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784
datasets available to search
ShareScore release 0.9.0
Dataset results
784 results for “CNS”
Long Term Outcomes of EV71 CNS Infection
ClinicalTrials.gov study NCT00172393. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Combination Chemotherapy Plus Radiation Therapy in Treating Patients With Primary CNS Lymphoma
ClinicalTrials.gov study NCT00003061. IPD Sharing: Not stated. Countries: 3. Publications: 2.
A Study of Lorlatinib in Advanced ALK and ROS1 Rearranged Lung Cancer With CNS Metastasis in the Absence of Measurable Extracranial Lesions
ClinicalTrials.gov study NCT02927340. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Nordic Study in Newly Diagnosed Primary Central Nervous System (CNS) Lymphoma
ClinicalTrials.gov study NCT01458730. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of Vinblastine and Sirolimus in Children With Recurrent/Refractory Solid Tumours Including CNS Tumours
ClinicalTrials.gov study NCT01135563. IPD Sharing: Not stated. Countries: 2. Publications: 1.
High-dose Chemotherapy and ASCT or Consolidating Conventional Chemotherapy in Primary CNS Lymphoma
ClinicalTrials.gov study NCT02531841. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Afatinib on CNS Metastases and LMD in EGFR Mutation Positive NSCLC
ClinicalTrials.gov study NCT03711422. IPD Sharing: NO. Countries: 1. Publications: 2.
Bruton's Tyrosine Kinase Inhibitor Ibrutinib as Maintenance Treatment in Elderly Patients With Primary CNS Lymphoma
ClinicalTrials.gov study NCT02623010. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Primary Mediastinal Large B-cell Lymphoma With CNS Involvement
ClinicalTrials.gov study NCT06024694. IPD Sharing: UNDECIDED. Countries: 1. Publications: 7.
Observational Study of Responses to Treatments in Advanced Central Nervous System (CNS) Tumors
ClinicalTrials.gov study NCT07374692. IPD Sharing: YES. Countries: 1. Publications: 3.
CHemoImmunotherapy With Early Central Nervous System (CNS) Prophylaxis
ClinicalTrials.gov study NCT01325194. IPD Sharing: Not stated. Countries: 4. Publications: 4.
Whole Brain Irradiation in Primary Central Nervous System (CNS) Lymphoma (PCNSL)
ClinicalTrials.gov study NCT00153530. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Aberrant oligodendroglial-vascular interactions disrupt the Blood Brain Barrier triggering CNS inflammation
Open the record for dataset details and reuse information.
Silhouette CNS Muscle
Drawing uploaded to scidraw.io on: 15 November 2019
Data from: Stabilization of primary cilia reduces abortive cell cyle re-entry to protect injured adult CNS neurons from apoptosis
Abortive cell cycle (ACC) re-entry of apoptotic neurons is a recently characterized phenomenon that occurs after central nervous system (CNS) injury or over the course of CNS disease. Consequently, inhibiting cell cycle progression is neuroprotective in numerous CNS pathology models. Primary cilia are ubiquitous, centriole-based cellular organelles that prevent cell cycling, but their ability to modulate abortive cell cycle has not been described. Here, we show that neuronal cilia are ablated in-vitro and in-vivo following injury by hypoxia or optic nerve transection (ONT), respectively. Furthermore, forced cilia resorption sensitized neurons to these injuries and enhanced cell death. In contrast, pharmacological inhibition or shRNA knockdown of the proteins that disassemble the cilia increased neuron survival and decreased the phosphorylation of retinoblastoma (Rb), a master switch for cell cycle re-entry. Our findings show that the stabilization of neuronal primary cilia inhibits apoptotic cell cycling, which has implications for future therapeutic strategies that halt or slow the progression of neurodegenerative diseases and acute CNS injuries.
Unveiling CNS Cell Morphology with Deep Learning: A Gateway to Anti-Inflammatory Compound Screening
<p>Understanding the connection between cellular structure and observable traits is vital for comprehending cell behavior, especially in neuropathological conditions. Current limitations exist in applying advanced image analysis, like deep learning, to central nervous system cells due to challenges such as the need for extensive labeled data, difficulty in detecting subtle changes, and the presence of batch effects. The study focuses on overcoming these issues in the context of neuroinflammation, utilizing a deep learning approach to effectively analyze morphological changes in neuronal and microglial cells. This innovative method aids in studying neuroinflammation, facilitating the screening of potential therapeutic compounds and bridging gaps in neuropathological research and pharmaceutical development.</p>
Spatially resolved transcriptomics and graph-based deep-learning improve accuracy of routine CNS tumor diagnostics
<p><span>The diagnostic landscape of brain tumors has recently evolved to integrate comprehensive molecular markers alongside traditional histopathological evaluation. Foremost, genome-wide DNA methylation profiling and next generation sequencing (NGS) has become a cornerstone in classifying Central Nervous System (CNS) tumors, as recognized by its inclusion into the 2021 WHO classification. Despite its diagnostic precision, a limiting requirement for NGS and methylation profiling is sufficient DNA quality and quantity which restricts its feasibility, especially in cases with small biopsy samples or low tumor cell content, both frequent challenges in specimen of diffusely growing CNS lesions. Addressing these challenges, we demonstrate a application, namely <strong>NePSTA </strong>(<strong>Ne</strong>uro<strong>P</strong>athology <strong><em>S</em></strong><em>patial <strong>T</strong>ranscriptomic<strong> A</strong>nalysis</em>), which is capable of generating comprehensive morphological and molecular neuropathological diagnostics from single 5 µm tissue sections. Our framework employs 10x Visium spatial transcriptomics with graph neural networks for automated histological and molecular evaluations. Trained and evaluated across 130 patients with CNS malignancies and healthy donors across four medical centers, NePSTA<strong> </strong>integrates spatial gene expression data and inferred CNAs to predict tissue histology and methylation-based subclasses with high accuracy. Further, we demonstrate the ability to reconstruct immunohistochemistry and genotype profiling on single thin slides of minute tissue biopsies. Our approach has minimal tissue requirements, often inadequate for conventional molecular diagnostics, demonstrating the potential to transform neuropathological diagnostics and enhance tumor subtype identification with implications for fast and precise diagnostic work-up.</span></p>
Imaging of Intravenous (IV) Combidex to Brain, Intra-cerebral Tumors and in Central Nervous System (CNS) Inflammation
ClinicalTrials.gov study NCT00659334. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Volitinib in Treating Patients With Recurrent or Refractory Primary CNS Tumors
ClinicalTrials.gov study NCT03598244. IPD Sharing: Not stated. Countries: 2. Publications: 0.
MRI Versus Four Dimensional Ultrasound in Detection of CNS Fetal Congenital Anomalies
ClinicalTrials.gov study NCT03888794. IPD Sharing: UNDECIDED. Countries: 0. Publications: 3.
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.