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accession-icon GSE53284
Transcriptome of HEK293 cells stably knockdown for the BAHD1 gene with a shRNA
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Comparison of gene expression profile of HEK293 cells stably expressing a shRNA control (SilX-CT) or a shRNA against BAHD1 (SilX-BAHD1)

Publication Title

Overexpression of the Heterochromatinization Factor BAHD1 in HEK293 Cells Differentially Reshapes the DNA Methylome on Autosomes and X Chromosome.

Sample Metadata Fields

Cell line

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accession-icon GSE51863
Transcriptome of HEK293 cells (HEK293-CT) and HEK293 cells stably over-expressing the BAHD1 gene (HEK-BAHD1)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Comparison of gene expression profile of HEK293-CT cells and HEK293 cells stably over-expressing the BAHD1 gene (HEK-BAHD1)

Publication Title

Overexpression of the Heterochromatinization Factor BAHD1 in HEK293 Cells Differentially Reshapes the DNA Methylome on Autosomes and X Chromosome.

Sample Metadata Fields

Cell line, Treatment

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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 GSE51868
HEK293 cells (HEK293-CT) and HEK293 cells stably over-expressing the BAHD1 gene (HEK-BAHD1)
  • organism-icon Homo sapiens
  • sample-icon 12 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

Role of the BAHD1 Chromatin-Repressive Complex in Placental Development and Regulation of Steroid Metabolism.

Sample Metadata Fields

Specimen part, Disease, Cell line, Treatment

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accession-icon SRP149148
Single-cell RNA-seq of spiral ganglion neurons from wildtype and Vglut3-/- mice
  • organism-icon Mus musculus
  • sample-icon 226 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Molecular heterogeneity among spiral ganglion neurons (SGNs) in the mouse cochlea was investigated in two genetic backgrounds: 1) wildtype, 2) Vglut3-/-, which lack inner hair cell-driven glutamatergic activation of SGNs. Overall design: Individual spiral-ganglion neurons expressing the fluorescent reporter tdTomato were dissociated and manually placed into PCR tubes; single-cell libraries were made by the Smart-seq2 approach; sequencing was done using the NextSeq platform (Illumina) at an average read depth of 4.5 million; bioinformatic analysis was conducted in R. Genotypes: bhlhb5::cre/+; Ai14/+ (wildtype) and bhlhb5::cre/+;Ai14/+; Vglut3-/- (Vglut3-/-). Age: P25-P27

Publication Title

Sensory Neuron Diversity in the Inner Ear Is Shaped by Activity.

Sample Metadata Fields

Subject

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accession-icon GSE21858
Patterns of gene expression and evolution in the human developing cerebral cortex
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The cerebral cortex underwent a rapid expansion and complexification during recent primate evolution, but the underlying developmental mechanisms remain essentially unknown.

Publication Title

Genes expressed in specific areas of the human fetal cerebral cortex display distinct patterns of evolution.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE71634
Gene expression profiling of healthy controls upon Interferon-beta stimulation
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This experiment was carried out in the context of a pharmacogenetic study of long-term (4-year follow-up) response to Interferon-beta treatment in two cohorts of Italian Multiple Sclerosis patients, to identify genetic variants (SNPs) that may influence response to IFN-beta. We integrated results from meta-analysis of the two cohorts with gene expression profiling of IFN stimulated PBMCs from 20 healthy controls and eQTL analyses, to look at possible enrichment of IFN-beta induced genes with genes mapped by top-ranking meta-analyzed SNPs.

Publication Title

Pharmacogenetic study of long-term response to interferon-β treatment in multiple sclerosis.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Subject

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accession-icon GSE6998
Expression profiling of developmental and regenerating liver in mice
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Normal adult liver is uniquely capable of renewal

Publication Title

Restoration of liver mass after injury requires proliferative and not embryonic transcriptional patterns.

Sample Metadata Fields

Age

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accession-icon GSE54709
Expression data from 786-O renal cell cancer cells treated with pentamidine
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

While early stages of clear cell renal cell carcinoma (ccRCC) are curable, survival outcome for metastatic ccRCC remains poor. The purpose of the current study was to apply a new individualized bioinformatics analysis (IBA) strategy to these transcriptome data in conjunction with Gene Set Enrichment Analysis of the Connectivity Map (C-MAP) database to identify and reposition FDA-approved drugs for anti-cancer therapy. We demonstrated that one of the drugs predicted to revert the RCC gene signature towards normal kidney, pentamidine, is effective against RCC cells in culture and in a RCC xenograft model. Most importantly, pentamidine slows tumor growth in the 786-O human ccRCC xenograft mouse model. To determine which genes are regulated by pentamidine in a human RCC cell line, 786-O, we treated these cells with pentamidine and performed transcriptional profiling analysis.

Publication Title

Computational repositioning and preclinical validation of pentamidine for renal cell cancer.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP136315
Th1 and T17 activation with and without CB839 treatment
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

Activated T cells differentiate into functional subsets which require distinct metabolic programs. Glutaminase (GLS) converts glutamine to glutamate to provide substrate for the tricarboxylic acid cycle and epigenetic reactions and here we identify a key role for GLS in T cell activation and specification. Though GLS-deficiency diminished T cell activation, proliferation and impaired differentiation of Th17 cells, loss of GLS also increased Tbet and Interferon-? expression and CD4 Th1 and CD8 CTL effector cell differentiation. These changes were mediated by differentially altered gene expression and chromatin accessibility, leading to increased sensitivity of Th1 cells to IL-2 mediated mTORC1 signaling. In vivo, GLS-null T cells failed to drive a Th17-mediated Graft-vs-Host Disease model. Transient inhibition of GLS, however, increased Th1 and CTL T cell numbers in viral and chimeric antigen receptor models. Glutamine metabolism thus has distinct roles to promote Th17 but constrain Th1 and CTL effector cell differentiation. Overall design: Cells were treated with glutaminase1 inhibitor or vehicle

Publication Title

Distinct Regulation of Th17 and Th1 Cell Differentiation by Glutaminase-Dependent Metabolism.

Sample Metadata Fields

Specimen part, Subject

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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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