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2,285
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Dataset results
2,285 results for “T-cells”
Virtual memory T-cells orchestrate extra-lymphoid responses conducive to resident memory
GEO Series GSE148364. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.
Microarray analysis of T-cell death-associated gene 8 (TDAG8)-mediated gene expression in mouse Lewis lung carcinoma (LLC) cells.
GEO Series GSE31776. Mus musculus. 10 samples. Type: Expression profiling by array.
Comparison of TCR, CAR, and CAR-like T-cells efficiency against the solid tumors
GEO Series GSE238194. Homo sapiens. 26 samples. Type: Expression profiling by array.
T-cell instructed monocyte activation is a key pathological feature in Ankylosing Spondylitis and provides novel therapeutic opportunities
GEO Series GSE232131. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
T-cell receptor/CD28-targeted Immunotherapeutics Generate Functional Melanoma- or HIV-specific Responses by Selectively Driving Naïve T-Cell Expansion
GEO Series GSE286286. Homo sapiens. 22 samples. Type: Other.
Engineering potent chimeric antigen receptor T cells by programming signaling during T-cell activation [RNA-seq]
GEO Series GSE269134. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Integrating Genomics, Transcriptomics, and T-Cell Biology: An RNA-seq Atlas of the Murine CD4+ Transcriptome
GEO Series GSE31555. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Global genetic profiling of a pediatric series of T-cell lymphoblastic lymphoma [Oncoscan]
GEO Series GSE178426. Homo sapiens. 12 samples. Type: Genome variation profiling by array; Genome variation profiling by SNP array.
CD4+CD+8 double positive T-cell mRNA expression profiles from patients with granulomatotis with polyangiitis (GPA) compared to healthy controls
GEO Series GSE56481. Homo sapiens. 18 samples. Type: Expression profiling by array.
Prognostic and predictive value of a microRNA signature in adults with T-cell lymphoblastic lymphoma
GEO Series GSE113749. Homo sapiens. 95 samples. Type: Non-coding RNA profiling by array.
Non-conventional β-catenin activity is essential for Notch1-driven T-cell leukemia
GEO Series GSE69158. Homo sapiens; Mus musculus. 26 samples. Type: Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing.
PHF6 OCCUPANCYIN HUMAN T-CELL ACUTE LYMPHOBLASTIC LEUKEMIA
GEO Series GSE45864. Homo sapiens. 1 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Gabriella Miller Kids First Pediatric Research Program in Pediatric T-Cell Acute Lymphoblastic Leukemia
The outcome for patients with relapsed T-ALL is dismal with 3-year event free survival of <15%. Thus, the primary goal in the treatment of T-ALL is to prevent relapse, which requires accurate risk stratification. Unfortunately, no genetic alterations have been identified to date that are reproducibly prognostic independent of minimal residual disease (MRD), making it difficult at diagnosis to identify which patients are more likely to relapse. AALL0434 was a Children's Oncology Group-initiated phase 3 randomized clinical trial comparing Capizzi-style escalating methotrexate plus pegaspargase (CMTX) vs. high dose methotrexate (HDMTX), with/without six 5-day courses of nelarabine. Survival on this study was superior to any prior trial for de novo T-ALL, changing the standard of care. Yet, a substantial minority (~15%) of patients had relapsed or refractory (r/r) disease. Through the TARGET initiative, RNA sequencing (RNA-Seq), DNA copy number analysis, and whole-exome sequencing (WES) were performed on 264 T-ALL patients treated on AALL0434, demonstrating recurrent alterations could be grouped into 10 different potentially targetable functional pathways. This analysis was not powered to examine associations between genetic lesions with outcome, because too few patients with r/r disease were included. This project is dedicated to testing the hypothesis that comprehensive genomic profiling of the entire AALL0434 cohort will identify recurrent genetic alterations that can be segregated into biologically relevant deregulated pathways that can be combined with MRD to identify patients at risk for poor outcomes before they relapse and provide rationale for treatment with alternative therapies. In addition, a number of small recent studies demonstrated that many of the biologically relevant alterations in T-ALL occur in non-coding regions of the genome, but no large studies have performed whole genome sequencing (WGS) in T-ALL. This project also tests the hypothesis that WGS of a large cohort of patients with T-ALL will identify novel lesions in coding and non-coding regions that will be highly impactful in the understanding of T-ALL pathogenesis. These hypotheses are tested by performing comprehensive genomic profiling (WGS, WES, RNA-Seq, and copy number analysis) of the entire AALL0434 cohort with available samples with the following specific aims: (1) identify recurrent genetic alterations that predict poor outcome in T-ALL; (2) identify novel alterations, including non-coding alterations in T-ALL; and (3) identify germline genetic variants that predispose to T-ALL and to increased toxicity to chemotherapy.
