EGAS00001000200-sc-20120201 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001000104 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Single-cell RNA sequencing was performed on bone marrow mononuclear of a patient with acute myeloid leukemia with erythroid differentiation of the blasts and on peripheral blood mononuclear cells of a patient with acute myeloid leukemia with megakaryocytic differentiation of the blasts. Raw data for this dataset can be found at the EGA under accession EGAS00001006819.
2022-12-05 | E-MTAB-12607 | biostudies-arrayexpress
Project description:Proteogenomic analysis and genomic profiling, RNA-sequencing, and mass spectrometry-based analysis of High hyperdiploid childhood acute lymphoblastic leukemia.
2020-01-29 | MSV000084862 | MassIVE
Project description:Acute Lymphoblastic Leukemia Exome sequencing
| EGAD00001000089 | EGA
Project description:Genetic studies in T-cell acute lymphoblastic leukemia have uncovered a remarkable complexity of oncogenic and loss-of-function mutations. Amongst this plethora of genetic changes, NOTCH1 activating mutations stand out as the most frequently occurring genetic defect, identified in more than 50% of T-cell acute lymphoblastic leukemias, supporting an essential driver role for this gene in T-cell acute lymphoblastic leukemia oncogenesis. In this study, we aimed to establish a comprehensive compendium of the long non-coding RNA transcriptome under control of Notch signaling. For this purpose, we measured the transcriptional response of all protein coding genes and long non-coding RNAs upon pharmacological Notch inhibition in the human T-cell acute lymphoblastic leukemia cell line CUTLL1 using RNA-sequencing. Similar Notch dependent profiles were established for normal human CD34+ thymic T-cell progenitors exposed to Notch signaling activity in vivo. In addition, we generated long non-coding RNA expression profiles (array data) from GSI treated T-ALL cell lines, ex vivo isolated Notch active CD34+ and Notch inactive CD4+CD8+ thymocytes and from a primary cohort of 15 T-cell acute lymphoblastic leukemia patients with known NOTCH1 mutation status. Integration of these expression datasets with publically available Notch1 ChIP-sequencing data resulted in the identification of long non-coding RNAs directly regulated by Notch activity in normal and malignant T-cell context. Given the central role of Notch in T-cell acute lymphoblastic leukemia oncogenesis, these data pave the way towards development of novel therapeutic strategies that target hyperactive Notch1 signaling in human T-cell acute lymphoblastic leukemia. Gene expression profiling of 64 T-ALL patient samples
2014-10-27 | E-GEOD-61866 | biostudies-arrayexpress
Project description:Genetic studies in T-cell acute lymphoblastic leukemia have uncovered a remarkable complexity of oncogenic and loss-of-function mutations. Amongst this plethora of genetic changes, NOTCH1 activating mutations stand out as the most frequently occurring genetic defect, identified in more than 50% of T-cell acute lymphoblastic leukemias, supporting an essential driver role for this gene in T-cell acute lymphoblastic leukemia oncogenesis. In this study, we aimed to establish a comprehensive compendium of the long non-coding RNA transcriptome under control of Notch signaling. For this purpose, we measured the transcriptional response of all protein coding genes and long non-coding RNAs upon pharmacological Notch inhibition in the human T-cell acute lymphoblastic leukemia cell line CUTLL1 using RNA-sequencing. Similar Notch dependent profiles were established for normal human CD34+ thymic T-cell progenitors exposed to Notch signaling activity in vivo. In addition, we generated long non-coding RNA expression profiles (array data) from GSI treated T-ALL cell lines, ex vivo isolated Notch active CD34+ and Notch inactive CD4+CD8+ thymocytes and from a primary cohort of 15 T-cell acute lymphoblastic leukemia patients with known NOTCH1 mutation status. Integration of these expression datasets with publically available Notch1 ChIP-sequencing data resulted in the identification of long non-coding RNAs directly regulated by Notch activity in normal and malignant T-cell context. Given the central role of Notch in T-cell acute lymphoblastic leukemia oncogenesis, these data pave the way towards development of novel therapeutic strategies that target hyperactive Notch1 signaling in human T-cell acute lymphoblastic leukemia.
2014-10-27 | GSE61866 | GEO
Project description:Proteogenomic analysis and genomic profiling, RNA-sequencing, and mass spectrometry-based analysis of High hyperdiploid childhood acute lymphoblastic leukemia.
2019-02-25 | PXD010175 | Pride
Project description:Arrested bone marrow (BM) lymphoid cell differentiation underlies the emergence of the most common childhood cancer, acute lymphoblastic leukemia (ALL). Recurrent genetic lesions often directly involve transcription factors (TFs), such as ETV6 and RUNX1 found in the most common ALL translocation. Here, we studied differential gene expression in ETV6-RUNX1 primary ALL samples and the REH cell line using single cell RNA-seq (scRNA-seq). Submitter declares that the raw data will be deposited in EGA due to patient privacy concerns. The raw data can be accessed at https://www.ebi.ac.uk/ega/studies/EGAS00001004374
2020-10-30 | GSE148218 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE25102: Illumina SNP-array data for 2 ETV6/RUNX1-positive Acute Lymphoblastic Leukemia samples and corresponding normal samples GSE25116: Affymetrix SNP-array data for 2 ETV6/RUNX1-positive Acute Lymphoblastic Leukemia samples and corresponding normal samples Refer to individual Series
2012-07-02 | E-GEOD-25117 | biostudies-arrayexpress
Project description:MicroRNA-sequencing of the bone marrow samples from Brazilian pediatric patients with B-cell acute lymphoblastic leukemia (B-ALL) and T-cell acute lymphoblastic leukemia (T-ALL).
2022-04-13 | E-MTAB-11621 | biostudies-arrayexpress
Project description:Early T-cell precursor acute lymphoblastic leukemia (ETP-ALL) is a high-risk T-ALL subtype with distinct immunophenotypes and genetic alterations, complicating diagnosis and treatment. Although cytogenetic and gene expression studies have advanced the diagnostic and therapeutic strategies, the proteomics signatures of ETP-ALL remain underexplored. Herein, we performed 4D label-free proteomic analyses on mononuclear cells isolated from ETP-ALL, T-ALL, acute myeloid leukemia (AML), and healthy donor samples to identify molecular signatures specific to ETP-ALL.
2025-12-30 | PXD069989 | Pride