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accession-icon GSE38196
ATFS-1 mediates a protective transcription program during mitochondrial stress
  • organism-icon Caenorhabditis elegans
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

ATFS-1 has been shown to regulate transcription of mitochondrial chaperone genes such as mtHsp70/hsp-6 and hsp-60 in response to mitocondrial stress. To identify the entire ATFS-1-mediated response, we compared the transcript profiles from wild-type and atfs-1(tm4525) worms raised in the absence and presence of mitochondrial stress.

Publication Title

Mitochondrial import efficiency of ATFS-1 regulates mitochondrial UPR activation.

Sample Metadata Fields

Specimen part

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accession-icon GSE19599
Expression data for normal flow sorted hematopietic cell subpopulations
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling of normal hematopoietic cell subpopulations

Publication Title

Gene expression signatures in childhood acute leukemias are largely unique and distinct from those of normal tissues and other malignancies.

Sample Metadata Fields

Specimen part

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accession-icon GSE11428
Expression data from LNCaP and abl cells
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Androgen receptor (AR) is a ligand-dependent transcription factor that plays a key role in the onset and progression of prostate cancer. We investigated AR-induced gene expression in prostate cancer cells LNCaP and abl by transfecting siAR / siControl or treating cells with androgen (DHT) over a time course.

Publication Title

Androgen receptor regulates a distinct transcription program in androgen-independent prostate cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9107
Expression data of Drosophila 3rd instar larval wing discs taken from strains selected for wing shape.
  • organism-icon Drosophila melanogaster
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

We measured gene expression across the whole genome in a panel of lines selected for a wing shape trait (angular offset). The lines were created in separate experiments, originating from two widely separated populations, and including multiple replicates of one population, but all were created using the same selection regime and trait. Here we evaluate the data with two objectives: 1) to identify candidate wing shape genes for future testing and validation, and 2) to assess variation among lines in the outcome of identical selection regimes

Publication Title

Microarray analysis of replicate populations selected against a wing-shape correlation in Drosophila melanogaster.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP045378
Quantitative Analysis of Wild Type and Dicer1-ifKO Hippocampal Transcriptomes (mRNA and small RNA) Through Next Generation Sequencing (mRNA-Seq).
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Methods: CaMKIIa-creERT2 (Erdmann et al., 2007) and Dicer1f/f (Harfe et al., 2005) were crossed to produce inducible forebrain-restricted Dicer1 knockout mice (Dicer-ifKO) mice. Hippocampal mRNA profiles of 3-month-old wild-type (WT) and (Dicer-ifKO) mice were generated by deep sequencing, in triplicate, using Illumina HiSeq 2500. Each sample included total RNA isolated from the hippocampus of 3 mice. In total, 12 mice per genotype were used. The sequence reads that passed quality filters were mapped to reference genome (GRCm38/mm10) using Bowtie 2 (2.0.5) and TopHat (2.0.6). SAM/BAM files were further processed with Samtools (0.1.18). Read count quantitations were obtained using Seqmonk (0.26.0). Normalization of read counts and differential expression analysis between genotypes was carried out using DESeq2 R package from Bioconductor (Release 2.13). qRT–PCR validation was performed using SYBR Green assays. Results: We mapped about 13-14 million sequence reads per sample to the mouse genome (build GRCm38/mm10) and quantified 76,938 annotated transcripts. DESeq2 R package was used to normalize the counts and perform the differential expression. Differential analysis output was filtered by FDR threshold (padj < 0.1). This approach led us to identify 641 gene isoforms, corresponding to 314 genes that were differentially regulated in the mouse hippocampus upon Dicer ablation. Conclusions: We extend here the characterization of inducible forebrain-restricted Dicer1 mutants confirming the initial memory improvement. Moreover, we describe several novel phenotypes associated with early Dicer loss in the mature brain including an exacerbated response to seizures, increased CA1 neuron excitability, a pronounced weight gain and enhanced induction of immediate early genes (IEGs) in relevant neuronal nuclei. To identify candidate genes that could explain these phenotypes, we conducted two complementary genomic screens for the miRNAs primarily affected and their targets. Overall, our results explain both the initial and late consequences of Dicer loss in excitatory neurons and indicate that Dicer and the miRNA system play a critical role regulating neuronal homeostasis and responsiveness. Overall design: Hippocampal mRNA profiles of 3-month-old wild-type (WT) and Dicer-ifKO (3 weeks upon tamoxifen administration) male mice were generated by deep sequencing, in triplicate, using Illumina HiSeq 2500. Each sample included total RNA isolated from the hippocampus of 3 mice. In total, 12 mice per genotype were used.

