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484 results for “T cell exhaustion”
Peripheral T-cell profiling reveals downregulated exhaustion marker and increased diversity in lymphedema post-lymphatic venous anastomosis
<p>In this study, we compared T cell receptor (TCR) repertoire diversity between patients with lymphedema, post-lymphatic venous anastomosis and healthy controls (HCs). TCR diversity was decreased in lymphedema compared with HCs; such TCR skewing was drastically improved in post-LVA.</p>
KLF2 maintains lineage fidelity and suppresses CD8 T cell exhaustion during acute LCMV infection (LCMV DSM scRNA data and ATAC-seq)
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KLF2 maintains lineage fidelity and suppresses CD8 T cell exhaustion during acute LCMV infection (PerturbSeq Data)
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Dataset: 2D particle-in-cell (PIC) simulation of the magnetic reconnection for the paper "Electron mixing and isotropization in the exhaust of asymmetric magnetic reconnection with a guide field"
<p>This repository contains pubilicly available numerical data of a 2D magnetic reconnection event, which includes the field data and plasma moment data. The simulation is performed with the VPIC code. The simulated data are used for the paper "Electron mixing and isotropization in the exhaust of asymmetric magnetic reconnection with a guide field". </p>
Impact of CD4 T cells on intratumoral CD8 T cell exhaustion and responsiveness to PD-1 blockade therapy in mouse brain tumors
<p>scRNA-seq data (Cellranger filtered feature-barcode matrices) and scVDJ-seq data (Cellranger filtered_contig_annotations.csv files) for publication listed above.</p>
Spatial dynamics of CD39⁺CD8⁺ exhausted T cells reveal tertiary lymphoid structures-mediated response to PD-1 blockade in esophageal cancer
<p><strong>Data related to the paper</strong>: <em>"Spatial dynamics of CD39+CD8+ exhausted T cells reveal tertiary lymphoid structures-mediated response to PD-1 blockade in esophageal cancer,”</em> <em>Nature Communications</em> (2024)</p> <p>The repository data consists of two main folders: <strong>IMC_dataset</strong> and <strong>MC_normalized_dataset</strong>.</p> <p><strong>IMC_dataset</strong> includes:</p> <ol> <li> <p><strong>IMC_denoised_dataset</strong>: This folder contains cell mask images and noise-reduced images for each sample.</p> </li> <li> <p><strong>IMC_raw_dataset</strong>: This folder contains raw, unprocessed data.</p> </li> <li> <p><strong>IMC_processed_data</strong>: This folder contains standardized single-cell information and spillover-corrected FCS files, along with the compensation matrix.</p> </li> </ol> <p>The <strong>MC_normalized dataset</strong> includes FCS files that have been sorted by barcode.</p> <p><strong>Please note</strong> that in the IMC dataset, the following mass channels are blank:</p> <ul> <li><strong>Tumor-ROI</strong>: 80Ar, 127I, 131Xe, 145Nd, 146Nd, 149Sm, 160Gd, 171Yb, 174Yb, 176Yb, 190Os</li> <li><strong>SLO-ROI</strong>: 80Ar, 127I, 131Xe, 145Nd, 146Nd, 149Sm, 160Gd, 176Yb, 190Os</li> </ul> <p>The names attached to the file names are IDs.</p>
Presence of tertiary lymphoid structures and exhausted tissue-resident T cells determines clinical response to PD-1 blockade in renal cell carcinoma
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Data from: Allospecific splenic Tr1 cells drive effector T cell exhaustion through upregulated Areg-EGFR signaling to promote transplant tolerance
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Selective control of transposable element expression during T cell exhaustion and anti-PD1 treatment
<p>Supplementary data from (Bonté et al.) which contains Human and Mouse RNA-seq data including : </p> <ul> <li><strong>Raw counts and TPM/FPKM expression matrices of data analyzed </strong>(genes, individual TEs, TE subfamilies) <ul> <li>raw.counts / fpkm.count / tpm.counts rds files</li> </ul> </li> <li><strong>SQuiRE raw output files </strong> <ul> <li>SQuiRE.results rds files</li> </ul> </li> <li><strong>Seurat processed single cell object</strong> (with genes, TEs, Subfamilies) <ul> <li>SC.object rds files</li> </ul> </li> </ul> <p>In details, Mouse and Human data are labelled as follows :</p> <ul> <li><strong>Mouse.SC :</strong> <ul> <li><strong>Type of data</strong> : Single cell RNA-seq data of sorted CD8+ TILs (model B16 melanoma tumors )</li> <li><strong>Label of samples </strong>: Naïve like, Early activated, EffectorMemory, Tpex, Tex</li> <li><strong>Origin of the data</strong> : S. J. Carmona, I. Siddiqui, M. Bilous, W. Held, D. Gfeller, Deciphering the transcriptomic landscape of tumor-infiltrating CD8 lymphocytes in B16 melanoma tumors with single-cell RNA-Seq. Oncoimmunology 9, 1737369 (2020).