Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,042
datasets available to search
ShareScore release 0.9.0
Dataset results
1,042 results for “astrocyte”
Structural and Molecular Analysis of Adult Mouse Astrocytes and Vascular Connectivity in the Cortex and Hippocampus
<p>After image acquisition (0-RAW_CL230331_E2_serie1) and deconvolution (1-Deconvolved_CL230331_E2_serie1) using confocal microscopy and the SVI Huygens software,respectively, the image processing was conducted using Imaris, Fiji, and Matlab software. This process involved a sequence of manual operations (2-Imaris_surfaces_CL230331_E2_serie1) and custom Groovy scripts (5-Groovy scripts).</p> <p>The dataset analysis (3-Imaris_final_CL230331_E2_serie1_ims) allowed for a deeper investigation of morphological and molecular properties of adult mouse astrocytes (4-Image analysis_CL230331_E2_serie1) in two brain regions, the Isocortex and the Hippocampus, known to be interconnected to support multiple cognitive functions.</p>
Ca2+ activity maps of astrocytes tagged by axo-astrocytic AAV transfer
<p>Astrocytes exhibit localized Ca<sup>2+</sup> microdomain (MD) activity thought to be actively involved in information processing in the brain. However, functional organization of Ca<sup>2+</sup> MDs in space and time in relationship to behavior and neuronal activity is poorly understood. Here, we first show that Adeno-Associated Virus (AAV) particles transfer anterogradely from axons to astrocytes. Then we use this axo-astrocytic AAV transfer to express genetically encoded Ca<sup>2+</sup> indicators at high contrast circuit-specifically. In combination with two-photon microscopy and unbiased, event-based analysis we investigated cortical astrocytes embedded in the vibrissal thalamocortical circuit. We found a wide range of Ca<sup>2+</sup> MD signals, some of which were ultrafast (≤300 ms). Frequency and size of signals were extensively increased by locomotion but only subtly with sensory stimulation. The overlay of these signals resulted in behavior dependent maps with characteristic Ca<sup>2+</sup> activity hotspots, maybe representing memory engrams. These functional subdomains are stable over days, suggesting subcellular specialization.</p>
Astrocytic Gi-GPCR activation enhances stimulus-evoked extracellular glutamate
<p>Astrocytes perform critical functions in the nervous system, many of which are dependent on neurotransmitter-sensing through G protein-coupled receptors (GPCRs). However, whether specific astrocytic outputs follow specific GPCR activity remains unclear, and exploring this question is critical for understanding how astrocytes ultimately influence brain function and behavior. Here, we investigate the outputs of astrocytic Gi-GPCRs, a family of GPCRs which we previously showed is sufficient to increase slow-wave neural activity (SWA) during sleep when activated in cortical astrocytes<sup>1</sup>. We focus on two putative outputs by astrocytes <em>in vivo</em>, the regulation of extracellular glutamate and GABA, by combining fiber photometry recordings of the extracellular indicators iGluSnFR and iGABASnFR with astrocyte-specific chemogenetic Gi-GPCR activation. We find that Gi-GPCR activation does not change spontaneous dynamics of extracellular glutamate or GABA. However, Gi-GPCR activation does specifically increase visual stimulus-evoked extracellular glutamate. Together, these data point towards a complex relationship between astrocytic inputs and outputs <em>in vivo </em>that may depend on behavioral context. Further, they suggest an extracellular glutamate-specific mechanism underlying some astrocytic Gi-GPCR-dependent behaviors, including the regulation of sleep SWA.</p>
Data from: Influence of the properties of different graphene-based nanomaterials dispersed in polycaprolactone membranes on astrocytic differentiation
<p><strong>Abstract</strong></p> <p>Composites of polymer and graphene-based nanomaterials (GBNs) combine easy processing onto porous 3D membrane geometries due to the polymer and cellular differentiation stimuli due to GBNs fillers. Aimingto step forward to the clinical application of polymer/GBNs composites, this study performs a systematic and detailed comparative analysis of the influence of the properties of four different GBNs: i) graphene oxide obtained from graphite chemically processes (GO); ii) reduced graphene oxide (rGO); iii) multilayered graphene produced by mechanical exfoliation method (G<sub>mec</sub>); and iv) low-oxidized graphene via anodic exfoliation (G<sub>anodic</sub>); dispersed in polycaprolactone (PCL) porous membranes to induce astrocytic differentiation. PCL/GBN flat membranes were fabricated by phase inversion technique and broadly characterized in morphology and topography, chemical structure, hydrophilicity, protein adsorption, and electrical properties. Cellular assays with rat C6 glioma cells, as model for cell-specific astrocytes, were performed. Remarkably, low GBN loading (0.67 %wt.) caused an important difference in the response of the C6 differentiation among PCL/GBN membranes. PCL/rGO and PCL/GO membranes presented the highest biomolecule markers for astrocyte differentiation. Our results pointed to the chemical structural defects in rGO and GO nanomaterials and the protein adsorption mechanisms as the most plausible cause conferring distinctive properties to PCL/GBN membranes for the promotion of astrocytic differentiation. Overall, our systematic comparative study provides generalizable conclusions and new evidences to discern the role of GBNs features for future research on 3D PCL/graphene composite hollow fiber membranes for <em>in vitro</em>neural models.</p>
Transgenic A53T mice have astrocytic a-synuclein aggregates in dopamine and striatal regions
<p>Quantification of astrocyte expression, co-expression of astrocytes with a-syn, and astrocyte morphological data (soma size and number of processes) from 6 month transgenic A53T PD mice.</p>
Cortical astrocyte histamine-1-receptors regulate intracellular calcium and extracellular adenosine dynamics across sleep and wake
Open the record for dataset details and reuse information.
