Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene Expression-Based High Throughput Screening: APL Treatment with Candidate Compounds

ABSTRACT: 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

ORGANISM(S): Homo sapiens

PROVIDER: GSE976 | GEO | 2004/01/30

SECONDARY ACCESSION(S): PRJNA89871

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcription profiling of human acute myeloid leukemia cells to identify compounds inducing the differentiation of acute myeloid leukemia cells

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

Gene Expression-Based High Throughput Screening: Primary Patient AML Blasts, Normal Neutrophils, and Normal Monocytes

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

Gene Expression-Based High Throughput Screening: HL-60 Cell Treatment with Candidate Compounds

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 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. This data set contains HL-60 cells treated in replicates of 3 with the original 13 selected candidates. It also contains 6 untreated, 6 DMSO treated, 3 ATRA treated, 3 PMA treated, and 3 1,25-dihydroxyvitamin D3 treated HL-60 controls. In addition, it contains 3 neutrophil and 3 monocyte samples from distinct normal human donors and 9 primary patient AML samples. This data set was used to evaluate the whole genome effects of the candidate compounds on HL-60 cells. Keywords = AML Keywords = leukemia Keywords = HL-60 Keywords = chemical genomics Keywords: repeat sample

2004-01-30 | GSE982 | GEO

Gene Expression-Based High Throughput Screening: HL-60 Cells Treated with ATRA and PMA

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 data set contains HL-60 cells treated in a time course, in replicate, with 1 uM all trans retinoic acid (ATRA) and 10 nM phorbol 12-myristate 13-acetate (PMA). Also included are untreated HL-60 controls. This data set was used to select marker genes that distinguish the undifferentiated from the PMA or ATRA differentiated states. Keywords = AML Keywords = leukemia Keywords = HL-60 Keywords = chemical genomics Keywords: repeat sample

2004-01-30 | GSE985 | GEO

Differentiation of acute myeloid leukemia cells

2004-01-30 | GSE995 | GEO

Transcription profiling of human normal bone marrow CD34+ cells, promyelocytes, and neutrophils and PR9 cell line PML-RARA induction time series

Project description:To better understand the pathogenesis of acute promyelocytic leukemia (APL, FAB M3 AML), we identified genes that are expressed differently in APL cells compared to other acute myeloid leukemia subtypes, and to normal promyelocytes. Comparative gene expression analysis of 14 M3, 62 other AML (M0, M1, M2 and M4) and 5 enriched normal promyelocyte samples revealed a signature of 1,121 genes that are specifically dysregulated in M3 samples relative to other AML, and that do not simply represent normal promyelocyte expression (â??M3-specific signatureâ??). We used a novel, high throughput digital platform (Nanostring's nCounter system) to evaluate a subset of the most significantly dysregulated genes in 30 AML samples; 33 of 37 evaluable gene expression patterns were validated. In an additional analysis, we selected only genes that are dysregulated in M3 both compared to other AML subtypes, and to purified normal CD34+ cells, promyelocytes, and/or neutrophils, thereby isolating a 478 gene "composite M3 dysregulome". Surprisingly, the expression of only a few of these genes was significantly altered in PR-9 cells after PML-RARA induction, suggesting that most of these genes are not direct targets of PML-RARA. Comparison of the M3-specific signature to our previously described murine APL dysregulome revealed 33 commonly dysregulated genes, including JUN, EGR1, and TNF. Collectively, these results suggest that PML-RARA initiates a transcriptional cascade which generates a unique downstream expression signature in both primary human and mouse APL cells. Experiment Overall Design: 14 human APL/M3 AML samples were compared to 62 AML samples of other AML FAB subtypes (bone marrow aspirates collected at diagnosis, included in GSE10358), to fractionated cells from normal human bone marrow aspirates (5 CD34+ cells, 5 promyelocytes, 5 neutrophils/PMNs), and to PR9 cells before and after Zinc-induction of PML-RARA.

