p> <ul> <li>Timepoint: <strong>24</strong>, <strong>48</strong>, or <strong>72 </strong>hours after treatment</li> <li>Condition & Well: control <strong>(C) </strong>or mechanical compression<strong> (P) </strong>followed by a number indicating the well (1 or 2)</li> <li>Unique Z-stack ID: <strong><em>3-digit number</em></strong></li> <li><em>Miscellaneous note: MIP or MIP_ROI</em></li> <li>Region of Interest: apical cell boundaries (<strong>ACB</strong>), basal cell boundaries (<strong>BCB</strong>), or basal stress fibers (<strong>SF</strong>)</li> </ul> <p>For example, these 3 maximum intensity projection images came from the<em> same z-stack/field of view. </em>They are from the 72 hour timepoint, mechanical compression, well #2, z-stack #147:</p> <ul> <li>72hr_P2_147_MIP_ACB.tif: <em>apical cell boundaries</em></li> <li>72hr_P2_147_MIP_ROI_BCB.tif: <em>basal cell boundaries</em></li> <li>72hr_P2_147_MIP_ROI_SF.tif: <em>basal stress fiber</em></li> </ul>
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.