refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 380 results
Sort by

Filters

Technology

Platform

accession-icon GSE14618
Microarray analyses of induction failure in T-ALL
  • organism-icon Homo sapiens
  • sample-icon 77 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Genome U133A Array (hgu133a)

Description

The clinical and cytogenetic features associated with T-cell acute lymphoblastic leukemia (T-ALL) are not predictive of early treatment failure. Based on the hypothesis that microarrays might identify patients who fail therapy, we used the Affymetrix U133 Plus 2.0 chip and prediction analysis of microarrays (PAM) to profile 50 newly diagnosed patients who were treated in the Children's Oncology Group (COG) T-ALL Study 9404. We identified a 116-member genomic classifier that could accurately distinguish all 6 induction failure (IF) cases from 44 patients who achieved remission; network analyses suggest a prominent role for genes mediating cellular quiescence. Seven genes were similarly upregulated in both the genomic classifier for IF patients and T-ALL cell lines having acquired resistance to neoplastic agents, identifying potential target genes for further study in drug resistance. We tested whether our classifier could predict IF within 42 patient samples obtained from COG 8704 and, using PAM to define a smaller classifier for the U133A chip, correctly identified the single IF case and patients with persistently circulating blasts. Genetic profiling may identify T-ALL patients who are likely to fail induction and for whom alternate treatment strategies might be beneficial.

Publication Title

Identification of genomic classifiers that distinguish induction failure in T-lineage acute lymphoblastic leukemia: a report from the Children's Oncology Group.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE14615
Microarray analyses of induction failure in T-ALL (COG study 9404)
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Genome U133A Array (hgu133a)

Description

The clinical and cytogenetic features associated with T-cell acute lymphoblastic leukemia (T-ALL) are not predictive of early treatment failure. Based on the hypothesis that microarrays might identify patients who fail therapy, we used the Affymetrix U133 Plus 2.0 chip and prediction analysis of microarrays (PAM) to profile 50 newly diagnosed patients who were treated in the Children's Oncology Group (COG) T-ALL Study 9404. We identified a 116-member genomic classifier that could accurately distinguish all 6 induction failure (IF) cases from 44 patients who achieved remission; network analyses suggest a prominent role for genes mediating cellular quiescence. Seven genes were similarly upregulated in both the genomic classifier for IF patients and T-ALL cell lines having acquired resistance to neoplastic agents, identifying potential target genes for further study in drug resistance. We tested whether our classifier could predict IF within 42 patient samples obtained from COG 8704 and, using PAM to define a smaller classifier for the U133A chip, correctly identified the single IF case and patients with persistently circulating blasts. Genetic profiling may identify T-ALL patients who are likely to fail induction and for whom alternate treatment strategies might be beneficial.

Publication Title

Identification of genomic classifiers that distinguish induction failure in T-lineage acute lymphoblastic leukemia: a report from the Children's Oncology Group.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE14613
Microarray analyses of induction failure in T-ALL (COG study 8704)
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The clinical and cytogenetic features associated with T-cell acute lymphoblastic leukemia (T-ALL) are not predictive of early treatment failure. Based on the hypothesis that microarrays might identify patients who fail therapy, we used the Affymetrix U133 Plus 2.0 chip and prediction analysis of microarrays (PAM) to profile 50 newly diagnosed patients who were treated in the Children's Oncology Group (COG) T-ALL Study 9404. We identified a 116-member genomic classifier that could accurately distinguish all 6 induction failure (IF) cases from 44 patients who achieved remission; network analyses suggest a prominent role for genes mediating cellular quiescence. Seven genes were similarly upregulated in both the genomic classifier for IF patients and T-ALL cell lines having acquired resistance to neoplastic agents, identifying potential target genes for further study in drug resistance. We tested whether our classifier could predict IF within 42 patient samples obtained from COG 8704 and, using PAM to define a smaller classifier for the U133A chip, correctly identified the single IF case and patients with persistently circulating blasts. Genetic profiling may identify T-ALL patients who are likely to fail induction and for whom alternate treatment strategies might be beneficial.