2008-10-26 | E-GEOD-12662 | biostudies-arrayexpress

aCGH data from mouse APL tumors

Project description:Acute Promyelocytic Leukemia (APL) is characterized by the t(15;17)(q22;q11.2) translocation, which creates a PML-RARA fusion gene that can initiate APL in mice. To discover cooperating mutations in this model, we sequenced a mouse APL genome to 15.6x haploid coverage, and discovered three somatic, non-synonymous mutations, of which one (Jak1 V657F) was recurrent. This mutation is identical to the JAK1 V658F mutation previously found in human APL and ALL samples. JAK1 V658F cooperates in vivo with PML-RARA, causing a rapidly fatal leukemia. We also discovered a somatic 150kb deletion involving the Kdm6a/Utx gene in the mouse APL genome; 3/14 additional mouse APL samples had similar deletions involving Kdm6a/Utx. Kdm6A/Utx, a histone H3K27 demethylase, was also deleted in 1/150 human AML samples tested. Whole genome sequencing of mouse cancer genomes provides an unbiased approach for discovering functionally relevant mutations that are also present in human leukemias. DNA from 15 mouse APL tumors on the Bl/6 Taconic background (F10), DNA from one WT 129/SvJ mouse spleen, and pooled DNA derived from the spleens of 6-week-old, wild type, Bl/6 Taconic (parental strain) mice were analyzed using the Nimblegen Mouse CGH 3x720K WGT platform.

2010-12-30 | E-GEOD-26130 | biostudies-arrayexpress

Exon array data from mouse APL tumors

Project description:Acute Promyelocytic Leukemia (APL) is characterized by the t(15;17)(q22;q11.2) translocation, which creates a PML-RARA fusion gene that can initiate APL in mice. To discover cooperating mutations in this model, we sequenced a mouse APL genome to 15.6x haploid coverage, and discovered three somatic, non-synonymous mutations, of which one (Jak1 V657F) was recurrent. This mutation is identical to the JAK1 V658F mutation previously found in human APL and ALL samples. JAK1 V658F cooperates in vivo with PML-RARA, causing a rapidly fatal leukemia. We also discovered a somatic 150kb deletion involving the Kdm6a/Utx gene in the mouse APL genome; 3/14 additional mouse APL samples had similar deletions involving Kdm6a/Utx. Kdm6A/Utx, a histone H3K27 demethylase, was also deleted in 1/150 human AML samples tested. Whole genome sequencing of mouse cancer genomes provides an unbiased approach for discovering functionally relevant mutations that are also present in human leukemias. Spleens from Bl/6 Taconic mice were harvested and total RNA was extracted. A total of 15 specimens were analyzed using the Affymetrix Mouse Exon 1.0 ST platform.

2010-12-29 | E-GEOD-26128 | biostudies-arrayexpress

aCGH data from mouse APL tumors

2010-12-30 | GSE26130 | GEO

KDM5A suppresses PML-RARα target gene expression and APL differentiation through repressing H3K4me2

Project description:Epigenetic abnormalities are frequently involved in the initiation and progression of cancers including acute myeloid leukemia (AML). A subtype of AML, Acute promyelocytic leukemia (APL), is mainly driven by a specific oncogenic fusion event of PML-RARα. PML-RARα was reported as a transcription repressor through the interaction with NCoR/HDAC complexes leading to the mis-suppression of its target genes and differentiation blockage. While previous studies were mainly focused on the connection of histone acetylation, it is still largely unknown whether alternative epigenetics mechanisms are involved in APL progression. KDM5A is a demethylase of histone H3 lysine 4 di- and tri- methylations (H3K4me2/3) and a transcription corepressor. Here, we found that the loss of KDM5A led to APL NB4 cell differentiation and retarded growth. Mechanistically, through epigenomics and transcriptomics analyses, we detected KDM5A binding in 1,889 genes, with the majority of the binding events at promoter regions. KDM5A suppressed the expression of 621 genes, including 42 PML-RARα target genes primarily by controlling the H3K4me2 in the promoters and 5’ end intragenic regions. In addition, a recently reported pan-KDM5 inhibitor, CPI-455 on its own could phenocopy the differentiation effects as KDM5A loss in NB4 cells. CPI-455 treatment or KDM5A knockout could greatly sensitize NB4 cells to ATRA induced differentiation. Our findings indicated that KDM5A contributed to the differentiation blockage in the APL cell line NB4, and inhibition of KDM5A could greatly potentiate NB4 differentiation.

2021-04-01 | GSE152397 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data