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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.

Alternate Accession IDs

E-GEOD-995

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.

Alternate Accession IDs

E-GEOD-982

Sample Metadata Fields

No sample metadata fields

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.

Alternate Accession IDs

E-GEOD-976

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE20081
Expression Profiling Reveals Unexpected Targets and Functions of the Human Steroid Receptor RNA Activator (SRA) Gene
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The human steroid receptor RNA activator (SRA) gene encodes both non-coding RNAs (ncRNAs) and protein-generating isoforms. However, the breadth of endogenous target genes that might be regulated by SRA RNAs remains largely unknown. To address this, we depleted SRA RNA in two human cancer cell lines (HeLa and MCF-7) with small interfering RNAs, then assayed for changes in gene expression by microarray analyses using Affymetrix HGU133+2 arrays. We also tested if SRA depletion affects estradiol-regulated genes in MCF-7 breast cancer cells.

Publication Title

Research resource: expression profiling reveals unexpected targets and functions of the human steroid receptor RNA activator (SRA) gene.

Alternate Accession IDs

E-GEOD-20081

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE31406
Gene expression analyses of PR action in the uteri of SRC-2 mutant mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Ovarian estrogen (E2) and progesterone (P4) are indispensable for embryo-implantation and endometrial stromal decidualization; however, the molecular mechanisms that underpin these reproductive processes are unclear. Steroid receptor coregulator-2 (SRC-2) belongs to the multifunctional SRC/p160 family which also includes SRC-1 and SRC-3. Sharing strong sequence homology, all three SRCs exert diverse regulatory effects by modulating the transcriptional potency of nuclear receptor family members, including the estrogen and progesterone receptor (ER and PR respectively). Importantly, absence of SRC-2 in PR positive cells in the epithelial, stromal, and myometrial compartments of the murine uterus results in a striking infertility defect. This reproductive phenotype highlights a key role for SRC-2 in uterine function which is not shared with other coregulators. Intriguingly, abrogation of uterine SRC-2 does not block embryo apposition or attachment to the apical surface of luminal epithelial cells of the endometrium but rather prevents P4-dependent local decidualization of the sub-epithelial stroma. Remarkably, epithelial-specific ablation of SRC-2 in the murine uterus does not compromise endometrial functionality, again underscoring the unique importance of stromal derived SRC-2 in uterine function. The stromal decidualization defect resulting from SRC-2 ablation is reflected at the molecular level by a marked attenuation in P4 responsive target genes known to be critical for P4 dependent decidualization (i.e. ERBB receptor feedback inhibitor 1, Follistatin and Fkbp5). Conversely, the induction of E2 or P4 target genes involved in embryo implantation (i.e. leukemia inhibitory factor (LIF) and Indian hedgehog (Ihh) respectively) is not affected by SRC-2s absence. As with mouse studies, decidualization of primary human stromal cells (HESCs) in culture is blocked by SRC-2 knockdown; however, HESC decidualization is unaffected by knockdown of SRC-1 or SRC-3. As a consequence of SRC-2 knockdown, molecular studies disclose a striking decrease in the induction of a subset of P4 target genes (i.e. WNT4 and FKBP5) which are essential for the stromal-epithelioid transformation step, the cellular hallmark of endometrial decidualization. Collectively, these studies not only showcase the evolutionary importance of SRC-2 in endometrial biology but also suggest that deregulation of this coregulator may underpin a spectrum of hormone-dependent uterine pathologies such as endometriosis and endometrial cancer.

Publication Title

A murine uterine transcriptome, responsive to steroid receptor coactivator-2, reveals transcription factor 23 as essential for decidualization of human endometrial stromal cells.

Alternate Accession IDs

E-GEOD-31406

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE56843
Steroid Receptor Coactivator 1 is an Integrator of Glucose and NAD(+)/NADH Homeostasis
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

SRC-1 affects the expression of complex I of the mitochondrial electron transport chain, a set of enzymes responsible for the conversion of NADH to NAD(+). NAD(+) and NADH were subsequently identified as metabolites that underlie SRC-1's response to glucose deprivation. Knockdown of SRC-1 in glycolytic cancer cells abrogated their ability to grow in the absence of glucose consistent with SRC-1's role in promoting cellular adaptation to reduced glucose availability

Publication Title

Steroid receptor coactivator 1 is an integrator of glucose and NAD+/NADH homeostasis.