Publication Title

Identification of genomic classifiers that distinguish induction failure in T-lineage acute lymphoblastic leukemia: a report from the Children's Oncology Group.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE142317
Expression profile of MDA-MB435 cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To further analyze the effect of WWOX on metastasis formation, we studied the differential expression of mRNAs using Affymetrix genechip in WWOX- sufficient and deficient metastatic cells.

Publication Title

Pleiotropic tumor suppressor functions of WWOX antagonize metastasis.

Sample Metadata Fields

Cell line

View Samples
accession-icon SRP082685
Binding to SMN2 pre-mRNA-Protein complex elicits specificity for small molecule splicing modifiers
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Small molecule splicing modifiers have been extensively described which target the generic splicing machinery and thus have low target specificity. We have identified potent splicing modifiers with unprecedented high selectively, correcting the splicing deficit of the SMN2 (survival motor neuron 2) gene in Spinal Muscular Atrophy (SMA). Here we show that they directly bind to two sites of the SMN2 pre-mRNA, thereby stabilizing a novel ribonucleoprotein (RNP) complex in the SMN2 gene that is critical for the high target specificity of these small molecules over other genes. In addition to the therapeutic potential of these molecules for treatment of SMA, our work may have wide-ranging consequences for further research to identify small molecules that target splicing correction of specific genes by interacting with tertiary RNA structures. Overall design: mRNA profiling of type I SMA fibroblasts treated with NVS-SM1

Publication Title

Binding to SMN2 pre-mRNA-protein complex elicits specificity for small molecule splicing modifiers.

Sample Metadata Fields

Treatment, Subject

View Samples
accession-icon GSE71717
Expression data from Human Ishikawa cells treated with Genistein
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study provides a comprehensive evaluation of changes in gene expression during treatment with Genistein in vitro.

Publication Title

Dose- and Time-Dependent Transcriptional Response of Ishikawa Cells Exposed to Genistein.

Sample Metadata Fields

Treatment

View Samples
accession-icon SRP133671
The Caenorhabditis elegans Female-Like State: Decoupling the Transcriptomic Effects of Aging and Sperm Status
  • organism-icon Caenorhabditis elegans
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Understanding genome and gene function in a whole organism requires us to fully comprehend the life cycle and the physiology of the organism in question. Caenorhabditis elegans XX animals are hermaphrodites that exhaust their sperm after 3 d of egg-laying. Even though C. elegans can live for many days after cessation of egg-laying, the molecular physiology of this state has not been as intensely studied as other parts of the life cycle, despite documented changes in behavior and metabolism. To study the effects of sperm depletion and aging of C. elegans during the first 6 d of adulthood, we measured the transcriptomes of first-day adult hermaphrodites and sixth-day sperm-depleted adults, and, at the same time points, mutant fog-2(lf) worms that have a feminized germline phenotype. We found that we could separate the effects of biological aging from sperm depletion. For a large subset of genes, young adult fog-2(lf) animals had the same gene expression changes as sperm-depleted sixth-day wild-type hermaphrodites, and these genes did not change expression when fog-2(lf) females reached the sixth day of adulthood. Taken together, this indicates that changing sperm status causes a change in the internal state of the worm, which we call the female-like state. Our data provide a high-quality picture of the changes that happen in global gene expression throughout the period of early aging in the worm. Overall design: 4 conditions; 3 samples per condition. Young adults are 1d old adults without visible eggs. Aged adults are 6th day adults, post-egg-laying. The fog-2 mutant strain used was JK574

Publication Title

The <i>Caenorhabditis elegans</i> Female-Like State: Decoupling the Transcriptomic Effects of Aging and Sperm Status.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP067926
FOXE3 Contributes to Peters Anomaly through Transcriptional Regulation of an Autophagy Associated Protein termed DNAJB1
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

