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2,470 results for “Acute Myeloid Leukemia”
Acute Myeloid Leukemia T Cell Depletion to Improve Transplants in Adults With Acute Myeloid Leukemia (BMT CTN 0303)
ClinicalTrials.gov study NCT00201240. IPD Sharing: YES. Countries: 1. Publications: 3.
Bortezomib and Sorafenib Tosylate in Treating Patients With Newly Diagnosed Acute Myeloid Leukemia
ClinicalTrials.gov study NCT01371981. IPD Sharing: Not stated. Countries: 5. Publications: 11.
Framework of clonal mutations concurrent with WT1 mutations in adults with acute myeloid leukemia (Alliance)
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Data from: Age-specific induction of mutant p53 drives clonal hematopoiesis and acute myeloid leukemia in adult mice
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Prognostic, biological, and structural implications of FLT3-JMD point mutations in acute myeloid leukemia: an analysis of Alliance studies
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Supplementary Data for "Convergent organization of aberrant MYB complexes controls oncogenic gene expression in acute myeloid leukemia"
<p>These files contain the computational analysis of sequencing data and mass spectrometry data for "Convergent organization of aberrant MYB complexes controls oncogenic gene expression in acute myeloid leukemia" by Takao, Forbes, Uni, and Kentsis et al.</p>
Synthetic Acute Myeloid Leukemia Patients - OMOP
<p>This synthetic AML dataset is the conversion of the previously published dataset (<a href="../records/8334265">https://zenodo.org/records/8334265</a>) to the OMOP format.</p>
Synthetic Acute Myeloid Leukemia Patients - FHIR
<p>This synthetic AML dataset is the conversion of the previously published dataset (<a href="../records/8334265">https://zenodo.org/records/8334265</a>) to the FHIR format.</p>
Supplementary data "Broad genomic workup including Optical Genome Mapping uncovers a DDX3X::MLLT10 gene fusion in Acute Myeloid Leukemia"
<pre>Supplementary data "Broad genomic workup including Optical Genome Mapping uncovers a DDX3X::MLLT10 gene fusion in Acute Myeloid Leukemia" - OGM Rare Variant Analysis for both time points extracted from Bionano Access RVP Analysis output folder: -> unfiltered annotated SV output -> unfiltered CNV output - Whole Exome Sequencing Gene Panel results as output by Varvis (Limbus) (CSV file) -> WES SNVs -> WES CNVs - Quality metrics + selected results: -> OGM; both time points -> Whole Exome Sequencing; time point 1</pre>
Supplementary Data for "Peptidomimetic blockade of MYB in acute myeloid leukemia"
<p>These files contain results of computational analysis of sequencing data, deposited in the Gene Expression Omnibus under the accession numbers GSE94242 and GSE107078:</p> <p> </p> <p>RNA-seq_data_MYBMIMvsControl.zip</p> <p>Supplementary Data S1: Analysis of gene expression of MOLM13 cells.</p> <p> </p> <p>ChIP-seq_data_gsea_reports.zip</p> <p>Supplementary Data S2: Analysis of MYB occupancy of MV411 cells</p> <p> </p> <p>H3K27Ac ChIP-seq normalized and peak counts.zip</p> <p>Supplementary Data S3: Analysis of H3K27Ac occupancy of MV411 cells</p> <p> </p> <p> </p>
Genetic mechanisms of primary chemotherapy resistance in pediatric acute myeloid leukemia: A report from the TARGET initiative
<p>Acute myeloid leukemias (AML) are characterized by distinct mutations of tumor suppressor and oncogenes, involving distinct genes in adults and children. While certain mutations have been associated with the increased risk of AML relapse the genomic landscape of primary chemotherapy resistant AML is not well defined. As part of the TARGET initiative, we performed whole-genome DNA sequencing, transcriptome RNA, and miRNA sequencing analysis of pediatric AML with failure of induction chemotherapy. We identified three distinct genetic groups of patients with induction failure, including those with <em>NUP98</em> rearrangements, somatic mutations of <em>WT1</em>, <em>ELF1</em>, <em>KMT2C</em>, <em>MLLT10,</em> and additional recurrent gene mutations, fusions, and structural rearrangements, some of which have been observed in other malignancies. Comparison of specimens before and after chemotherapy revealed distinct and invariant gene expression programs. While exhibiting gross therapy resistance, these leukemias had diverse forms of clonal evolution upon chemotherapy exposure. This included selection for mutant alleles of <em>FRMD8</em>, <em>DHX32</em>, <em>PIK3R1</em>, <em>SHANK3</em>, <em>MKLN1</em>, as well as persistence of <em>WT1</em> and <em>TP53</em> mutant clones, and elimination or contraction of <em>FLT3</em>, <em>PTPN11</em>, and <em>NRAS</em> mutant clones. These findings delineate genetic mechanisms of primary chemotherapy resistance in pediatric AML, which should inform improved approaches for its diagnosis and therapy.</p>
