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862
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ShareScore release 0.9.0
Dataset results
862 results for “Capillary”
Capillary Blood Accuracy
ClinicalTrials.gov study NCT06544070. IPD Sharing: NO. Countries: 0. Publications: 0.
Hemodynamic Evaluation and Assessment of DIRECT myocaRdial and Sublingual Capillary Perfusion in Thoracic Surgery Patients on Cardiopulmonary Bypass
ClinicalTrials.gov study NCT07135700. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
The Assessment of Microcirculation in Brachial Plexus Block Using Perfusion Index and Capillary Filling Time
ClinicalTrials.gov study NCT02727829. IPD Sharing: NO. Countries: 0. Publications: 0.
Hemodynamic Evaluation of Left Atrial Pressure in Relationship to Pulmonary Capillary Wedge Pressure in Cardio Thoracic Patients
ClinicalTrials.gov study NCT07163052. IPD Sharing: NO. Countries: 0. Publications: 0.
Investigating the Influence of Haemolysis on the Potassium Concentration After Capillary Blood Sampling
ClinicalTrials.gov study NCT02711332. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Cobas® Lumira Collection of Venous and Capillary Blood Samples for the Research, Optimization and Calibration of New Diagnostic Devices
ClinicalTrials.gov study NCT07378514. IPD Sharing: NO. Countries: 0. Publications: 0.
Validation of a Point-of-care Device Measuring Ferritin With Capillary Blood
ClinicalTrials.gov study NCT03800446. IPD Sharing: NO. Countries: 0. Publications: 0.
The integrated single cell RNAseq analysis of lung cells in Alveolar Capillary Dysplasia with Misalignment of Pulmonary Veins (ACDMPV) mouse model
GEO Series GSE178184. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Expression data of murine capillary endothelial cells after MICAL2 gene knock-down by means of shRNA-expressing lentiviral vectors.
GEO Series GSE120494. Mus musculus. 4 samples. Type: Expression profiling by array.
Severe damage on placental fetal capillary network causes mid to late fetal lethality and reduction of placental size in Peg11/Rtl1 KO mice
GEO Series GSE88892. Mus musculus. 16 samples. Type: Expression profiling by array.
In vitro priming of human mesenchymal stromal/stem cells into 3D capillary-like structures : Implication of the Src/JAK/STAT3 signaling pathway in vasculogenic mimicry
GEO Series GSE267328. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Vascular oxidative stress causes neutrophil arrest in brain capillaries, leading to decreased cerebral blood flow and contributing to memory impairment in a mouse model of Alzheimer’s disease
GEO Series GSE224394. Mus musculus. 17 samples. Type: Expression profiling by high throughput sequencing.
Alveolar capillary dysplasia with misalignment of pulmonary veins (ACDMPV) patient neonate lung gene expression analysis
GEO Series GSE54780. Homo sapiens. 13 samples. Type: Expression profiling by array.
Effect of Tunicamycin on Bovine Capillary Endothelial Cells
GEO Series GSE33729. Bos taurus. 6 samples. Type: Expression profiling by array.
Severe damage on placental fetal capillary network causes mid to late fetal lethality and reduction of placental size in Peg11/Rtl1 KO mice [day 12.5]
GEO Series GSE88891. Mus musculus. 8 samples. Type: Expression profiling by array.
Genomic copy-number analysis in Alveolar capillary dysplasia (ACD) patient samples
GEO Series GSE39257. Homo sapiens. 3 samples. Type: Genome variation profiling by genome tiling array.
Severe damage on placental fetal capillary network causes mid to late fetal lethality and reduction of placental size in Peg11/Rtl1 KO mice [day 10.5]
GEO Series GSE88849. Mus musculus. 8 samples. Type: Expression profiling by array.