Publication Title

Blocking miRNA Biogenesis in Adult Forebrain Neurons Enhances Seizure Susceptibility, Fear Memory, and Food Intake by Increasing Neuronal Responsiveness.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP059270
Transcriptome Engineering Promotes a Fermentative Transcriptional State
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 83 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina HiSeq 2000, Illumina Genome Analyzer IIx

Description

Purpose: The ability to rationally manipulate the transcriptional states of cells would be of great use in medicine and bioengineering. We have developed a novel algorithm, NetSurgeon, which utilizes genome-wide gene regulatory networks to identify interventions that force a cell toward a desired expression state. Results: We used NetSurgeon to select transcription factor deletions aimed at improving ethanol production in S. cerevisiae cultures that are catabolizing xylose. We reasoned that interventions that move the transcriptional states of cells utilizing xylose toward the fermentative state typical of cells that are producing ethanol rapidly (while utilizing glucose) might improve xylose fermentation. Some of the interventions selected by NetSurgeon successfully promoted a fermentative transcriptional state in the absence of glucose, resulting in strains with a 2.7-fold increase in xylose import rates, a 4-fold improvement in xylose integration into central carbon metabolism, or a 1.3-fold increase in ethanol production rate. Conclusions: We conclude by presenting an integrated model of transcriptional regulation and metabolic flux that will enable future metabolic engineering efforts aimed at improving xylose fermentation to prioritize functional regulators of central carbon metabolism. Overall design: Mutant and wildtype S. cerevisiae cells were put into 48 hour aerobic batch fermentations of synthetic complete medium supplmented with 2% glucose and 5% xylose and culture samples were taken at 4 hours and 24 hours for transcriptional profiling performed by RNA-Seq analysis. In addition, wildtype S. cerevisiae cells were grown in various single carbon sources for 12 hours and culture samples were taken for transcriptional profiling performed by RNA-Seq analysis.

Publication Title

Model-based transcriptome engineering promotes a fermentative transcriptional state in yeast.

Sample Metadata Fields

Subject

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accession-icon GSE61093
Loss of the tumor suppressor gene AIP mediates the browning of human brown fat tumors
  • organism-icon Homo sapiens
  • sample-icon 85 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Human brown fat tumors (hibernomas) display concomitant loss of the tumor suppressor genes MEN1 and AIP. In the present study, we hypothesized that the brown fat phenotype is attributed to these mutations. Accordingly, we demonstrate that silencing of AIP in human brown preadipocytic and white fat cell lines results in the induction of the brown fat marker UCP1. In human adipocytic tumors, loss of MEN1 was found both in white (one out of 51 lipomas) and brown fat tumors. In contrast, concurrent loss of AIP was always accompanied by a brown fat morphology. We conclude that this white-to-brown phenotype switch in brown fat tumors is mediated by the loss of AIP.

Publication Title

Loss of the tumour suppressor gene AIP mediates the browning of human brown fat tumours.

Sample Metadata Fields

Specimen part

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accession-icon GSE26764
Gene expression profiling of miR-regulated genes in proliferating C2C12
  • organism-icon Mus musculus
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to detail the global programme of gene expression upon the over-expression of seven different differentiation-associated, E1A-regulated microRNAs.

Publication Title

Differentiation-associated microRNAs antagonize the Rb-E2F pathway to restrict proliferation.

Sample Metadata Fields

Cell line

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accession-icon GSE28457
Gene expression profile of E1A infected C2C12 myotubes
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Proliferating C2C12 myoblasts were induced to differentiate into myotubes and then infected with adenovirus expressing E1A (Ad-E1A), which induces cell cycle re-entry and dedifferentiation.

Publication Title

Differentiation-associated microRNAs antagonize the Rb-E2F pathway to restrict proliferation.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Time

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accession-icon SRP071580
Interleukin 4 induces apoptosis of acute myeloid leukemia cells in a Stat6-dependent manner
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Acute myeloid leukemia (AML) is associated with poor prognosis, and there is a strong need to develop new therapeutic strategies to improve treatments. We performed a cytokine screen with 114 recombinant proteins to identify selective negative regulators of primitive murine AML cells relative to normal bone marrow cells. The top candidate identified was interleukin 4 (IL4), as it showed the most selective inhibition of leukemia cell growth. Stimulating leukemia cells ex vivo with IL4 and transplanting the cells into mice resulted in reduced leukemia burden and prolonged survival compared with controls. In contrast, IL4 did not inhibit the function of normal hematopoietic stem and progenitor cells in long-term bone marrow repopulation assays. Moreover, we found that IL4 treatment of leukemia cells induced Stat6 phosphorylation, and that leukemia cells with Stat6 knocked out using CRISPR/Cas9-genetic engineering were partially resistant to IL4 stimulation, revealing Stat6 as a critical mediator of the IL4 effect. To evaluate whether IL4 has in vivo therapeutic efficacy, we expressed IL4 ectopically in leukemia cells in vivo and also injected IL4 into leukemic mice; both strategies resulted in the suppression of the leukemia cell burden and increased survival. Further analysis revealed that IL4 treatment induces apoptosis in the leukemia cells. Importantly, IL4 exposure also inhibited the growth and survival of primary AML patient cells. In summary, these findings demonstrate that IL4 selectively inhibits AML cells in a Stat6-dependent manner, thus revealing IL4 as a candidate therapeutic agent in AML. IL4 (ProSpec, East Brunswick NJ, USA) was resuspended following the provider guidelines and stored in aliquotes at -80 °C. Mouse MLL-AF9 leukemia cells were provided by Dr. Benjamin Ebert (Brigham and Women’s Hospital, Boston MA, USA). The murine leukemia cells were cultured in SFEM (StemCell Tech) supplemented with 1% penicillin/streptomycin at 37 °C with 5% CO2. Overall design: Mouse MLL-AF9 leukemia cells were grown in 20 ng/mL IL3 with or without IL4 (100 ng/mL) for 18 hours.

Publication Title

Interleukin 4 induces apoptosis of acute myeloid leukemia cells in a Stat6-dependent manner.

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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