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accession-icon SRP106321
mRNA-seq data from murine colon adenomas and non-adenoma tissues
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We report that colon adenomas from ApcMin/+ mice not only exhibit similarities in gene expression profile to colon adenomas from azoxymethane / dextran sulfate sodium-treated mice (with activating Ctnnb1 mutations) due to the activation of canonical WNT signaling, but also unique transcriptional changes in the pathways regulating cell cycle progression / proliferation, chromosome segregation / cytoskeletal organization and apoptosis. Subsequent experiments characterized changes in gene expression unique to colon adenomas from ApcMin/+ mice including increases in the H2afv, Map6 and Nsmf transcripts. Overall design: Examination of gene expression profiles in 2 different colon adenoma types with activated canonical WNT signaling, relative to their respective non-adenoma controls

Publication Title

Mutational Mechanisms That Activate Wnt Signaling and Predict Outcomes in Colorectal Cancer Patients.

Sample Metadata Fields

Cell line, Treatment, Subject

View Samples
accession-icon SRP051626
Molecular phenotyping of a test compound (small-molecule neurotransmitter receptor antagonist) in primary human hepatocytes
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge IconIonTorrentProton

Description

Expression profiles of 917 pathway repoter genes were determined by AmpliSeq-RNA in primary human hepatocytes treated with Diclofenac and a test compound 3 hours after treatment. Overall design: Vehicle control, diclofenac, and three doses of the test compound (small-molecule neurotransmitter receptor antagonist) were applied to three primary cell lines, with three biological replicates in each group. In some treatment groups read-outs were only available for two samples. All together 41 samples were profiled.

Publication Title

Pathway reporter genes define molecular phenotypes of human cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE100699
Expression data from dosing an antisense oligonucleotide in mice
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identifying and avoiding off-target effects of RNase H-dependent antisense oligonucleotides in mice.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE100698
Expression data from dosing four different antisense oligonucleotides in mice II
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to globally profile the gene expression changes observed in liver after 3 days when dosing antisense oligonucleotides in mice

Publication Title

Identifying and avoiding off-target effects of RNase H-dependent antisense oligonucleotides in mice.

Sample Metadata Fields

Sex, Specimen part, Treatment

View Samples
accession-icon GSE100697
Expression data from dosing an antisense oligonucleotide in mice I
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to globally profile the gene expression changes observed in liver after 3 days when dosing an antisense oligonucleotide in mice

Publication Title

Identifying and avoiding off-target effects of RNase H-dependent antisense oligonucleotides in mice.

Sample Metadata Fields

Sex, Specimen part, Treatment

View Samples
accession-icon SRP071232
Modeling the Neuropathology of Tuberous Sclerosis with Human Stem Cells Reveals a Role for Inflammation and Angiogenic Growth Factors [Cell Model]
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Tuberous sclerosis complex (TSC) is a rare genetic disease characterized by mTOR hyperfunction induced benign tumor growths in multiple organs and neurological symptoms. Because the molecular pathology is highly complex and the etiology poorly understood we employed a defined human neuronal model with a single mTOR activating mutation to dissect the disease-relevant molecular responses driving the neuropathology. TSC2 deficient neural stem cells showed severely reduced neuronal functional maturation and characteristics of astrogliosis instead. Accordingly, transcriptome analysis uncovered an inflammatory response and increased metabolic activity, while ribosome profiling revealed excessive translation of ribosomal transcripts and higher synthesis rates of angiogenic growth factors. Treatment with mTOR inhibitors corrected translational alterations but not transcriptional dysfunction. These results extend our understanding of the molecular pathophysiology of TSC brain lesions, and suggest phenotype-tailored pharmacological treatment strategies. Overall design: Two TSC+/- cell lines and two TSC-/- cell lines were independently generated from wild-type human embryonic stem cells by genome editting with zinc finger nucleases. Two cell lines were handled in the same way but without any known human gene editted and they are used as negative controls. Two independent biological replicates of each of the six cell lines are profiled with ribosome profiling technique.

Publication Title

Genomic analysis of the molecular neuropathology of tuberous sclerosis using a human stem cell model.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP042186
White-to-brown metabolic conversion of human adipocytes by JAK inhibition
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The rising incidence of obesity and related disorders such as diabetes and heart disease has focused considerable attention on the discovery of novel therapeutics. One promising approach has been to increase the number or activity of brown-like adipocytes in white adipose depots, as this has been shown to prevent diet-induced obesity and reduce the incidence and severity of type 2 diabetes. Thus, the conversion of fat-storing cells into metabolically active thermogenic cells has become an appealing therapeutic strategy to combat obesity. Here, we report a screening platform for the identification of small molecules capable of promoting a white-to-brown metabolic conversion in human adipocytes. We identified two inhibitors of Janus Kinase (JAK) activity with no precedent in adipose tissue biology that permanently confer brown-like metabolic activity to white adipocytes. Importantly, these metabolically converted adipocytes exhibit elevated UCP1 expression and increased mitochondrial activity. We further found that repression of interferon signalling and activation of hedgehog signalling in JAK-inactivated adipocytes contributes to the metabolic conversion observed in these cells. Our findings highlight a novel role for the JAK/STAT pathway in the control of adipocyte function and establish a platform to identify compounds for the treatment of obesity. Overall design: Human pluripotent stem-cell derived mesenchymal progenitor cells (PSC-MPCs), white adipose cells (PSC-WA), and brown adipose cells (PSC-BA) were treated with DMSO (as control), a JAK3-inhibitor compound, and a SYK-inhibitor compound respectively. Transcriptomic expression profiling was performed at 24 hours and 7 days respectively. Three biological replicates are available for each condition defined by cell type, compound, and time.

