Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA89875 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We developed a general approach to small molecule library screening called GE-HTS (Gene Expression-Based High Throughput Screening) in which a gene expression signature is used as a surrogate for cellular states and applied it to the identification of compounds inducing the differentiation of acute myeloid leukemia cells. In screening 1,739 compounds, we identified 8 that reliably induced the differentiation signature, and furthermore yielded functional evidence of bona fide differentiation. This SuperSeries is composed of the following subset Series:; GSE976: Gene Expression-Based High Throughput Screening: APL Treatment with Candidate Compounds; GSE982: Gene Expression-Based High Throughput Screening: HL-60 Cell Treatment with Candidate Compounds; GSE983: Gene Expression-Based High Throughput Screening: Primary Patient AML Blasts, Normal Neutrophils, and Normal Monocytes; GSE985: Gene Expression-Based High Throughput Screening: HL-60 Cells Treated with ATRA and PMA Experiment Overall Design: Refer to individual Series
2007-09-20 | E-GEOD-995 | biostudies-arrayexpress
Project description:We developed a general approach to small molecule library screening called GE-HTS (Gene Expression-Based High Throughput Screening) in which a gene expression signature is used as a surrogate for cellular states and applied it to the identification of compounds inducing the differentiation of acute myeloid leukemia cells. In screening 1,739 compounds, we identified 8 that reliably induced the differentiation signature, and furthermore yielded functional evidence of bona fide differentiation. We tested several of these in duplicate replicates in blasts from a patient with APL. Also included in this data set are a collection of 6 primary patient AML cells, 3 normal neutrophils samples, and 3 normal monocyte samples. This data was used to evaluate whole genome effects of the compounds on APL cells in relation to AML versus normal neutrophils and monocytes. Keywords = Leukemia Keywords = APL Keywords = AML Keywords = chemical genomics Keywords: repeat sample
2004-01-30 | GSE976 | GEO
Project description:Chip-chip data from primary human AML patient blasts, normal CD34+ HSCs, normal neutrophils and normal T cells with H3K9 and H3K27 antibodies. Gene expression profiling from primary human AML patient blasts and CD34+ normal cells. Analysis of the chromatin landscape of the ERG locus using H3K9 and H3K27 as markers of euchromatin and heterochromatin respectively. Analysis of ERG expression in AML patients with normal CD34+ HSCs as control. Correlation of the activity of a stem cell enhancer at the ERG locus in AML primary patient blasts with their transcriptome and clinical outcome data.
2013-04-04 | E-GEOD-38865 | biostudies-arrayexpress
Project description:Chip-chip data from primary human AML patient blasts, normal CD34+ HSCs, normal neutrophils and normal T cells with H3K9 and H3K27 antibodies. Gene expression profiling from primary human AML patient blasts and CD34+ normal cells. Analysis of the chromatin landscape of the ERG locus using H3K9 and H3K27 as markers of euchromatin and heterochromatin respectively. Analysis of ERG expression in AML patients with normal CD34+ HSCs as control.
2013-04-04 | GSE38865 | GEO
Project description:We developed a general approach to small molecule library screeening called GE-HTS (Gene Expression-Based High Throughput Screening) in which a gene expression signature is used as a surrogate for cellular states and applied it to the identification of compounds inducing the differentiation of acute myeloid leukemia cells. In screening 1,739 compounds, we identified 8 that reliably induced the differentiation signature, and furthermore yielded functional evidence of bona fide differentiation. This data set contains 3 primary patient AML samples, 3 normal human neutrophil and 3 normal human monocyte samples. This data set was used to identify the genes that distinguish AML cells from normal human myeloid cells for the purpose of selecting marker genes for the screen. Keywords = AML Keywords = neutrophil Keywords = monocyte Keywords = chemical genomics Keywords: repeat sample
2004-01-30 | GSE983 | GEO
Project description:Cure rates for patients with acute myeloid leukemia (AML) remain low despite ever-increasing dose intensity of cytotoxic therapy. In an effort to identify novel approaches to AML therapy, we recently reported a new method of chemical screening based on the modulation of a gene expression signature of interest. We applied this approach to the discovery of AML-differentiation-promoting compounds. Among the compounds inducing neutrophilic differentiation was DAPH1 (4,5-dianilinophthalimide), previously reported to inhibit epidermal growth factor receptor (EGFR) kinase activity. Here we report that the Food and Drug Administration (FDA)-approved EGFR inhibitor gefitinib similarly promotes the differentiation of AML cell lines and primary patient-derived AML blasts in vitro. Gefitinib induced differentiation based on morphologic assessment, nitro-blue tetrazolium reduction, cell-surface markers, genome-wide patterns of gene expression, and inhibition of proliferation at clinically achievable doses. Importantly, EGFR expression was not detected in AML cells, indicating that gefitinib functions through a previously unrecognized EGFR-independent mechanism. These studies indicate that clinical trials testing the efficacy of gefitinib in patients with AML are warranted. golub-00392 Assay Type: Gene Expression Provider: Affymetrix Array Designs: HG-U133A, HG-U133A_2 Organism: Homo sapiens (ncbitax) Material Types: cell, total_RNA, synthetic_RNA, organism_part, whole_organism*Cell Types: Disease States: Acute Myeloid Leukemia, Normal, Acute Myeloid Leukemia
2015-05-16 | E-GEOD-68954 | biostudies-arrayexpress
Project description:This data was used to determine levels of BRCA1 and BRCA2 in primary human leukemia samples. Samples were determined to be high BRCA1 and/or BRCA2 or low BRCA1 and/or BRAC2. This data was used to determine levels of BRCA1 and BRCA2 in primary human leukemia samples. Samples were determined to be high BRCA1 and/or BRCA2 or low BRCA1 and/or BRAC2. AML cell lines and patient samples, B ALL cell lines and Patient samplest, T ALL cell lines and patient samples, norma B cells, normal granulocytes, normal monocytes, normal T cells and normal CD34+ cells were used for RNA extraction and hybridization on Affymetrix microarrays. All the AML, B ALL, T ALL cell lines were cultured in vitro under appropriate culture conditons and harvested in their log phase growth for RNA extraction. AML, B ALL, and T ALL patient samples were collected...(I assume these are the PBMCs from eitehr peripheral blood or bone marrow from patients, please confirm). Normal B cells, granulocytes, monocytes, and T cells were purified from human peripheral blood of normal healthy donors.
