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accession-icon GSE43134
A mutation in a splicing factor that causes retinitis pigmentosa (RP) has a transcriptome-wide effect on mRNA splicing
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Background: Substantial progress has been made in the identification of sequence elements that control mRNA splicing and the genetic variants in these elements that alter mRNA splicing (referred to as splicing quantitative trait loci -- sQTLs). Genetic variants that affect mRNA splicing in trans are harder to identify because their effects can be more subtle and diffuse, and the variants are not co-located with their targets. We carried out a transcriptome-wide analysis of the effects of a mutation in a ubiquitous splicing factor that causes retinitis pigmentosa (RP) on mRNA splicing, using exon microarrays.

Publication Title

A mutation in a splicing factor that causes retinitis pigmentosa has a transcriptome-wide effect on mRNA splicing.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP078915
Loss of Uhrf1 in neural stem cells leads to activation of retroviral elements and delayed neurodegeneration [E16VZ]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

In order to understand if early epigenetic mechanisms instruct the long-term behaviour of neural stem cells (NSCs) and their progeny, we examined the protein Uhrf1 as it is highly expressed in NSCs of the developing brain and rapidly downregulated upon differentiation. Conditional deletion of Uhrf1 in the developing cerebral cortex resulted in rather normal proliferation and neurogenesis but severe postnatal neurodegeneration. During development, deletion of Uhrf1 resulted in global DNA hypomethylation with a strong activation of the IAP family of endogenous retroviral elements, accompanied by an increase in hydroxy methyl cytosine. Downregulation of Tet enzymes rescued the IAP activation in Uhrf1 cKO cells, suggesting an antagonistic interplay between Uhrf1 and Tet on IAP regulation. As IAP upregulation persists into postnatal stages in the conditional Uhrf1 KO mice, our data show the lack of means to repress IAPs in differentiating neurons that normally never express Uhrf1. The high load of viral proteins and other transcriptional dysregulation ultimately lead to extensive postnatal neurodegeneration. Taken together, these data show that early developmental NSC factors can have long-term effects in neuronal differentiation and survival. Moreover, it highlights how specific the consequences of widespread changes in DNA methylation are for certain classes of retroviral elements. Overall design: Transcriptome analysis in control vs. Uhrf1-deficient brain

Publication Title

Loss of Uhrf1 in neural stem cells leads to activation of retroviral elements and delayed neurodegeneration.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP078910
Loss of Uhrf1 in neural stem cells leads to activation of retroviral elements and delayed neurodegeneration [E16]
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

In order to understand if early epigenetic mechanisms instruct the long-term behaviour of neural stem cells (NSCs) and their progeny, we examined the protein Uhrf1 as it is highly expressed in NSCs of the developing brain and rapidly downregulated upon differentiation. Conditional deletion of Uhrf1 in the developing cerebral cortex resulted in rather normal proliferation and neurogenesis but severe postnatal neurodegeneration. During development, deletion of Uhrf1 resulted in global DNA hypomethylation with a strong activation of the IAP family of endogenous retroviral elements, accompanied by an increase in hydroxy methyl cytosine. Downregulation of Tet enzymes rescued the IAP activation in Uhrf1 cKO cells, suggesting an antagonistic interplay between Uhrf1 and Tet on IAP regulation. As IAP upregulation persists into postnatal stages in the conditional Uhrf1 KO mice, our data show the lack of means to repress IAPs in differentiating neurons that normally never express Uhrf1. The high load of viral proteins and other transcriptional dysregulation ultimately lead to extensive postnatal neurodegeneration. Taken together, these data show that early developmental NSC factors can have long-term effects in neuronal differentiation and survival. Moreover, it highlights how specific the consequences of widespread changes in DNA methylation are for certain classes of retroviral elements. Overall design: Transcriptome analysis in control vs. Uhrf1-deficient brain

Publication Title

Loss of Uhrf1 in neural stem cells leads to activation of retroviral elements and delayed neurodegeneration.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE61335
AKT pathway genes define 5 prognostic subgroups in glioblastoma
  • organism-icon Homo sapiens
  • sample-icon 124 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133B Array (hgu133b)

Description

GBM samples were clusered using gene expression of AKT pathway genes to reveal at least 5 GBM AKT subtypes, having distinct DNA copy number alterations, enrichment in oncogenes and tumor suppressor genes and patterns of expression for PI3K/AKT/mTOR signaling components.