FOXE3 is a lens specific transcription factor that has been associated with anterior segment ocular dysgenesis. To determine the transcriptional target(s) of FOXE3 that are indispensable for the anterior segment development, we examined the transcriptome and the proteome of cells expressing truncated FOXE3 responsible for Peters anomaly identified through linkage-coupled next-generation whole exome sequencing. We found that DNAJB1, an autophagy-associated protein, was the only candidate exhibiting differential expression in both screens. We confirmed the candidacy of DNAJB1 through chromatin immunoprecipitation and luciferase assays while knockdown of DNAJB1 in human lens epithelial cells resulted in mitotic arrest. Subsequently, we targeted dnajb1a in zebrafish through injection of a splice-blocking morpholino. The dnajb1a morphants exhibited underdeveloped cataractous lenses with persistent apoptotic nuclei. In conclusion, we have identified DNAJB1 as a transcriptional target of FOXE3 in a novel pathway that is crucial for development of the anterior segment of the eye. Overall design: Human Embryonic Kidney (HEK293FT) cells were transfected with the expression vector (pT-RexTM-DEST30) harboring either the wild type or the mutant (C240*) FOXE3 ORF (open reading frame). The experimental design included a total of eight biological replicates of cells expressing the wild type and eight replicates of mutant FOXE3 along with eight non-transfected controls. Cells were harvested 24-hour post-transfection and subjected to total RNA isolation for the preparation of whole transcriptome next-generation sequencing libraries. Initially, we examined the quality of transcriptome libraries on a MiSeq genome analyzer. Subsequent to confirmation of the quality, all libraries were paired-end sequenced (2 x 100 bp) using Illumina TruSeq Cluster V3 flow cell at a concentration of 13.0 pM in two separate lanes (12 bar-coded mRNA pooled libraries in each lane) on a HiSeq 2000 genome analyzer.

Publication Title

FOXE3 contributes to Peters anomaly through transcriptional regulation of an autophagy-associated protein termed DNAJB1.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE11869
The genomic response of a human uterine endometrial adenocarcinoma cell line to 17alpha-ethynyl estradiol.
  • organism-icon Homo sapiens
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We have determined the gene expression profile induced by 17 alpha-ethynyl estradiol (EE) in Ishikawa cells, a human uterine-derived estrogen-sensitive cell line, at various doses (1 pM, 100 pM, 10 nM, and 1 microM) and time points (8, 24, and 48 h). The transcript profiles were compared between treatment groups and controls (vehicle-treated) using high-density oligonucleotide arrays to determine the expression level of approximately 38,500 human genes. By trend analysis, we determined that the expression of 2560 genes was modified by exposure to EE in a dose- and time-dependent manner (p </= 0.0001). The annotation available for the genes affected indicates that EE exposure results in changes in multiple molecular pathways affecting various biological processes, particularly associated with development, morphogenesis, organogenesis, cell proliferation, cell organization, and biogenesis. All of these processes are also affected by estrogen exposure in the uterus of the rat. Comparison of the response to EE in both the rat uterus and the Ishikawa cells showed that 71 genes are regulated in a similar manner in vivo as well as in vitro. Further, some of the genes that show a robust response to estrogen exposure in Ishikawa cells are well known to be estrogen responsive, in various in vivo studies, such as PGR, MMP7, IGFBP3, IGFBP5, SOX4, MYC, EGR1, FOS, CKB, and CCND2, among others. These results indicate that transcript profiling can serve as a viable tool to select reliable in vitro systems to evaluate potential estrogenic activities of target chemicals and to identify genes that are relevant for the estrogen response.

Publication Title

The genomic response of a human uterine endometrial adenocarcinoma cell line to 17alpha-ethynyl estradiol.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE17624
Expression data from human Ishikawa cells treated with Bisphenol A
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study provides a comprehensive evaluation of changes in gene expression during treatment with Bisphenol A in vitro.

Publication Title

The genomic response of Ishikawa cells to bisphenol A exposure is dose- and time-dependent.

Sample Metadata Fields

Cell line, Treatment

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact