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2,292 results for “glioma”
Single-nucleus Transcriptomics of IDH1- and TP53-mutant Glioma Stem Cells Displays Diversified Commitment on Highly Invasive Cancer Progenitors
<p><strong>Fig. S1</strong>. <strong>Marker genes for Seurat clusters.</strong> (<strong>A</strong>) distribution of marker genes for cluster 0 on the 2D-UMAP space. (<strong>B</strong>) distribution of marker genes for cluster 1 on the 2D-UMAP space. (<strong>C</strong>) distribution of marker genes for cluster 2 on the 2D-UMAP space. (<strong>D</strong>) distribution of marker genes for cluster 3 on the 2D-UMAP space. (<strong>E</strong>) distribution of marker genes for cluster 4 on the 2D-UMAP space. (<strong>F</strong>) distribution of marker genes for cluster 5 on the 2D-UMAP space. (<strong>G</strong>) Stuck violin plot of marker gene expression for Seurat clusters (bottom panel) and their annotation (right side panel). The violin shape displays the number of the cells expressing a gene, the continuous color panel defines median expression value of a gene from the absence of expression (white) to high expression (dark blue).</p> <p><strong>Fig. S2</strong>. <strong>Expression of genes marking cell malignization.</strong> (<strong>A</strong>) expression of collagens in Surat clusters (bottom panel) (<strong>B</strong>) expression of genes linked to Migration and ECM in Surat clusters (bottom panel) (<strong>C</strong>) expression of genes classified as Proto-oncogenes in Surat clusters (bottom panel). The violin shape displays the number of the cells expressing a gene, the violin color defines the Seurat cluster. Gene expression displayed in log-transformed normalized expression values.</p> <p><strong>Fig. S3</strong>. <strong>Expression of genes involved in proliferation and survival of cancer cells.</strong> (<strong>A</strong>) Genes involved in Wnt-pathway in Surat clusters (bottom panel). (<strong>B</strong>) Genes involved in Akt-pathway in Surat clusters (bottom panel). (<strong>C</strong>) Genes inducing resistance to cancer therapeutics in Surat clusters (bottom panel). The violin shape displays the number of the cells expressing a gene, the violin color defines the Seurat cluster. Gene expression displayed in log-transformed normalized expression values.\</p> <p><strong>Fig. S4</strong>. <strong>Expression of genes marking CSC profile.</strong> (<strong>A</strong>) Ion channel genes in Surat clusters (bottom panel). (<strong>B</strong>) Antioncogenes in Surat clusters (bottom panel). <strong>C</strong>. Stem-cell genes in Surat clusters (bottom panel). (<strong>D</strong>) Antiapoptotic genes in Surat clusters (bottom panel). The violin shape displays the number of the cells expressing a gene, the violin color defines the Seurat cluster. Gene expression displayed in log-transformed normalized expression values.</p> <p><strong>Fig. S5</strong>. <strong>Genes differentially expressed between UMAP clusters</strong>. (<strong>A</strong>) Heatmap for wt-GSCs. (<strong>B</strong>) Heatmap for mt-GSCs. Upper colour panel in the heatmap designates Seurat clusters. Gene expression is indicated by continuous colour panel starting from the most downregulated (blue) to the most upregulated (red).</p> <p><strong>Fig. S6</strong>. <strong>Marker genes defying cell annotations</strong>. (<strong>A</strong>) Stack violin plot displays marker gene expression in wt-GSC clusters. (<strong>B</strong>) Stack violin plot displays marker gene expression in mt-GSC clusters. Genes grouped by cell annotations (side description) and UMAP clusters (down column bar). The violin shape displays the number of the cells expressing a gene, the continuous color panel defines median expression value of a gene from the absence of expression (white) to high expression (dark blue).</p> <p><strong>Fig. S7</strong>. <strong>Differentially expressed proliferation and adhesion pathways comparing mutant samples to wild type.</strong> (<strong>A</strong>) ERBB signalling pathway. (<strong>B</strong>) Wnt signalling pathway. (<strong>C</strong>) Genes linked to Focal adhesion. (<strong>D</strong>) Genes classified as Cell adhesion molecules. Red rectangles display upregulated genes (proteins), green rectangles define downregulated genes (proteins). Pictures obtained by KEGG pathview.</p> <p><strong>Table S1. Glioma genotyping primers</strong></p> <p><strong>Table S2. Smart-seq2 Primers</strong></p>
The dataset of early mortality in patient with surgically treated recurrent lower grade glioma
<p>The dataset is the record of recurrent lower grade glioma (LGG), with hematological and oncological markers. Meanwhile, an online calculator has been generated to predict early mortality in patient with surgically treated recurrent LGG, the R studio code used has also been uploaded.</p>
Screening of key risk SNPs for glioma based on machine learning algorithms
<p>Glioma is a common primary malignant brain tumor and is the most aggressive and lethal solid tumor, accounting for approximately 80% of all intracranial malignancies. Our aim was to screen key SNP by LASSO regression and random forest (a machine learning algorithm) and construct a model based on these SNP to predict the risk of glioma in Chinese Han population.</p>
Fig. 2. 1H– 1H COSY correlations for compounds 6–10 and key HMBC correlations for compounds 1 and 6–10 in Iridoids and bis-iridoids from Valeriana jatamansi and their cytotoxicity against human glioma stem cells
Fig. 2. 1H– 1H COSY correlations for compounds 6–10 and key HMBC correlations for compounds 1 and 6–10.