Ca2+ activity maps of astrocytes tagged by axo-astrocytic AAV transfer
Open the record for dataset details and reuse information.
Network-level encoding of local neurotransmitters in cortical astrocytes
Open the record for dataset details and reuse information.
Astrocytic Gi-GPCR activation enhances stimulus-evoked extracellular glutamate
Open the record for dataset details and reuse information.
Data From: PD-linked LRRK2 G2019S mutation impairs astrocyte morphology and synapse maintenance via ERM hyperphosphorylation
<p>Source data files for Wang et al 'PD-linked LRRK2 G2019S mutation impairs astrocyte morphology and synapse maintenance via ERM hyperphosphorylation'</p>
Rapid modulation of striatal cholinergic interneurons and dopamine release by satellite astrocytes
<h3><strong>ABSTRACT</strong></h3> <p>Astrocytes are increasingly thought to possess underestimated and important roles in modulating neuronal circuits. Astrocytes in striatum can regulate dopamine transmission by governing the extracellular tone of axonal neuromodulators, including GABA and adenosine. However, here we reveal that striatal astrocytes occupy a cell type-specific anatomical and functional relationship with cholinergic interneurons (ChIs), through which they rapidly excite ChIs and govern dopamine release via nicotinic acetylcholine receptors on subsecond timescales. We identify that ChI somata are in unexpectedly close proximity to astrocyte somata, in mouse and human, forming a “soma-to-soma” satellite-like configuration not typically observed for other striatal neurons. Transient depolarization of astrocytes in mouse striatum reversibly regulated ChI excitability by decreasing extracellular calcium. These findings reveal a privileged satellite astrocyte-interneuron interaction for striatal ChIs operating on subsecond timescales via regulation of extracellular calcium dynamics to shape downstream striatal circuit activity and dopamine signaling.</p> <p> </p> <h3><strong>FILE DESCRIPTIONS</strong></h3> <p>This repository contains the following files:</p> <ul> <li>Key Resources Table (.xlsx) - Table containing details on key resources (antibodies, mouse lines, virus strains, software, equipment, and reagents), and the persistent identifiers for protocols and code used and generated in this study. </li> <li>Source Data Folder (.zip): <ul> <li>_README_Source_Data (.txt) with detailed information about each dataset.</li> <li>Individual tabular datasets corresponding to each panel shown in the Main Figures 1 to 5 (.csv).</li> <li>Excel spreadsheet containing all tabular datasets plotted in Main Figures 1 to 5 (.xlsx)</li> </ul> </li> <li>Supplementary Data Folder (.zip): <ul> <li>_README_Supplementary_Data (.txt) with detailed information about each dataset.</li> <li>Individual tabular datasets corresponding to each panel shown in the Supplementary Figures 1-9, 11-14 (.csv).</li> <li>Excel spreadsheet containing all tabular datasets plotted in Supplementary Figures 1-9, 11-14 (.xlsx)</li> </ul> </li> </ul>
A data repository for the study of Alpha-synuclein aggregates trigger anti-viral immune pathways and RNA editing in human astrocytes
<p><span>This repository contains data associated with the study:</span></p> <p><span><strong>"Alpha-synuclein Aggregates Trigger Anti-Viral Immune Pathways and RNA Editing in Human Astrocytes"</strong></span></p> <p><span>Published as a <strong>bioRxiv preprint</strong>: <a href="https://doi.org/10.1101/2024.02.26.582055"><span>DOI: 10.1101/2024.02.26.582055</span></a></span></p>
Additional data repository for the study of Alpha-synuclein aggregates trigger anti-viral immune pathways and RNA editing in human astrocytes
<p>Zip file 1: astrocytes calcium data measured using Fura 2</p> <p>Zip file2: astrocytes ROS measured using DHE (Dihydroethidium)</p> <p>Zip file 3: astrocytes cell death measured using Sytox green</p>
The effect of antidepressants on genes of endoplasmic reticulum stress in human astrocyte cell line.
<p>Many central nervous system (CNS) diseases, including major depressive disorder (MDD), are underpinned by the unfolded protein response (UPR) activated under endoplasmic reticulum (ER) stress. New, more efficient, therapeutic options for MDD are needed to avoid adverse effects and drug resistance. Therefore, the aim of the work was to determine whether UPR signalling pathway activation in astrocytes may serve as a novel target for antidepressant drugs. Among the tested antidepressants (escitalopram, amitriptyline, S-ketamine), only S-ketamine induced the expression of most ER stress-responsive genes in astrocytes.</p> <p><a href="https://doi.org/10.3390/pharmaceutics14040846">https://doi.org/10.3390/pharmaceutics14040846</a></p> <p> </p>
Raw data for the paper entitled "Astrocytic GLUT1 Reduction Paradoxically Improves Central and Peripheral Glucose Homeostasis"
<p>This files contains the raw data for all the figures contained in the paper entitled "Astrocytic GLUT1 Reduction Paradoxically Improves Central and Peripheral Glucose Homeostasis".</p>
Transgenic A53T mice have astrocytic -synuclein aggregates in dopamine and striatal regions
<p>Statistical analysis carried out on astrocyte quantification data derived from 6 month transgenic A53T PD mice. </p>
Transgenic A53T mice have astrocytic a-synuclein aggregates in dopamine and striatal regions
<p>Statistical analysis carried out on astrocyte quantification data derived from 6 month transgenic A53T PD mice. </p>
ROSMAP meQTL Results for Astrocytes with regionalpcs and averages
<p>This dataset contains methylation quantitative trait loci (meQTL) results for the following study:</p> <p><strong><em>"regionalpcs improve discovery of DNA methylation associations with complex traits"</em></strong></p> <p>Tiffany Eulalio*<sup>1</sup>, Min Woo Sun<sup>1</sup>, Olivier Gevaert<sup>1</sup>, Michael D. Greicius<sup>2</sup>, Thomas J. Montine<sup>3</sup>, Daniel Nachun*‡<sup>3</sup>, Stephen B. Montgomery*‡<sup>1,3</sup></p> <p>‡ These authors contributed equally as senior authors</p> <p>* Corresponding authors: Tiffany Eulalio (<a href="mailto:eulalio@alumn.stanford.edu">eulalio@alumn.stanford.edu</a>), Daniel Nachun (<a href="mailto:dnachun@stanford.edu">dnachun@stanford.edu</a>), Stephen B. Montgomery (<a href="mailto:smontgom@stanford.edu">smontgom@stanford.edu</a>)</p> <p> Author affiliations:</p> <p>1. Department of Biomedical Data Science, Stanford University, Stanford, CA</p> <p>2. Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA</p> <p>3. Department of Pathology, Stanford University, Stanford, CA</p> <p> </p> <p><strong>Dataset description</strong>:</p> <p>This dataset contains QTL results generated from FastQTL, organized by region type (full gene, gene body, preTSS, and promoters) and summary types (averages and regional principal components).</p> <p><strong>Contents:</strong></p> <ul> <li><strong>Parquet tar files</strong>: These compressed archives contain output files in Parquet format from FastQTL, split by chromosome. <code>parquet1</code> includes chromosomes 1-10, and <code>parquet2</code> includes chromosomes 11-22.</li> <li><strong>cis_qtl_summary_stats.csv</strong>: Provides summary statistics for each phenotype-variant pair, including effect sizes, p-values, TSS distances, and additional details.</li> <li><strong>cis_qtl.signif_pairs.csv</strong>: Contains the significant QTL results identified by FastQTL.</li> <li><strong>cis_qtls.time_to_run.txt</strong>: Reports the running time for FastQTL analysis.</li> <li><strong>cis_qtls.cis_qtl.txt.gz</strong>: Contains comprehensive results for all cis QTLs.</li> </ul> <p>This dataset is intended to support replication and further exploration of QTL associations across different genomic regions and summary methods.</p>
Glioblastoma-astrocytes coculture data
<p>This dataset largely contains values pertaining to how migration from tumor spheroids in different coculture configurations with human astrocytes was measured. The data present relate to sphere size, the migration capacity or area %, and the adjusted migration distance or ad-distance of samples ranging over several days of measurements.</p> <p>Files are labeled to reflect data matching specific figure numbers. </p> <p>Most of the numerical data is derived from images that were initially batch processed in R using known packages and further processed manually in ImageJ and quantified. </p> <p>The Nanostring data represents gene expression results and needs to be further processed.</p>
Dataset related to article "MASSIVE IRON ACCUMULATION IN PKAN-DERIVED NEURONS AND ASTROCYTES: LIGHT ON THE HUMAN PATHOLOGICAL PHENOTYPE"
<p>The database contains the microxygraphy data included in the article at title</p>
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.