2013-07-06 | E-GEOD-48558 | biostudies-arrayexpress
Project description:Expression of proteins regulating apoptosis (BCL-2, MCL-1, BCL-X and BAX) in acute myeloid leukemia (AML) blasts at diagnosis have been shown to be associated with disease-free survival. We previously found that the initially high apoptosis-resistance of AML cells decreased after therapy, while regaining high levels at relapse. This suggested a dynamic regulation of apoptosis. Herein, we further explored this aspect of apoptosis in AML. Firstly, the intra-individual ex vivo apoptosis-related profiles of normal lymphocytes and AML blasts showed a strong correlation, with expression values far beyond control lymphocytes. Secondly, we demonstrated that apoptosis-resistant primary AML blasts, as opposed to apoptosis-sensitive cells, were able to up-regulate BCL-2 expression in sensitive AML blasts in contact cultures (p=0.0067 and p=1.0 respectively). Using proteomics we further set out to identify novel proteins possibly engaged in apoptosis regulation. Proteomics analysis revealed that major functional protein clusters upregulated in secretomes of apoptosis-resistant AML, were presumably engaged in global gene regulation including mRNA splicing, protein translation and chromatin remodeling.
2016-02-03 | PXD001476 | Pride
Project description:Cure rates for patients with acute myeloid leukemia (AML) remain low despite ever-increasing dose intensity of cytotoxic therapy. In an effort to identify novel approaches to AML therapy, we recently reported a new method of chemical screening based on the modulation of a gene expression signature of interest. We applied this approach to the discovery of AML-differentiation-promoting compounds. Among the compounds inducing neutrophilic differentiation was DAPH1 (4,5-dianilinophthalimide), previously reported to inhibit epidermal growth factor receptor (EGFR) kinase activity. Here we report that the Food and Drug Administration (FDA)-approved EGFR inhibitor gefitinib similarly promotes the differentiation of AML cell lines and primary patient-derived AML blasts in vitro. Gefitinib induced differentiation based on morphologic assessment, nitro-blue tetrazolium reduction, cell-surface markers, genome-wide patterns of gene expression, and inhibition of proliferation at clinically achievable doses. Importantly, EGFR expression was not detected in AML cells, indicating that gefitinib functions through a previously unrecognized EGFR-independent mechanism. These studies indicate that clinical trials testing the efficacy of gefitinib in patients with AML are warranted.
2015-05-16 | GSE68954 | GEO
Project description:Acute myeloid leukemia (AML) is characterized by malignant myeloid precursors that span a cellular hierarchy from dedifferentiated leukemic stem cells to mature blasts. While the diagnostic and prognostic importance of AML blast maturation is increasingly recognized, personalized therapies are currently not tailored to a patient’s individual makeup of this cellular hierarchy. In this study, we use multiplexed image-based ex vivo drug screening (pharmacoscopy) to systematically quantify the drug sensitivity across the cellular hierarchy of AML patients. We analyzed 174 prospective and longitudinal patient samples from 44 newly diagnosed AML patients, which indicated that differences in the AML hierarchy significantly identified poor responses to first-line therapy, outperforming European LeukemiaNet (ELN) criteria. Critically, drug response profiling across the AML hierarchy of each patient improved the accuracy of predicting patient response to first-line therapy (AUC 0.91), and revealed alternative individualized treatment options targeting the complete AML hierarchy of non-responding patients. We confirmed these findings in an independent cohort of 26 relapsed/refractory AML patients, for whom pan-hierarchy response profiling improved response predictions post hoc. Overall, our results quantify the clinical importance of therapeutically targeting the complete cellular hierarchy of newly diagnosed AML, and identify multiplexed image-based ex vivo drug screening to enable quantification and targeting of the AML maturation hierarchy for improved personalized treatment.
2024-07-20 | GSE272681 | GEO