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accession-icon GSE38598
Hepatocytes treated with IFN-alpha or IFN-gamma and acute hepatitis C
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Interferon-γ-stimulated genes, but not USP18, are expressed in livers of patients with acute hepatitis C.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment, Subject, Time

View Samples
accession-icon GSE38147
Gene expression profiling of primary human hepatocytes treated with IFN-alpha or IFN-gamma
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Approximately 50% of patients with chronic hepatitis C (CHC) have a sustained virologic response (SVR) to treatment with pegylated interferon (pegINF)- and ribavirin. Non-response to treatment is associated with constitutively increased expression of IFN-stimulated genes (ISGs) in the liver. Treatment of patients with acute hepatitis C (AHC) is more effective, with SVR rates >90%. We investigated mechanisms of the different responses of patients with CHC and AHC to pegIFN- therapy. We analyzed IFN signaling and ISG expression in liver samples from patients with acute hepatitis C (AHC), patients with chronic hepatitis (CHC), and individuals without hepatitis C (controls) using microarray, immunohistochemical, and protein analyses. Findings were compared with those from primary human hepatocytes stimulated with IFN- or IFN-, as reference sets. Expression levels of 100s of genes, primarily those regulated by IFN-, were altered in liver samples from patients with AHC compared with controls. Expression of IFN-stimulated genes was induced in liver samples from patients with AHC, whereas expression of IFN-stimulated genes was induced in samples from patients with CHC. In an expression analysis of negative regulators of IFN- signaling, we did not observe differences in expression of SOCS1 or SOCS3 between liver samples from patients with AHC and those with CHC. However, USP18 (another negative regulator of IFN- signaling), was upregulated in liver samples of patients with CHC that did not respond to therapy, but not in AHC. In conclusion, differences in expression of ISGs might account for the greater response of patients with AHC, compared to those with CHC, to treatment with pegINF- and ribavirin. Specifically, USP18 is upregulated in liver samples of patients with CHC that do not respond to therapy, but not in patients with AHC.

Publication Title

Interferon-γ-stimulated genes, but not USP18, are expressed in livers of patients with acute hepatitis C.

Sample Metadata Fields

Specimen part, Treatment, Subject, Time

View Samples
accession-icon GSE38597
Gene expression profiling of 6 acute hepatitis C patients
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Approximately 50% of patients with chronic hepatitis C (CHC) have a sustained virologic response (SVR) to treatment with pegylated interferon (pegINF)- and ribavirin. Non-response to treatment is associated with constitutively increased expression of IFN-stimulated genes (ISGs) in the liver. Treatment of patients with acute hepatitis C (AHC) is more effective, with SVR rates >90%. We investigated mechanisms of the different responses of patients with CHC and AHC to pegIFN- therapy. We analyzed IFN signaling and ISG expression in liver samples from patients with acute hepatitis C (AHC), patients with chronic hepatitis (CHC), and individuals without hepatitis C (controls) using microarray, immunohistochemical, and protein analyses. Findings were compared with those from primary human hepatocytes stimulated with IFN- or IFN-, as reference sets. Expression levels of 100s of genes, primarily those regulated by IFN-, were altered in liver samples from patients with AHC compared with controls. Expression of IFN-stimulated genes was induced in liver samples from patients with AHC, whereas expression of IFN-stimulated genes was induced in samples from patients with CHC. In an expression analysis of negative regulators of IFN- signaling, we did not observe differences in expression of SOCS1 or SOCS3 between liver samples from patients with AHC and those with CHC. However, USP18 (another negative regulator of IFN- signaling), was upregulated in liver samples of patients with CHC that did not respond to therapy, but not in AHC. In conclusion, differences in expression of ISGs might account for the greater response of patients with AHC, compared to those with CHC, to treatment with pegINF- and ribavirin. Specifically, USP18 is upregulated in liver samples of patients with CHC that do not respond to therapy, but not in patients with AHC.

Publication Title

Interferon-γ-stimulated genes, but not USP18, are expressed in livers of patients with acute hepatitis C.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon SRP166289
Recruiting Endogenous ADARs with Antisense Oligonucleotides to Reprogram the Transcriptome
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Huge efforts are made to engineer safe and efficient genome editing tools. An alternative might be the harnessing of ADAR-mediated RNA editing. We now present the engineering of chemically optimized antisense oligonucleotides that recruit endogenous human ADARs to edit endogenous transcripts in a simple and programmable way, an approach we refer to as RESTORE. Notably, RESTORE was markedly precise, and there was no evidence for perturbation of the natural editing homeostasis. We applied RESTORE to a panel of standard human cell lines, but also to several human primary cells including hepatocytes. In contrast to other RNA and DNA editing strategies, this approach requires only the administration of an oligonucleotide, circumvents the ectopic expression of proteins, and thus represents an attractive platform for drug development. In this respect we have shown the repair of the PiZZ mutation causing a1-antitrypsin deficiency and the editing of phosphotyrosine 701 in STAT1. Overall design: Identification of off-target editing events and Interferon-a influence in HeLa cell line transfected with an ASO for RNA editing by RNA-Seq, 2 samples (ASO +/- IFN) , 2 control sample (+/-IFN), 2 biologically independent experiments for each sample, 8 samples in total

Publication Title

Precise RNA editing by recruiting endogenous ADARs with antisense oligonucleotides.