Association between Galectin-1 gene expression and acute myeloid leukemia patient survival in The Cancer Genome Atlas
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Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia: scRNA-seq and CyTOF processed datasets
<p><strong>This data was generated as part of the Tumor Profiler study. If you use it in your research, please cite:</strong></p> <p>Wegmann, R., Bonilla, X., Casanova, R. <em>et al.</em> Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia. <em>Nat Commun</em> 15, 9402 (2024). https://doi.org/10.1038/s41467-024-53535-4</p> <p><strong>Derived data - scRNA-seq</strong></p> <p>This is an R data set (.RDS) containing a SingleCellExperiment object with the following slots:</p> <div> <ul> <li>Assays: <ul> <li>counts: raw counts</li> </ul> </li> </ul> </div> <div> <ul> <li>colData: Cell-level metadata <ul> <li> barcodes: The cell barcode</li> <li> fractionMT: Fraction mitochondrial genes per cell</li> <li> n_umi: Total number of UMIs per cell</li> <li> n_gene: Total number of genes per cell</li> <li> log_umi: log10 total number of UMIs per cell</li> <li> g2m_score: Cell cycle phase score for G2M</li> <li>s_score: Cell cycle phase score for S</li> <li>cycle_phase: predicted cell cycle phase</li> <li>celltype_major_full_ct_name: Major cell type full name</li> <li>celltype_major: Major cell type short name</li> <li>celltype_final_full_ct_name: Cell subtype full name</li> <li>celltype_final: Cell subtype short name </li> <li>sample_id </li> </ul> </li> </ul> </div> <div> <ul> <li>rowData: Gene-level metadata <ul> <li>gene_ids</li> <li>gene_names</li> </ul> </li> </ul> </div> <p><strong>Derived data - CyTOF</strong></p> <p>This is an R data set (.RDS) containing a SingleCellExperiment object with the following slots:</p> <ul> <li>Assays:<br> <ul> <li>counts_raw: signal intensity based on CyTOF dual counts</li> <li>exprs_raw: arcsinh transformed raw counts (cofactor 5)</li> <li>counts: batch corrected raw counts (linear scaling based on a quantile)</li> <li>exprs: arcsin transformed counts (cofactor 5)</li> <li>scaled: 0-1 normalized exprs (clipped to the 99.95th percentile)</li> </ul> </li> <li>colData (cell metadata) <ul> <li>bc_id: barcode of the sample during staining </li> <li>run: CyTOF experiment batch, named after the first sample of the batch</li> <li>type: Sample type (blood or bone marrow)</li> <li>sample_id: TuPro sample ID</li> <li>pred_id: Predicted cell type [char]</li> <li>pred_n: Predicted cell type [integer]</li> </ul> </li> <li>rowData (marker metadata) <ul> <li>channel_name: Name and isotopic mass of the metal ion corresponding to this marker</li> <li>marker_name: Protein name</li> <li>channel_group, channel_group_integer: Biological processes the channel identifies, e.g. specific cell type, signalling, cell death</li> <li>tsne_channel: Logical - use this channel for dimensionality reduction?</li> <li>channel_order: Define the order of channels for plotting</li> <li>cluster_channel: Logical - use this channel for clustering?</li> </ul> </li> </ul>
The contribution of multiplexing single cell RNA sequencing in acute myeloid leukemia
<p>Figures and supplimentary data of article : " The contribution of multiplexing single cell RNA sequencing in acute myeloid leukemia"</p>
Novel M2-like tumor-associated macrophage-related biomarkers predict prognosis of Acute myeloid leukemia patients.
<p>The supplementary material for the Novel M2-like tumor-associated macrophage-related biomarkers predict prognosis of Acute myeloid leukemia patients.</p>
NK Cells as Consolidation Therapy of Acute Myeloid Leukemia in Children/Adolescents
ClinicalTrials.gov study NCT02763475. IPD Sharing: NO. Countries: 1. Publications: 3.
Phase I Clinical Study of CWP232291 in Acute Myeloid Leukemia Patients
ClinicalTrials.gov study NCT01398462. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Safety Study of Thioridazine in Combination With Cytarabine to Treat Relapsed or Refractory Acute Myeloid Leukemia
ClinicalTrials.gov study NCT02096289. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Clinical Trial to Evaluate the Safety, Tolerability, Pharmacokinetics and Pharmacodynamics of Tuspetinib (HM43239) in Patients With Relapsed or Refractory Acute Myeloid Leukemia
ClinicalTrials.gov study NCT03850574. IPD Sharing: Not stated. Countries: 6. Publications: 1.
Study of Obatoclax in Previously Untreated Acute Myeloid Leukemia (AML)
ClinicalTrials.gov study NCT00684918. IPD Sharing: Not stated. Countries: 2. Publications: 1.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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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.