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accession-icon SRP076622
Chromatin Binding of Gcn5 in Drosophila is Largely Mediated by CP190 [RNA-seq]
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

80% of the genomic binding sites of the histone acetyltransferase Gcn5 are colocalizing with CP190 binding. Depletion of CP190 reduces the number of Gcn5 binding sites and binding strength to chromatin. Binding dependency was further supported by Gcn5 mediated co-precipitation of CP190 Overall design: RNA-seq expression profiles of drosophila S2 mRNA after depletion of CP190 and Gcn5

Publication Title

Chromatin binding of Gcn5 in Drosophila is largely mediated by CP190.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE6728
Expression data for NMD inhibition in Mantle Cell Lymphoma
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification of potential tumor suppressor genes using the GINI strategy in Mantle Cell Lymphoma cell lines

Publication Title

Inactivation of RB1 in mantle-cell lymphoma detected by nonsense-mediated mRNA decay pathway inhibition and microarray analysis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE41010
Differential roles for MBD2 and MBD3 at methylated CpG islands, active promoters and exon sequences
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Differential roles for MBD2 and MBD3 at methylated CpG islands, active promoters and binding to exon sequences.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE41003
Expression data from HeLa cells after MBD2 and MBD3 knock down
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The heterogeneous collection of NuRD complexes can be grouped into the MBD2 or MBD3 containing complexes MBD2-NuRD and MBD3-NuRD. MBD2 is known to bind to methylated CpG sequences in vitro in contrast to MBD3. Although functional differences have been described, a direct comparison of MBD2 and MBD3 in respect to genome-wide binding and function has been lacking. Here we show when depleting cells for MBD2, the MBD2 bound genes increase their activity, whereas MBD2 plus MBD3 bound genes reduce their activity. Most strikingly, MBD3 is enriched at active promoters, whereas MBD2 is bound at methylated promoters and enriched at exon sequences of active genes. This suggests a functional connection between MBD2 binding to chromatin and splicing.

Publication Title

Differential roles for MBD2 and MBD3 at methylated CpG islands, active promoters and binding to exon sequences.

Sample Metadata Fields

Cell line

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accession-icon GSE22038
Gene expression following epigenetic drug treatment
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MCL cell lines were treated with aza and aza in combination with TSA.

Publication Title

Identification of methylated genes associated with aggressive clinicopathological features in mantle cell lymphoma.

Sample Metadata Fields

Cell line

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accession-icon GSE52892
SOX11-positive and SOX11-knockdown xenograft derived tumor Gene Expression Profilings
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The neural transcription factor SOX11 is overexpressed in aggressive lymphoid neoplasms mainly in mantle cell lymphoma (MCL). We have recently demonstrated SOX11 tumorigenic potential in vivo by showing a significant reduction on tumor growth of SOX11-knockdown MCL cells in xenograft experiments, confirming the clinical observations that SOX11 may play an important role in the aggressive behavior of MCL (Vegliante et al., 2013). However, the specific mechanisms regulated by SOX11 that promote the oncogenic and rapid tumor growth of aggressive MCL still remain to be elucidated. To further characterize the potential oncogenic mechanisms regulated by SOX11 in MCL, we have analyzed the GEP derived from the xenograft SOX11-positive and knockdown xenograft derived tumors.

Publication Title

SOX11 promotes tumor angiogenesis through transcriptional regulation of PDGFA in mantle cell lymphoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE34763
SOX11 Gene Expression Profiling
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The neural transcription factor SOX11 is overexpressed in aggressive lymphoid neoplasms mainly in mantle cell lymphoma (MCL), but its functional role in malignant B-cells is unknown. To identify target genes transcriptionally regulated by SOX11 in malignant lymphoid cells, we have used Gene Expression Profiling (GEP) after SOX11 silencing in MCL cell lines.

Publication Title

SOX11 regulates PAX5 expression and blocks terminal B-cell differentiation in aggressive mantle cell lymphoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE73066
Transcriptional profiles of pilocytic astrocytoma
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Pilocytic astrocytoma is the most common type of brain tumor in pediatric population, generally connected with favorable prognosis, although recurrences or dissemination sometimes are also observed. For tumors originating in supra- or infratentorial location different molecular background was suggested but plausible correlations between transcriptional profile and radiological features and/or clinical course are still undefined. The purpose of this study was to identify gene expression profiles related to the most frequent locations of this tumor, subtypes based on various radiological features and clinical pattern of the disease. According to the radiological features presented on MRI, all cases were divided into four subtypes: solid or mainly solid, cystic with an enhancing cyst wall, cystic with a non-enhancing cyst wall and solid with central necrosis. Bioinformatic analyses showed that gene expression profile of pilocytic astrocytoma highly depends on the tumor location. Most prominent differences were noted for IRX2, PAX3, CXCL14, LHX2, SIX6, CNTN1 and SIX1 genes expression which could distinguish pilocytic astrocytomas of different location even within supratentorial region. Analysis of the genes potentially associated between radiological features showed much weaker transcriptome differences. Single genes showed association with the tendency to progression. Here we showed that pilocytic astrocytomas of three different locations could be precisely differentiated on the basis of gene expression level but their transcriptional profiles did not strongly reflect the radiological appearance of the tumor or the course of the disease.

Publication Title

Transcriptional profiles of pilocytic astrocytoma are related to their three different locations, but not to radiological tumor features.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE50567
BRCA1-related gene signature in breast cancer: the role of ER status and molecular type
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We have analyzed, using DNA microarrays, putative differences in gene-expression level between hereditary BRCA1 mutation-linked and sporadic breast cancer. Our results show that a previously reported marked difference between BRCA1-mutation linked and sporadic breast cancer was probably due to uneven stratification of samples with different ER status and basal-like versus luminal-like subtype. We observed that apparent difference between BRCA1-linked and other types of breast cancer found in univariate analysis was diminished when data were corrected for ER status and molecular subtype in multivariate analyses. In fact, the difference in gene expression pattern of BRCA1-mutated and sporadic cancer is very discrete. These conclusions were supported by the results of Q-PCR validation. We also found that BRCA1 gene inactivation due to promoter hypermethylation had similar effect on general gene expression profile as mutation-induced protein truncation. This suggests that in the molecular studies of hereditary breast cancer, BRCA1 gene methylation should be recognized and considered together with gene mutation.

Publication Title

BRCA1-related gene signature in breast cancer: the role of ER status and molecular type.

Sample Metadata Fields

Age

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accession-icon GSE13909
Molecular signature of cell cycle exit induced in human T lymphoblasts by IL-2 withdrawal
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Molecular mechanisms of cell cycle exit are poorly understood. A group of genes required for cell cycle exit and maintenance of cell quiescence in human fibroblasts following serum deprivation has been recently identified. Studies on lymphocytes following growth factor deprivation-induced cell cycle exit have predominantly focused on the initiation of apoptosis. A set of genes involved in lymphocyte quiescence have also been identified among genes highly expressed in resting lymphocytes and down-regulated after cell activation. In our study, proliferating IL-2-dependent human T cells were forced to exit cell cycle by growth factor withdrawal, and their gene expression profiles were examined.

Publication Title

Molecular signature of cell cycle exit induced in human T lymphoblasts by IL-2 withdrawal.

Sample Metadata Fields

No sample metadata fields

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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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Developed by the Childhood Cancer Data Lab

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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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