Alternate Accession IDs

E-GEOD-56843

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE55002
Transcription array by profiling in WT and SRC-2 null mouse liver
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The molecular targets of SRC-2 regulation in the murine liver stimulate fatty acid degradation and glycolytic pathway while fatty acid, cholesterol, and steroid biosynthetic pathways are down-regulated.

Publication Title

The genomic analysis of the impact of steroid receptor coactivators ablation on hepatic metabolism.

Alternate Accession IDs

E-GEOD-55002

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP166302
Steroid Receptor Coactivator-2 Regulated Transcriptome in Human Endometrial Stromal Cells
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-sequencing of mRNA isolated from in vitro decidualizaing human endometrial stromal cells with or without siRNA-mediated knockdown of steroid receptor coactivator-2/nuclear receptor coactivator 2 (SRC-2/NCOA2) Overall design: Primary human endometrial stromal cells isolated from 3 healthy volunteers. Transfected with nontargeting or SRC-2/NCOA2 siRNA. Treated with estradiol, medroxyprogesterone acetate, and cAMP (EPC) for 0 or 3 days

Publication Title

Retinoid signaling controlled by SRC-2 in decidualization revealed by transcriptomics

Alternate Accession IDs

GSE121584

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon GSE41558
SRC-2 Coactivator Deficiency Decreases Functional Reserve in Response to Pressure Overload of Mouse Heart
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

A major component of the cardiac stress response is the simultaneous activation of several gene regulatory networks. Interestingly, the transcriptional regulator steroid receptor coactivator-2, SRC-2 is often decreased during cardiac failure in humans. We postulated that SRC-2 suppression plays a mechanistic role in the stress response and that SRC-2 activity is an important regulator of the adult heart gene expression profile. Genome-wide microarray analysis, confirmed with targeted gene expression analyses revealed that genetic ablation of SRC-2 activates the fetal gene program in adult mice as manifested by shifts in expression of a) metabolic and b) sarcomeric genes, as well as associated modulating transcription factors. While these gene expression changes were not accompanied by changes in left ventricular weight or cardiac function, imposition of transverse aortic constriction (TAC) predisposed SRC-2 knockout (KO) mice to stress-induced cardiac dysfunction. In addition, SRC-2 KO mice lacked the normal ventricular hypertrophic response as indicated through heart weight, left ventricular wall thickness, and blunted molecular signaling known to activate hypertrophy. Our results indicate that SRC-2 is involved in maintenance of the steady-state adult heart transcriptional profile, with its ablation inducing transcriptional changes that mimic a stressed heart. These results further suggest that SRC-2 deletion interferes with the timing and integration needed to respond efficiently to stress through disruption of metabolic and sarcomeric gene expression and hypertrophic signaling, the three key stress responsive pathways.

Publication Title

SRC-2 coactivator deficiency decreases functional reserve in response to pressure overload of mouse heart.

Alternate Accession IDs

E-GEOD-41558

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE2280
Prediction of lymphatic metastasis from primary squamous cell carcinoma of the oral cavity
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Metastasis via the lymphatics is a major risk factor in squamous cell carcinoma of the oral cavity (OSCC). We sought to determine whether the presence of metastasis in the regional lymph node could be predicted by a gene expression signature of the primary tumor. A total of 18 OSCCs were characterized for gene expression by hybridizing RNA to Affymetrix U133A gene chips. Genes with differential expression were identified using a permutation technique and verified by quantitative RT-PCR and immunohistochemistry. A predictive rule was built using a support vector machine, and the accuracy of the rule was evaluated using crossvalidation on the original data set and prediction of an independent set of four patients. Metastatic primary tumors could be differentiated from nonmetastatic primary tumors by a signature gene set of 116 genes. This signature gene set correctly predicted the four independent patients as well as associating five lymph node metastases from the original patient set with the metastatic primary tumor group. We concluded that lymph node metastasis could be predicted by gene expression profiles of primary oral cavity squamous cell carcinomas. The presence of a gene expression signature for lymph node metastasis indicates that clinical testing to assess risk for lymph node metastasis should be possible.

Publication Title

Gene expression signature predicts lymphatic metastasis in squamous cell carcinoma of the oral cavity.

Alternate Accession IDs

E-GEOD-2280

Sample Metadata Fields

No sample metadata fields

View Samples

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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