Skip to main content
Powered by ShareScore

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.

171

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

171 results for “blood-brain barrier”

Learn how ShareScore rates datasets ↗
zenodo40/100

Real-time monitoring of a 3D blood-brain barrier model maturation and integrity with a sensorized microfluidic device

<p><span>A significant challenge in the treatment of central nervous system (CNS) disorders is represented by the presence of the blood-brain barrier (BBB), a highly selective membrane that regulates molecular transport and restricts the passage of pathogens and therapeutic compounds. Traditional <em>in vivo</em> models are constrained by high costs, lengthy experimental timelines, ethical concerns, and interspecies variations. <em>In vitro</em> models, particularly microfluidic BBB-on-a-chip devices, have been developed to address these limitations. These advanced models aim to more accurately replicate human BBB conditions by incorporating human cells and physiological flow dynamics. In this framework, here we developed an innovative microfluidic system that integrates thin-film electrodes for non-invasive, real-time monitoring of BBB integrity using electrochemical impedance spectroscopy (EIS). EIS measurements showed frequency-dependent impedance changes, indicating BBB integrity and distinguishing well-formed from non-mature barriers. The data from EIS monitoring was confirmed by permeability assays performed with a fluorescence tracer. The model incorporates human endothelial cells in a vessel-like arrangement to mimic the vascular component and three-dimensional cell distribution of human astrocytes and microglia to simulate the parenchymal compartment. By modeling the BBB-on-a-chip with an equivalent circuit, a more accurate trans-endothelial electrical resistance (TEER) value was extracted. The device demonstrated successful BBB formation and maturation, confirmed through live/dead assays, immunofluorescence and permeability assays. Computational fluid dynamics (CFD) simulations confirmed that the device mimics <em>in vivo</em> shear stress conditions. Drug crossing assessment was performed with two chemotherapy drugs: doxorubicin, with a known poor BBB penetration, and temozolomide, conversely specific drug for CNS disorders and able to cross the BBB, to validate the model predictive capability for drug crossing behavior. The proposed sensorized microfluidic device represents a significant advancement in BBB modeling, offering a versatile platform for CNS drug development, disease modeling, and personalized medicine.</span></p>

opencc-by-4.0Oct 2024View details →
zenodo40/100

Metabolomic Profile of Cerebral Tissue After Blood-Brain Barrier Opening using Microbubble-Assisted Ultrasound: A Focus on Contralateral Side.

<p>Microbubble (MB)-assisted ultrasound (US) is an innovative modality for the non-invasive, targeted and efficient delivery of the therapeutic molecules into the brain. Previously, we reported the first metabolomic signature of blood-brain barrier opening (BBBO) induced by MB-assisted US. In the present study, the neurometabolic consequences of acoustically mediated BBBO on cerebral tissue using multimodal metabolomics approaches. Sinusoid US waves (1 MHz, peak negative pressure 0.6 MPa, burst length 10 ms, total treatment time 30 s, MB bolus dose 0.7 10<sup>5</sup> MBs/g) were applied on the right striatum (ipsilateral side). Brain was collected and both striata were then dissected 3 h, 2 days and 1 week after BBBO. &nbsp;After tissue preparation, the samples were analyzed using nuclear magnetic resonance spectrometry (NMRS) and high-performance liquid chromatography coupled to mass spectrometry (HPLC-MS). Our findings showed a slight disruption of metabolic pathways in contralateral striata of animals. Analyses of metabolic pathways indicated change of amino acid metabolisms. In addition, tryptophan derivate dosages revealed the perturbation of a central metabolite of the kynurenin pathway (<em>i.e.</em>, 3-hydroxykynurenin). In conclusion, the acoustically mediated BBBO of the ipsilateral cerebral hemisphere induced significant change in metabolism of contralateral one.</p>

opencc-by-4.0Oct 2023View details →
zenodo40/100

Data pertaining to the published article "Quantitative T1 mapping detects blood-brain barrier breakdown in apparently non-enhancing multiple sclerosis lesions" by Donatelli et al., 2023.

<p>Data pertaining to the published article "Quantitative T1 mapping detects blood-brain barrier breakdown in apparently non-enhancing multiple sclerosis lesions" by Donatelli et al., NeuroImage: Clinical (2023).&nbsp;</p><p>PMID: <strong>37717382; </strong>PMCID: <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/pmc10514220/">PMC10514220</a>; DOI: <a href="https://doi.org/10.1016/j.nicl.2023.103509">10.1016/j.nicl.2023.103509</a></p>

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

Raw data to "Specialized pro-resolving lipid mediators are differentially altered in peripheral blood of patients with multiple sclerosis and attenuate monocyte and blood-brain barrier dysfunction"

<p>Background: Lack of resolution of inflammation may be considered a critical player for the onset and progression of multiple sclerosis. To demonstrate this we extracted lipids from plasma samples of healthy donors and MS patients and we quantified over 65 lipid mediators (LMs) through LC-MS-MS using signature diagnostic ions via multiple reaction monitoring.</p> <p>Results: Out of the 65 lipid mediators analyzed, only 42 were detected and out of those only 27 were finally revealed to show differences between healthy subjects and MS patients. These 27 LMs belonged to the arachidonic (AA), docosahexaenoic (DHA) or eicosapentaenoic (EPA) acid metabolomes and we could clusterize each form of MS into a specific profile by means of principal component analysis. Altogether, compared to healthy subjects, MS patients showed a strong production of several AA-derived eicosanoids (i.e. PGE2, PGD2 and PGF2a) (Fig.1D) and a little production of two DHA-derived pro-resolving mediators (SPMs), i.e. Protectin D1 (D1) and protectin DX (PDX) (Fig.1A). However, no production of DHA-derived resolvins and maresins (Fig. 1B) as well as EPA-derived resolvins (Fig.1 C) was observed.</p> <p>When stratifying MS patients according to disease form, both relapsing MS patients showed production of only two pro-resolving mediators (SPMs), i.e. Resolvin D1 (RvD1) and Protectin D1 (D1) compared to healthy subjects, whereas remitting MS patients showed a production of only few AA- and DHA-derived metabolic pathway markers and progressive MS patients a strong production of several eicosanoids as well as other metabolic pathway markers.</p> <p>Conclusions: These data suggest that along disease progression, there is a lack of production of anti-inflammatory and pro-resolving lipid mediators associated to a higher production of pro-inflammatory ones.</p>

opencc-by-4.0Apr 2020View details →
dryad36/100

Whole-transcriptome sequencing identifies neuroinflammation, metabolism and blood-brain barrier related processes in the hippocampus of aged mice during perioperative period

<p><span><strong>Aim</strong>:</span><span> Perioperative neurocognitive disorders (PND) occur frequently after surgery and anesthesia, especially in aged patients. Previous studies have shown multiple PND related mechanisms in the hippocampus, however, their relationships remain unclear. Meanwhile, the perioperative neuropathological processes are sophisticated and changeable, single period study could not reveal the accurate mechanisms. Thus, multiperiod whole-transcriptome study is necessary to elucidate the gene expression patterns during perioperative period.</span></p> <p><span><strong>Methods</strong>: </span><span>Aged</span><span> C57BL/6 mice were subjected to exploratory laparotomy under sevoflurane anesthesia. Whole-transcriptome sequencing (RNA-seq analysis) was performed on the hippocampi from control condition (Con), 30 minutes (Day0), 2 days (Day2) and 7 days (Day7) after surgery. Gene Ontology</span><span>/Kyoto Encyclopedia of Genes and Genomes analyses,</span><span> quantitative Real-Time PCR, immunofluorescence and fear conditioning test were also performed to elucidate the pathological processes and modulation networks during the period.</span></p> <p><span><strong>Results</strong>: </span><span>Through RNA-seq analysis, 328, 3597 and 4179 differentially expressed genes (DEGs) were screened out in intraoperative period (Day0 vs Con), early postoperative period (Day2 vs Day0) and late postoperative period (Day7 vs Day2). The involved GO biological processes were divided into 9 categories, and positive-regulated processes were more than negative-regulated ones. Seventy-four transcription factors were highlighted. The potential synaptic and neuroinflammatory pathways were constructed for Neurotransmitter, Synapse and Neuronal alteration categories with 9 DEGs (<em>Htr1a, Rims1, Ezh2,</em> etc.). The metabolic and mitochondrial pathways were constructed for Metabolism, Oxidative stress and Biological rhythm categories with 9 DEGs (<em>Gpld1, Sirt1, Cry2, </em>etc.). The blood-brain barrier and neurotoxicity related pathways were constructed for Blood-brain barrier, Neurotoxicity and Cognitive function categories with 10 DEGs (<em>Mmp2, Itpr1, Nrf1, </em>etc.).</span></p> <p><span><strong>Conclusion</strong>:</span><span> The results revealed gene expression patterns and modulation networks in the aged hippocampus during perioperative period, which provide insights into overall mechanisms and potential therapeutic targets for prevention and treatment of perioperative central nervous system diseases, such as PND, from the genetic level.</span></p>