Comprehensive analysis of the cuproptosis-related gene glutaminase across cancers: a potential prognostic therapeutic target for gliomas
<p><strong>Supplementary Table S1</strong> Clinical information of glioma patients.</p> <p><strong>Supplementary Table S2</strong> Top 100 genes associated with GLS.</p> <p><strong>Supplementary Table S3</strong> GO enrichment analysis data for GLS-associated genes.</p> <p><strong>Supplementary Table S4</strong> KEGG enrichment analysis data for GLS-associated genes.</p> <p><strong>Supplementary Table S5</strong> Antineoplastic drugs significantly associated with GLS.</p>
Repeated Neural Stem Cell Based Virotherapy for Newly Diagnosed High Grade Glioma
ClinicalTrials.gov study NCT06169280. IPD Sharing: NO. Countries: 1. Publications: 5.
A Study of 131I-TM601 in Adults With Recurrent Malignant Glioma
ClinicalTrials.gov study NCT00683761. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Imatinib Mesylate in Treating Patients With Gliomas
ClinicalTrials.gov study NCT00039364. IPD Sharing: Not stated. Countries: 7. Publications: 1.
Combination Chemotherapy Plus Radiation Therapy in Treating Children With Newly Diagnosed Brain Stem Glioma
ClinicalTrials.gov study NCT00003935. IPD Sharing: Not stated. Countries: 6. Publications: 1.
AZD7451 for Recurrent Gliomas
ClinicalTrials.gov study NCT01468324. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Bevacizumab and Irinotecan in Treating Patients With Recurrent or Refractory Gliomas
ClinicalTrials.gov study NCT00268359. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Feasibility of Individualized, Model-guided Optimization of Proton Beam Treatment Planning in Patients With Low Grade Glioma
ClinicalTrials.gov study NCT05964569. IPD Sharing: NO. Countries: 1. Publications: 0.
Registry Study on Epidemiological and Biological Disease Profile as Well as Clinical Outcome in Patients With Low Grade Gliomas
ClinicalTrials.gov study NCT02686229. IPD Sharing: NO. Countries: 1. Publications: 1.
A Phase I/II Study of Zotiraciclib for Recurrent Malignant Gliomas With Isocitrate Dehydrogenase 1 or 2 (IDH1 or IDH2) Mutations
ClinicalTrials.gov study NCT05588141. IPD Sharing: YES. Countries: 1. Publications: 5.
Efficacy and Safety of Rivaroxaban in the Prevention of Venous Thromboembolism in Glioma Patients
ClinicalTrials.gov study NCT06196918. IPD Sharing: NO. Countries: 1. Publications: 17.
Randomized Phase III Study of Sequential Radiochemotherapy of Anaplastic Glioma With PCV or Temozolomide
ClinicalTrials.gov study NCT00717210. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Post-Marketing Surveillance of Long-Term Observation of Gliadel Wafer-Investigation of Vital Prognosis in Patients With High Grade Glioma
ClinicalTrials.gov study NCT02300506. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Abemaciclib Neuropharmacokinetics of Diffuse Midline Glioma Using Intratumoral Microdialysis
ClinicalTrials.gov study NCT05413304. IPD Sharing: YES. Countries: 1. Publications: 1.
Immunotherapy for Patients With Brain Stem Glioma and Glioblastoma
ClinicalTrials.gov study NCT00576641. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Navigating the Clinical Research Process for Glioma
ClinicalTrials.gov study NCT05958472. IPD Sharing: UNDECIDED. Countries: 1. 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.