</li> </ul> </li> <li><strong>Mouse.tumor.TILs :</strong> <ul> <li><strong>Type of data</strong> : bulk RNA-seq data of sorted CD8+ TILs (model B16 melanoma tumors)</li> <li><strong>Label of samples </strong>: Tumor Slamf6+ or Tumor Tim3+</li> <li><strong>Origin of the data</strong> : B. C. Miller<em> et al.</em>, Subsets of exhausted CD8+ T cells differentially mediate tumor control and respond to checkpoint blockade. <em>Nature Immunology</em> <strong>20</strong>, 326-336 (2019).</li> </ul> </li> <li><strong>Mouse.LCMV.TILs :</strong> <ul> <li><strong>Type of data</strong> : bulk RNA-seq data of sorted CD8+ TILs (model LCMV clone 13)</li> <li><strong>Label of samples </strong>: LCMV Slamf6+ or LCMV Tim3+</li> <li><strong>Origin of the data</strong> : B. C. Miller<em> et al.</em>, Subsets of exhausted CD8+ T cells differentially mediate tumor control and respond to checkpoint blockade. <em>Nature Immunology</em> <strong>20</strong>, 326-336 (2019).</li> </ul> </li> <li><strong>Mouse.LCMV_Fli1.TILs :</strong> <ul> <li><strong>Type of data</strong> : bulk RNA-seq data of sorted CD8+ TILs (model LCMV clone 13)</li> <li><strong>Label of samples </strong>: WT or Fli1KO</li> <li><strong>Origin of the data</strong> : Z. Chen<em> et al.</em>, In vivo CD8(+) T cell CRISPR screening reveals control by Fli1 in infection and cancer. <em>Cell</em> <strong>184</strong>, 1262-1280 e1222 (2021).</li> </ul> </li> <li><strong>Human.TILs </strong>: <ul> <li><strong>Type of data</strong> : bulk RNA-seq data of sorted CD8+ TILs (NSCLC tumor tissue )</li> <li><strong>Label of samples </strong>: Tex or Tpex</li> <li><strong>Origin of the data</strong> : Bonté et al. (ongoing submission)</li> </ul> </li> </ul> <p> </p> <p>Type of features is labeled as follows:</p> <ul> <li><strong>Gene expression</strong> : genes</li> <li><strong>Individual TE expression</strong> : TEs</li> <li><strong>TE subfamiliy expression</strong> : SF</li> </ul> <p>Metadata corresponding to each expression matrix can be found <a href="https://github.com/pebonte/TE_TILs">here</a>.</p> <p> </p>
Pro-vascular Regenerative Cell Exhaustion in Women With Polycystic Ovarian Syndrome
ClinicalTrials.gov study NCT05410834. IPD Sharing: UNDECIDED. Countries: 1. Publications: 18.
Circulating Vascular Regenerative Cell Exhaustion in Individuals Without Type 2 Diabetes Who Are of South Asian or European Origins
ClinicalTrials.gov study NCT06769347. IPD Sharing: UNDECIDED. Countries: 1. Publications: 12.
Functional Investigation of Endothelial Function and Regenerative Cell Exhaustion
ClinicalTrials.gov study NCT06108388. IPD Sharing: NO. Countries: 1. Publications: 25.
18FDG PET for Early Identification of Tumor Exhaust for Immunotherapy in Patients With Locally Advanced or Metastatic Non-Small Cell Bronchopulmonary Carcinoma or Melanoma
ClinicalTrials.gov study NCT03584334. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Vascular Regenerative Cell Exhaustion in Adults with Peripheral Artery Disease (PAD-VRCE)
ClinicalTrials.gov study NCT06626646. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.
Functional Exhaustion of T Cells in COVID19 Patients
ClinicalTrials.gov study NCT04470323. IPD Sharing: NO. Countries: 1. Publications: 5.
Abrogation of Chronic Monoclonal Antibody Treatment-induced T-cell Exhaustion With DURVALUMAB in Advanced HER-2 Negative Breast Cancer
ClinicalTrials.gov study NCT02802098. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
The Role of South Asian vs European Origins on Circulating Regenerative Cell Exhaustion
ClinicalTrials.gov study NCT05253521. IPD Sharing: UNDECIDED. Countries: 1. Publications: 16.
Continuous expression of TOX safeguards exhausted CD8 T cell epigenetic fate
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scRNA-seq reveals an immune microenvironment and JUN-mediated NK cell exhaustion in relapsed T-ALL
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Spatiotemporal co-dependency between macrophages and exhausted CD8 + T cells in cancer
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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.