opencc-zeroJun 2022View details →
dryad36/100

BBB permeability, sleep and qRT-PCR data for: The Drosophila blood-brain barrier regulates sleep via moody GPCR signaling

<p class="MsoNormal"><span>Sleep is vital for most animals, yet its mechanism and function remain unclear. We found that permeability of the BBB–the organ required for maintenance of homeostatic levels of nutrients, ions, and other molecules in the brain–is modulated by sleep deprivation and can cell-autonomously effect sleep changes. We observed increased BBB permeability in </span>known<span> sleep mutants as well as in acutely sleep deprived animals. In addition to molecular tracers, sleep deprivation-induced BBB changes also increased penetration of drugs used in the treatment of brain pathologies. After chronic</span>/<span> genetic or acute sleep deprivation, rebound sleep or administration of the sleeping aid gaboxadol normalized BBB permeability, showing that sleep deprivation effects on the BBB are reversible. Along with BBB permeability, RNA levels of the BBB master regulator <em>moody</em> are modulated by sleep. Conversely, altering BBB permeability alone through glia-specific modulation of <em>moody, gαo, loco, lachesin</em>, or <em>neuroglian</em> – each a well-studied regulator of BBB function – was sufficient to induce robust sleep phenotypes. These studies demonstrate a tight link between BBB permeability and sleep and indicate a novel role for the BBB in the regulation of sleep. </span></p>

opencc-zeroSep 2023View details →
ClinicalTrials.gov36/100

Non-invasive Blood-brain Barrier Opening in Alzheimer's Disease Patients Using Focused Ultrasound

ClinicalTrials.gov study NCT04118764. IPD Sharing: NO. Countries: 1. Publications: 4.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Role of the Blood-Brain Barrier in Stress Resilience: Investigating New Pathways Towards Pharmacological Augmentation of Stress Resilience

ClinicalTrials.gov study NCT06965868. IPD Sharing: YES. Countries: 3. Publications: 4.

controlledIPD-YESFeb 2026View details →
dryad36/100

BBB permeability, sleep and qRT-PCR data for: The Drosophila blood-brain barrier regulates sleep via moody GPCR signaling

Open the record for dataset details and reuse information.

publicSep 2023View details →
dryad36/100

Whole-transcriptome sequencing identifies neuroinflammation, metabolism and blood-brain barrier related processes in the hippocampus of aged mice during perioperative period

Open the record for dataset details and reuse information.

publicJun 2022View details →
dryad32/100

Data from: Apolipoprotein M-bound sphingosine-1-phosphate regulates blood-brain barrier paracellular permeability and transcytosis

The blood-brain barrier (BBB) is formed by the endothelial cells lining cerebral microvessels. Here, we report that the BBB permeability is modified by apolipoprotein M (apoM)-bound sphingosine 1–phosphate (S1P). We used two-photon microscopy to monitor changes in BBB permeability in apoM-deficient mice (apoM-/-), showing significant increases in paracellular BBB permeability to small molecules without structural changes in junctional complexes between endothelial cells. Lack of apoM-bound S1P increased vesicle-mediated transfer of albumin across endothelium of brain pial and penetrating arterioles, whereas transcytosis in capillaries and venules remained unchanged. S1PR1 agonist SEW2871 rapidly normalized BBB permeability along both the paracellular and transcellular routes in apoM-/- mice. Thus, apoM-bound S1P maintains low paracellular BBB permeability for small molecules in all cerebral microvessels and low levels of adsorptive transcytosis in penetrating arterioles. Modulation of apoM/S1P-dependent signaling may be a novel strategy for the protection of brain endothelial cells to preserve the BBB function.

