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accession-icon GSE995
Differentiation of acute myeloid leukemia cells
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), Affymetrix Human Full Length HuGeneFL Array (hu6800)

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.

Publication Title

Gene expression-based high-throughput screening(GE-HTS) and application to leukemia differentiation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE982
Gene Expression-Based High Throughput Screening: HL-60 Cell Treatment with Candidate Compounds
  • organism-icon Homo sapiens
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), Affymetrix Human Full Length HuGeneFL Array (hu6800)

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 prioritized 15 candidate compounds (2 were already confirmed in the literature). We next evaluated the 13 remaining compounds. Eight reliably induced the differentiation signature, and furthermore yielded functional evidence of bona fide differentiation.

Publication Title

Gene expression-based high-throughput screening(GE-HTS) and application to leukemia differentiation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE68954
caArray_golub-00392: Gefitinib (Iressa) induces myeloid differentiation of acute myeloid leukemia
  • organism-icon Homo sapiens
  • sample-icon 69 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

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.

Publication Title

Gefitinib induces myeloid differentiation of acute myeloid leukemia.

Sample Metadata Fields

Disease, Disease stage, Cell line

View Samples
accession-icon GSE976
Gene Expression-Based High Throughput Screening: APL Treatment with Candidate Compounds
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Full Length HuGeneFL Array (hu6800), Affymetrix Human Genome U133A Array (hgu133a)

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.

Publication Title

Gene expression-based high-throughput screening(GE-HTS) and application to leukemia differentiation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE5007
Expression data for LMF
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This study compared the expression signatures of HL60 cells +/- tretinoin. This data was then used for another study showing a method for high-throughput gene expression signature analysis.

Publication Title

A method for high-throughput gene expression signature analysis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE15648
AML1-ETO induction and knockdown
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of AML1-ETO modulators by chemical genomics.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE91002
caArray_stegm-00394: Broad: Identification of AML1-ETO modulators by chemical genomics
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

Somatic rearrangements of transcription factors are common abnormalities in the acute leukemias. With rare exception, however, the resultant protein products have remained largely intractable as pharmacologic targets. One example is AML1-ETO, the most common translocation reported in acute myeloid leukemia (AML). To identify AML1-ETO modulators, we screened a small molecule library using a chemical genomic approach. Gene expression signatures were used as surrogates for the expression versus loss of the translocation in AML1-ETO-expressing cells. The top classes of compounds that scored in this screen were corticosteroids and dihydrofolate reductase (DHFR) inhibitors. In addition to modulating the AML1-ETO signature, both classes induced evidence of differentiation, dramatically inhibited cell viability, and ultimately induced apoptosis via on-target activity. Furthermore, AML1-ETO-expressing cell lines were exquisitely sensitive to the effects of corticosteroids on cellular viability compared with nonexpressers. The corticosteroids diminished AML1-ETO protein in AML cells in a proteasome- and glucocorticoid receptor-dependent manner. Moreover, these molecule classes demonstrated synergy in combination with standard AML chemotherapy agents and activity in an orthotopic model of AML1-ETO-positive AML. This work suggests a role for DHFR inhibitors and corticosteroids in treating patients with AML1-ETO-positive disease.

Publication Title

Identification of AML1-ETO modulators by chemical genomics.

Sample Metadata Fields

Disease, Disease stage, Cell line

View Samples
accession-icon GSE15647
U937 AML1-ETO inducible samples
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

U937 AML cells that express an inducible AML1-ETO construct under the control of the tetracycline promoter.

Publication Title

Identification of AML1-ETO modulators by chemical genomics.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE15646
Kasumi-1 AML1-ETO knockdown samples
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

Kasumi-1 AML cells that were transfected in triplicate with AML1-ETO or luciferase siRNA constructs by either Amaxa nucleofection or Biorad siLentFect and incubated for 96 hours.

Publication Title

Identification of AML1-ETO modulators by chemical genomics.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE54065
SYK Is a Critical Regulator of FLT3 In Acute Myeloid Leukemia
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

Cooperative dependencies between mutant oncoproteins and wild-type proteins are critical in cancer pathogenesis and therapy resistance. Although spleen tyrosine kinase (SYK) has been implicated in hematologic malignancies, it is rarely mutated. We used kinase activity profiling to identify collaborators of SYK in acute myeloid leukemia (AML) and determined that FMS-like tyrosine kinase 3 (FLT3) is transactivated by SYK via direct binding. Highly activated SYK is predominantly found in FLT3-ITD positive AML and cooperates with FLT3-ITD to activate MYC transcriptional programs. FLT3-ITD AML cells are more vulnerable to SYK suppression than FLT3 wild-type counterparts. In a FLT3-ITD in vivo model, SYK is indispensable for myeloproliferative disease (MPD) development, and SYK overexpression promotes overt transformation to AML and resistance to FLT3-ITD-targeted therapy.

Publication Title

SYK is a critical regulator of FLT3 in acute myeloid leukemia.

Sample Metadata Fields

Cell line, Treatment

View Samples
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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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