Publication Title

White-to-brown metabolic conversion of human adipocytes by JAK inhibition.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE4488
Expression data from whole blood
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

While identification of genes mutated in high penetrance tumor predisposition syndromes has been a success story, much less progress has been made in characterizing the genetic basis of low penetrance tumor susceptibility. Combining recently introduced chip-based technologies with traditional genealogy work we have identified inactivating germline mutations in patients with pituitary adenoma predisposition (PAP).

Publication Title

Pituitary adenoma predisposition caused by germline mutations in the AIP gene.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE28492
miRNA and mRNA expression profiling of human immune cell subsets
  • organism-icon Homo sapiens
  • sample-icon 78 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Blood consists of different cell populations with distinct functions and correspondingly, distinct gene expression profiles. In this study, global miRNA expression profiling was performed across a panel of nine human immune cell subsets (neutrophils, eosinophils, monocytes, B cells, NK cells, CD4 T cells, CD8 T cells, mDCs and pDCs) to identify cell-type specific miRNAs. mRNA expression profiling was performed on the same samples, to determine if miRNAs specific to certain cell types down-regulated expression levels of their target genes. Six cell-type specific miRNAs (miR-143; neutrophil specific, miR-125; T cells and neutrophil specific, miR-500; monocytes and pDC specific, miR-150; lymphoid cells specific, miR-652 and miR-223; both myeloid cells specific) were negatively correlated with expression of their predicted target genes. These results were further validated using an independent cohort where similar immune cell subsets were isolated and profiled for both miRNA and mRNA expression. miRNAs negatively correlated with target gene expression in both cohorts were identified as candidates for miRNA-mRNA regulatory pairs and were used to construct a cell-type specific regulatory network. miRNA-mRNA pairs formed two distinct clusters in the network corresponding to myeloid (nine miRNAs) and lymphoid lineages (two miRNAs). Several myeloid specific miRNAs targeted common genes including ABL2, EIF4A2, EPC1 and INO80D; these common targets were enriched for genes involved in the regulation of gene expression (p < 9.0E-7). Those miRNA might therefore have significant further effect on gene expression by repressing the expression of genes involved in transcriptional regulation. The miRNA and mRNA expression profiles reported in this study form a comprehensive transcriptome database of various human blood cells and serve as a valuable resource for elucidating the role of miRNA mediated regulation in the establishment of immune cell identity.

Publication Title

Expression profiling of human immune cell subsets identifies miRNA-mRNA regulatory relationships correlated with cell type specific expression.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE28490
mRNA expression profiling of human immune cell subset (Roche)
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Blood consists of different cell populations with distinct functions and correspondingly, distinct gene expression profiles. In this study, global miRNA expression profiling was performed across a panel of nine human immune cell subsets (neutrophils, eosinophils, monocytes, B cells, NK cells, CD4 T cells, CD8 T cells, mDCs and pDCs) to identify cell-type specific miRNAs. mRNA expression profiling was performed on the same samples, to determine if miRNAs specific to certain cell types down-regulated expression levels of their target genes. Six cell-type specific miRNAs (miR-143; neutrophil specific, miR-125; T cells and neutrophil specific, miR-500; monocytes and pDC specific, miR-150; lymphoid cells specific, miR-652 and miR-223; both myeloid cells specific) were negatively correlated with expression of their predicted target genes. These results were further validated using an independent cohort where similar immune cell subsets were isolated and profiled for both miRNA and mRNA expression. miRNAs negatively correlated with target gene expression in both cohorts were identified as candidates for miRNA-mRNA regulatory pairs and were used to construct a cell-type specific regulatory network. miRNA-mRNA pairs formed two distinct clusters in the network corresponding to myeloid (nine miRNAs) and lymphoid lineages (two miRNAs). Several myeloid specific miRNAs targeted common genes including ABL2, EIF4A2, EPC1 and INO80D; these common targets were enriched for genes involved in the regulation of gene expression (p < 9.0E-7). Those miRNA might therefore have significant further effect on gene expression by repressing the expression of genes involved in transcriptional regulation. The miRNA and mRNA expression profiles reported in this study form a comprehensive transcriptome database of various human blood cells and serve as a valuable resource for elucidating the role of miRNA mediated regulation in the establishment of immune cell identity.

Publication Title

Expression profiling of human immune cell subsets identifies miRNA-mRNA regulatory relationships correlated with cell type specific expression.

Sample Metadata Fields

Specimen part

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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