Publication Title

AKT pathway genes define 5 prognostic subgroups in glioblastoma.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE49703
Transcriptional profiles of CCR7lo effector memory human T cell subsets
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The aim of this study was to identify differentially-expressed genes in CCR4hi/CXCR3- and CCR4lo CXCR3+ CCR6+ human Th17 cell subsets

Publication Title

Pro-inflammatory human Th17 cells selectively express P-glycoprotein and are refractory to glucocorticoids.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE49702
Expression profiling of MDR1+ and MDR1- human memory T cells from the blood and clinically-inflamed gut tissue
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The aim of this study was to characterize the transcriptional signature of MDR1+ human memory T cells isolated from clinically inflamed gut tissue, and compare it to local MDR1- memory T cells

Publication Title

Pro-inflammatory human Th17 cells selectively express P-glycoprotein and are refractory to glucocorticoids.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE45417
Expression data from knockdown of ZXDC1/2 in PMA-treated U937
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

ZXDC1 augments the expression of various markers of monocyte/macrophage differentiation when over-expressed in the U937 cell line treated with the phorbol ester PMA. Likewise, knockdown of ZXDC1 restricts the induced expression of these markers. We sought to identify specfic gene targets of ZXDC1 during the process of monocyte/macrophage differentiation in U937 by performing gene expression profiling in cells exhibiting reduced expression of ZXDC1 compared to controls.

Publication Title

The zinc finger transcription factor ZXDC activates CCL2 gene expression by opposing BCL6-mediated repression.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP020490
Single-cell RNA-Seq reveals dynamic, random monoallelic gene expression in mammalian cells
  • organism-icon Mus musculus
  • sample-icon 293 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In the diploid genome, genes come in two copies, which can have different DNA sequence and where one is maternal and one is paternal. In a particular cell, a gene could potentially be expressed from both copies (biallelic expression) or only one (monoallelic). We performed RNA-Sequencing on individual cells, from zygote to the cells of the late blastocyst, and also individual cells from the adult liver. Using first generation crosses between two distantly related mouse strains, CAST/Ei and C57BL/6, we determined the expression separately from the maternal and paternal alleles. We found that half of the genes were expressed by only one allele, randomly so that some cells would express the paternal allele, some the maternal and a few cell both alleles. We also observed the spread of the progressive inactivation of the paternal X chromosome. Overall design: First generation mouse strain crosses were used to study monoallelic expression on the single cell level

Publication Title

Single-cell RNA-seq reveals dynamic, random monoallelic gene expression in mammalian cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP049815
RNA-seq analysis of differences in gene expression between dorsal and ventral MEC
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Neural circuits in the medial entorhinal cortex (MEC) encode an animal’s position and orientation in space. Within the MEC spatial representations, including grid and directional firing fields, have a laminar and dorsoventral organization that corresponds to a similar topography of neuronal connectivity and cellular properties. Yet, in part due to the challenges of integrating anatomical data at the resolution of cortical layers and borders, we know little about the molecular components underlying this organization. To address this we develop a new computational pipeline for high-throughput analysis and comparison of in situ hybridization (ISH) images at laminar resolution. We apply this pipeline to ISH data for over 16,000 genes in the Allen Brain Atlas and validate our analysis with RNA sequencing of MEC tissue from adult mice. We find that differential gene expression delineates the borders of the MEC with neighboring brain structures and reveals its laminar and dorsoventral organization. Our analysis identifies ion channel-, cell adhesion- and synapse-related genes as candidates for functional differentiation of MEC layers and for encoding of spatial information at different scales along the dorsoventral axis of the MEC. Our results support the hypothesis that differences in gene expression contribute to functional specialization of superficial layers of the MEC and dorsoventral organization of the scale of spatial representations. Overall design: Examination of dorsal and ventral regions from 4 replicate samples each containing pooled data from 3-4 mice

Publication Title

Laminar and dorsoventral molecular organization of the medial entorhinal cortex revealed by large-scale anatomical analysis of gene expression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE53455
Expression profiling comparisons of human CD4+ T cells treated with RORgt inhibitors
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The aim of this study was to identify differential gene expression resulting from the inhibition of RORgt in human CD4+ T cells.

Publication Title

Pharmacologic inhibition of RORγt regulates Th17 signature gene expression and suppresses cutaneous inflammation in vivo.

Sample Metadata Fields

Specimen part, Treatment

View Samples
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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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