Single-cell RNA sequencing of 76,535 capillary PBMCs from 3 donors across 28 samples, freshly isolated or on ice for 24h with manual 4-layer annotation hierarchy
<p><strong>Sample Procurement</strong></p> <p>Samples were collected directly from participants as part of ImYoo's "Single-cell immune profiling from self-collected capillary blood" study, approved by Advarra IRB (Protocol #Pro00057361).</p> <p><strong>Sample Processing</strong></p> <p>Whole capillary blood samples were self-collected from participants using the <a href="https://yourbiohealth.com/en-us/virtually-painless-blood-collection-devices-for-clinical-trials-and-wellness-testing">TAP II</a> device. Samples were either processed shortly after collection, or if being stored for longer than 4 hours, were kept in a styrofoam cooler with ice packs. Cells were isolated using <a href="https://www.stemcell.com/products/easysep-direct-human-pbmc-isolation-kit.html">EasySep Direct Human PBMC Isolation Kit</a> (STEMCELL Technologies Catalog #19654) and cryopreserved using <a href="https://www.stemcell.com/cryostor-cs10.html">CryoStor CS10</a> (STEMCELL Technologies Catalog #07930). Upon thawing, samples were labeled in accordance with the MULTI-seq protocol (<a href="https://www.nature.com/articles/s41592-019-0433-8">https://www.nature.com/articles/s41592-019-0433-8</a>) and then processed on a 10X Genomics Chromium, using either the Chromium Next GEM Single Cell 3' Kit v3.1 (10X Genomics Product Code 1000269) or Chromium Next GEM Single Cell 3’ HT Kit v3.1 (10X Genomics Product Code 1000370). DNA libraries were sequenced on either a NovaSeq 6000 or NextSeq 550.</p> <p><strong>Data Processing</strong></p> <p>Transcriptomic sequencing data was processed using Cell Ranger v7.0.1 with default parameters. Multiplexing oligo sequencing data was processed through a custom python script that counts the number of occurrences of each sample barcode sequence and assigns it to the corresponding cell barcode. Samples were demultiplexed using a custom algorithm that estimates the background sample barcode counts, and assigns each cell a probability of belonging to each sample. Cell typing was done as part of a larger dataset and consisted of iterative manual assignments of clusters to cell types. For each cell subtype detected, a new model was trained on just the cells of that type, and the process was repeated.</p> <p><strong>Metadata Fields</strong></p> <ul> <li><strong>barcode:</strong> Original chromium cell barcode</li> <li><strong>Sample IDs:</strong> Unique ID for the experimental sample that was processed with 10x Chromium, could have come from the same biological sample (identified by <strong>original_sample_id</strong>)</li> <li><strong>Participant IDs:</strong> Unique ID for participant (here there are three participants: 2, 3 and 51)</li> <li><strong>Cell Barcoding Runs:</strong> Unique ID for the 10x Chromium cell barcoding run in which that sample was processed. Multiple samples can be processed in a cell barcoding run.</li> <li><strong>Lane:</strong> ID of which Chromium chip lane the cell came from</li> <li><strong>extraction_protocol:</strong> How the PBMCs were isolated from whole blood. In this dataset all samples were processed with the TAP device.</li> <li><strong>sample_processing_delay_seconds:</strong> The amount of time (in seconds) between when the blood was extracted from the participant and when PBMC isolation + cryopreservation was performed</li> <li><strong>cell_barcoding_delay_days:</strong> How long PBMC samples were stored in liquid nitrogen prior to being thawed and processed on 10x</li> <li><strong>cell_barcoding_protocol</strong>: Which single cell RNA sequencing experimental protocol was used. Here all samples were processed with 10x v3.1 chemistry.</li> <li><strong>run_lane_batch:</strong> Concatenation of columns <strong>Cell Barcoding Runs</strong> and <strong>Lane</strong> to provide a unique ID for experimental processing batch (i.e. the DNA library)</li> <li><strong>cell_type_level_1:</strong> Level 1 of a 4-tier PBMC ontology that does not provide a label for low quality cells - those were left as NaNs.</li> <li><strong>cell_type_level_2:</strong> Level 2 of a 4-tier PBMC ontology that does not provide a label for low quality cells - those were left as NaNs.</li> <li><strong>cell_type_level_3:</strong> Level 3 of a 4-tier PBMC ontology that does not provide a label for low quality cells - those were left as NaNs.</li> <li><strong>cell_type_level_4:</strong> Level 4 of a 4-tier PBMC ontology that does not provide a label for low quality cells - those were left as NaNs.</li> <li><strong>c1:</strong> Level 1 of a 4-tier PBMC ontology that also provides label for low quality cells, such as Debris, Doublets, experimental artifacts and others. These additional labels can be used for creating a junk detector.</li> <li><strong>c2:</strong> Level 1 of a 4-tier PBMC ontology that also provides label for low quality cells, such as Debris, Doublets, experimental artifacts and others. These additional labels can be used for creating a junk detector.</li> <li><strong>c3:</strong> Level 1 of a 4-tier PBMC ontology that also provides label for low quality cells, such as Debris, Doublets, experimental artifacts and others. These additional labels can be used for creating a junk detector.</li> <li><strong>c4:</strong> Level 1 of a 4-tier PBMC ontology that also provides label for low quality cells, such as Debris, Doublets, experimental artifacts and others. These additional labels can be used for creating a junk detector.</li> <li><strong>original_sample_id:</strong> Some samples were derived from the same originating whole blood sample. This field specifies the source of the whole blood sample.</li> </ul>
Gene expression profile of macrophages of monocytic origin and Kupffer cells under conditions of co-cultivation with Ito cells, endotheliocytes of sinusoidal capillaries of the liver and HGF.
GEO Series GSE236447. Mus musculus. 48 samples. Type: Expression profiling by array.
Genome-wide SNP analysis of the Systemic Capillary Leak Syndrome (Clarkson disease)
GEO Series GSE49045. Homo sapiens. 30 samples. Type: SNP genotyping by SNP array.
ScienceDex guides
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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.