opencc-zeroFeb 2020View details →
zenodo32/100

Innovative Strategies for Blood-Brain Barrier (BBB) Permeability Modeling: Harnessing the Power of Machine Learning-based q-RASAR Approach

<p>In the current research, we have unveiled an advanced technique termed the quantitative Read-Across Structure-Activity Relationship (q-RASAR) framework to harnesses the power of machine learning (ML) for significantly enhancing the precision of predictions related to blood-brain barrier (BBB) permeability. It is important to emphasize that the central objective of this study is not to introduce another model for predicting BBB permeability. Instead, our focus is on highlighting the improvement in predicting the BBB permeability of organic compounds by introducing the q-RASAR approach. This innovative methodology strives to enhance the precision of evaluating neuropharmacological implications and streamline the drug development process. In this investigation, we developed an ML-based q-RASAR PLS model using a dataset comprising 1012 compounds of diverse classes of heterocyclic and aromatic hydrocarbons, obtained from the freely accessible B3DB database (accessible at <a href="https://github.com/theochem/B3DB">https://github.com/theochem/B3DB</a>) to predict BBB permeability during the lead discovery phase for central nervous system (CNS) drugs. The model's predictive capability underwent validation using two external sets, encompassing a total of 1,130,315 compounds, including synthetic compounds and natural products (NPs) for data gap filling and other two external sets comprising 116 drug-like/drug compounds from FDA and ChEMBL databases to assess the model's reliability. This study aimed to bridge the data gap by employing a predictive model to estimate the impact of brain-plasma concentration ratios on BBB permeability for both synthetic compounds and natural products (NPs). To further enhance predictability, we have developed various other ML-based q-RASAR models. The insights from the developed model highlight the pivotal roles played by hydrophobicity, electronic effects, degree of ionization and steric factors as essential features facilitating the traversal of the blood-brain barrier. This research not only advances our understanding of the molecular determinants influencing the permeability of central nervous system drugs but also establishes a versatile computational platform for the rapid assessment of diverse compounds, facilitating informed decision-making in the realms of drug development and design.</p>

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

Datasets generated and/or analysed for paper entitled: "Oxysterol 7α,25OHC synthesising enzymes, CH25H and CYP7B1, are upregulated in the blood-brain barrier during inflammation"

<p>Images collected and datasets generated and/or analyzed for a paper entitled: &quot;Oxysterol 7&alpha;,25OHC synthesising enzymes, CH25H and CYP7B1, are upregulated in the blood-brain barrier during inflammation&quot;</p>

opencc-by-4.0Feb 2022View details →
ClinicalTrials.gov32/100

Safety and Efficacy of Transient Opening of the Blood-brain Barrier (BBB) With the SonoCloud-9

ClinicalTrials.gov study NCT03744026. IPD Sharing: NO. Countries: 2. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

MRI Study of Blood-brain Barrier Function in CADASIL

ClinicalTrials.gov study NCT05902039. IPD Sharing: NO. Countries: 1. Publications: 7.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Regulation of Blood-Brain Barrier Permeability by APOE Gene Polymorphism and Its Impact on Cognitive Function Post-Radiotherapy in Nasopharyngeal Carcinoma: an MRI Study

ClinicalTrials.gov study NCT06881225. IPD Sharing: NO. Countries: 1. Publications: 10.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Blood-Brain Barrier Disruption Using Transcranial MRI-Guided Focused Ultrasound

ClinicalTrials.gov study NCT02343991. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

The Use of Focused Ultrasound and DCE K-trans Imaging to Evaluate Permeability of the Blood-Brain Barrier

ClinicalTrials.gov study NCT04063514. IPD Sharing: Not stated. Countries: 1. Publications: 11.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

ExAblate Blood-Brain Barrier (BBB) Disruption for the Treatment of Alzheimer's Disease

ClinicalTrials.gov study NCT03671889. IPD Sharing: NO. Countries: 1. Publications: 4.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Assessment of Safety and Feasibility of ExAblate Blood-Brain Barrier (BBB) Disruption

ClinicalTrials.gov study NCT03551249. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

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