Identification and Targeting of Treatment Resistant Progenitor Populations in T-cell Acute Lymphoblastic Leukemia
Our goal with this study was to identify the mechanisms of treatment resistance in T-cell acute lymphoblastic leukemia (ALL) using single-cell genomics. We profiled 40 T-ALL cases from the Children's Oncology Group AALL0434 clinical trial using CITE-seq/snATAC-seq, capturing a breadth of immunophenotypes, including early T-cell precursor (ETP) and near-ETP/non-ETP subtypes. By integrating analyses of T-ALL cells with the normal T-cell developmental trajectory, the study identified a specific subgroup of leukemia cells resembling bone marrow progenitors (BMP-like cells). These BMP-like cells were associated with treatment failure and poor overall survival in T-ALL patients. Overall, this study reveals comprehensive multiomic signatures for rapidly assessing risk and tailoring targeted treatment for high-risk T-ALL patients.
Identification and Targeting of Treatment Resistant Progenitor Populations in T-cell Acute Lymphoblastic Leukemia
Open the record for dataset details and reuse information.
Treg cell by tumor-associated macrophage ROS and inflammatory signaling through T-cell NF-κB c-Rel drives pathogenesis of lung adenocarcinomas
GEO Series GSE132460. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Nanostring nCounter Mouse Immune Exhausstion Panel (T-cells only)
GEO Series GSE198519. Mus musculus. 9 samples. Type: Expression profiling by array.
Single-cell analysis unveils the age-related dynamics of human T-cell intrathymic development and peripheral homeostasis
<p><span>Source codes and files supporting the results in the article.</span></p>
Single-cell transcriptomics identifies synergistic role of leukemic and non-leukemic immune repertoires in CD8+ T-cell Large Granular Lymphocytic Leukemia
<p>Data to reproduce findings in the manuscript "Single-cell transcriptomics identifies synergistic role of leukemic and non-leukemic immune repertoires in CD8+ T-cell Large Granular Lymphocytic Leukemia". <br> <br> The folder contains:</p> <p>1) Processed scRNA+TCRab-seq data in a Seurat-folder, including </p> <p>* Object with 11 T-LGLL samples and 6 healthy samples<br> * Object with only hyperexpanded (>= 10 TCRs) T-cells from all T-LGLL samples and 6 healthy samples<br> * Object with only T-LGLL clones from 11 T-LGLL samples<br> * Object with non-leukemic repertoires from 11 T-LGLL samples, 6 healthy samples, 4 CML samples, 4 CLL samples, 2 RCC samples, and 1 NSCLC sample</p> <p><br> 2) TCRb-seq samples from CD8+ sorted peripheral blood samples from patients with CD8+ T-LGLL </p> <p>Please see manuscript and Github for further details.</p>
Link to dataset related to article "mRNA COVID-19 vaccine booster fosters B- and T-cell responses in immunocompromised patients"
<p>This record contains raw data related to article “mRNA COVID-19 vaccine booster fosters B- and T-cell responses in immunocompromised patients"</p> <p>SARS-CoV-2 vaccination has proven effective in inducing an immune response in healthy individuals and is progressively us allowing to overcome the pandemic. Recent evidence has shown that response to vaccination in some vulnerable patients may be diminished, and it has been proposed a booster dose. We tested the kinetic of development of serum antibodies to the SARS-CoV-2 Spike protein, their neutralizing capacity, the CD4 and CD8 IFN-γ T-cell response in 328 subjects, including 131 immunocompromised individuals (cancer, rheumatologic, and hemodialysis patients), 160 health-care workers (HCW) and 37 subjects older than 75 yr, after vaccination with two or three doses of mRNA vaccines. We stratified the patients according to the type of treatment. We found that immunocompromised patients, depending on the type of treatment, poorly respond to SARS-CoV-2 mRNA vaccines. However, an additional booster dose of vaccine induced a good immune response in almost all of the patients except those receiving anti-CD20 antibody. Similarly to HCW, previously infected and vaccinated immunocompromised individuals demonstrate a stronger SARS-CoV-2-specific immune response than those who are vaccinated without prior infection.</p>
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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.