Sample Metadata Fields

Cell line, Treatment, Subject

View Samples
accession-icon SRP040306
Transcriptome of wild-type and G9a mutant upon viral challenge
  • organism-icon Drosophila melanogaster
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The aim of the study was to generate transcriptome of wild-type and G9a mutant adult flies (females) 24h post-infection with Drosophila C Virus (DCV). Overall design: We generated 8 different data sets. For wild-type controls and G9a mutants, we performed both mock and DCV infection, and collected both whole flies and fat bodies. All flies were 3-5 days old females.

Publication Title

The epigenetic regulator G9a mediates tolerance to RNA virus infection in Drosophila.

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon SRP092251
Integrative analysis of single-cell ATAC-seq and RNA-seq using Self-Organizing Maps [scRNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 568 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We have developed a computational approach that uses self-organizing maps for integrative genomic analysis. We utilize this approach to identify the single-cell chromatin and transcriptomic profiles during mouse pre-B cell differentiation. Overall design: We use the C1 Fluidigm system to profile gene expression and chromatin accessibility in single-cells during pre-B cell differentiation.

Publication Title

Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing Maps.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE57434
Transcriptional response of Drosophila S2 cells in response the Drosophila C Virus infection (DCV)
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

We infected Drosophila S2 cells (invitrogen) with Drosophila C virus (DCV) (Multiplicity of Infection = 10), and harvested samples for further analysis at 8 and 24 hours post-infection.

Publication Title

The heat shock response restricts virus infection in Drosophila.

Sample Metadata Fields

Cell line, Time

View Samples
accession-icon SRP043525
Extensive crosstalk between lncRNAs and mRNAs in mouse stem cells
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To determine the temporal variation of mRNA levels, we collected and sequenced poly-adenylated RNA from all cell extracts, cytoplasmic and nuclear fractions of a conditional Dicer mutant [DTCM23/49 XY (Nesterova et al. 2008)] mouse Embryonic Stem Cells before induction of Dicer excision (day 0) and at days 4, 8, 10 and 12 following Dicer loss of function. coverage. Overall design: RNA from whole cell extracts was collected at days 0, 4, 8, 10 and 12 following loss of Dicer function and from the cytoplasmic and nuclear fractions of cell at day 0 and 12. Three biological replicates were obtained for all samples. Poly-adenylated directional 100 base paired-end sequencing libraries were prepared for all extracts and sequenced by BGI solutions (Hong Kong).

Publication Title

Extensive microRNA-mediated crosstalk between lncRNAs and mRNAs in mouse embryonic stem cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE27272
Comprehensive Study of Tobacco Smoke-Related Transcriptome Alterations in Maternal and Fetal Cells
  • organism-icon Homo sapiens
  • sample-icon 183 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

Maternal smoking has a severe negative effect on all stages of pregnancy that in consequence impairs fetal growth and development. Tobacco smoke-related defects are well established at the clinical level; however, little is known about molecular mechanisms underlying these pathological conditions. We thus employed a genomic approach to determine transcriptome alterations induced by maternal smoking in pregnancy. We assayed gene expression profiles in peripheral blood (M) leukocytes and placentas (PL) of pregnant smokers and those without significant exposure, and in cord blood (D) leukocytes of their babies. Comparative analyses defined significant deregulation of 193 genes in M cells, 329 genes in placentas, and 49 genes in D cells of smokers. These genes were mainly involved in xenobiotic metabolism, oxidative stress, inflammation, immunity, hematopoiesis, trophoblast differentiation, and vascularization. Functional annotation of the deregulated genes outlined processes and pathways affected by tobacco smoke. In smoker newborns, we identified several deregulated pathways associated with autoimmune diseases. The study demonstrates a limited ability of placenta to modulate toxic effects of maternal tobacco use at the gene expression level.

Publication Title

Transcriptome alterations in maternal and fetal cells induced by tobacco smoke.

Sample Metadata Fields

Age, Specimen part, Subject

View Samples
accession-icon GSE30032
Deregulation of Gene Expression induced by Environmental Tobacco Smoke Exposure in Pregnancy
  • organism-icon Homo sapiens
  • sample-icon 104 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

Passive smoke intake by pregnant women may have detrimental effects such as spontaneous abortion, lower birth weight, stillbirth, and reduced infant lung function. To extend our knowledge on molecular effects of tobacco smoke exposure in pregnancy, we analyzed transcriptome alterations in passive smokers (PS) and compared them to those in active smokers (AS). Using Illumina Expression Beadchip with 24,526 transcript probes, gene expression patterns were assayed in placentas from PS (N=25) exposed to environmental tobacco smoke (ETS) throughout pregnancy and non-exposed (NS) counterparts (N=35), and in cord blood cells from their newborns. The ETS exposure was evaluated by questionnaire disclosure and cotinine measurement in maternal and cord bloods. A total of 196 genes were significantly deregulated in placentas of PS compared to NS. These genes were primary associated with extracellular matrix, apoptosis, blood clotting, response to stress, embryonic morphogenesis, and lipid metabolism. Cord blood of newborns of PS displayed differential expression of 116 genes encoding mainly neuronal factors, regulators of immunologic response, and protooncogenes. Gene ontology analyses highlighted some important biological processes that might be associated with placental insufficiency and fetal growth restriction in PS, such as fatty acid catabolism, coagulation, regulation of growth, and response to steroid hormone stimulus. The study demonstrates that even low dose exposure to ETS during pregnancy leads to the significant deregulation of transcriptional regulation in placental and fetal cells. The data suggest the effect of ETS on the fetus is primary indirect, mediated via deregulation of placental functions. Comparison of PS and AS indicated that ETS exposure and active smoking in pregnancy partly employ the same molecular mechanisms.

Publication Title

Deregulation of gene expression induced by environmental tobacco smoke exposure in pregnancy.

Sample Metadata Fields

Age

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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