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accession-icon GSE135917
Subcutaneous fat transcriptome in obstructive sleep apnea and after treatment with CPAP
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Obstructive sleep apnea (OSA) has been linked to dysregulated metabolic states and treatment of sleep apnea may improve these conditions. Subcutaneous adipose tissue is a readily samplable fat depot that plays an important role in regulating metabolism. However, neither the pathophysiologic consequences of OSA nor the effects of continuous positive airway pressure (CPAP) in altering this compartment’s molecular pathways are understood. This study aimed to systematically identify subcutaneous adipose tissue transcriptional programs modulated in OSA and in response to its effective treatment with CPAP. Two subject groups were investigated: Study Group 1 was comprised of 10 OSA and 8 controls; Study Group 2 included 24 individuals with OSA studied at baseline and following CPAP. For each subject, genome-wide gene expression measurement of subcutaneous fat was performed. Differentially activated pathways elicited by OSA (Group 1) and in response to its treatment (Group 2) were determined using network and Gene Set Enrichment Analysis (GSEA). In Group 2, treatment of OSA with CPAP improved apnea hypopnea index, daytime sleepiness, and blood pressure, but not anthropometric measures. In Group 1, GSEA revealed many up-regulated gene sets in OSA subjects, most of which were involved in immuno-inflammatory (e.g., interferon-γ signaling), transcription, and metabolic processes such as adipogenesis. Unexpectedly, CPAP therapy in Group 2 subjects was also associated with up-regulation of several immune pathways as well as cholesterol biosynthesis. Collectively, our findings demonstrate that OSA alters distinct inflammatory and metabolic programs in subcutaneous fat, but these transcriptional signatures are not reversed with short-term effective therapy.

Publication Title

Obstructive sleep apnea and CPAP therapy alter distinct transcriptional programs in subcutaneous fat tissue.

Sample Metadata Fields

Sex, Age

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accession-icon GSE53759
Genomic characterization of ovarian cancer spheroids
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Spheroids are 3D multi-cell aggregates formed in non-addherent culture conditions. In ovarian cancer (OC), they serve as a vehicle for cancer cell dissemination in the peritoneal cavity. We investigated genes and networks upregulated in three dimensional (3D) versus two-dimensional (2D) culture conditions by Affymetrix gene expression profiling and identified ALDH1A1, a cancer stem cell marker as being upregulated in OC spheroids. Network analysis confirmed ALDH1A1 upregulation in spheroids in direct connection with elements of the -catenin pathway. A parallel increase in the expression levels of -catenin and ALDH1A1 was demonstrated in spheroids vs. monolayers an in successive spheroid generations by using OC cell liness and primary OC cells. The percentage of Aldefluor positive cells was significantly higher in spheroids vs. monolayers in IGROV1, A2780, SKOV3, and primary OC cells. B-catenin knock-down decreased ALDH1A1 expression and chromatin immunoprecipitation demonstrated that -catenin directly binds to the ALDH1A1 promoter. Both siRNA mediated -catenin knock-down and a novel ALDH1A1 small molecule enzymatic inhibitor described here for the first time, decreased the number of OC spheroids (p<0.001) and cell viability. These data strongly support the role of -catenin regulated ALDH1A1 in the maintenance of OC spheroids and of a stem cell phenotype and propose new ALDH1A1 inhibitors targeting this cell population.

Publication Title

β-Catenin-regulated ALDH1A1 is a target in ovarian cancer spheroids.

Sample Metadata Fields

Specimen part

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accession-icon GSE56447
Time series expression data during phosphate limitation for E. coli K12 JP6015/pMU91
  • organism-icon Escherichia coli
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

A fermentation strategies with phosphate feeding was applied to elongate transition inti phosphate limitation for an tryptophan overproducing E. coli strain

Publication Title

Phosphate limited fed-batch processes: impact on carbon usage and energy metabolism in Escherichia coli.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE31912
Gene expression profile in MCF7 breast cancer cells after 78 functionallly important molecules were knocked down using siRNA.
  • organism-icon Homo sapiens
  • sample-icon 87 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Affymetrix microarray data was generated from MCF7 breast cancer cells treated in vitro with siRNAs against 78 transcription factors and signalling molecules.

Publication Title

Cell cycle gene networks are associated with melanoma prognosis.

Sample Metadata Fields

Cell line

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accession-icon GSE31534
Gene expression profile in A375 melanoma cells after 45 functionally important molecules were knocked down using siRNA
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Affymetrix microarray data were generated from A375 melanoma cells treated in vitro with siRNAs against 45 transcription factors and signalling molecules.

Publication Title

Cell cycle gene networks are associated with melanoma prognosis.

Sample Metadata Fields

Cell line

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accession-icon GSE38007
Oncogenic BRAF regulates oxidative metabolism via PGC1 and MITF
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Gene expression signatures were measured in logarithmic growing cultures

Publication Title

Oncogenic BRAF regulates oxidative metabolism via PGC1α and MITF.

Sample Metadata Fields

Specimen part

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accession-icon SRP153550
RNA-seq analysis comparing gene expression in Drosophila sea mutants and controls
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The goal of this study was to determine how decreased mitochondrial citrate export influences gene expression in Drosophila larvae. RNA was isolated from Drosopohila sea mutants, which exhibiti decreased mitochondrial citrate transport activity, and a genetically-matched control strain during mid-L3 development. Overall design: Larvae were collected as described in Li, H., Tennessen, J. M. Preparation of Drosophila Larval Samples for Gas Chromatography-Mass Spectrometry (GC-MS)-based Metabolomics. J. Vis. Exp. (136), e57847, doi:10.3791/57847 (2018). RNA was purified from staged mid-L3 larvae using a RNeasy Mini Kit (Qiagen). Sequencing was performed using an Illumina NextSeq500 platform with 75 bp sequencing module generating 41 bp paired-end reads. After the sequencing run, demultiplexing was performed with bcl2fastq v2.20.0.422.

Publication Title

A <i>Drosophila</i> model of combined D-2- and L-2-hydroxyglutaric aciduria reveals a mechanism linking mitochondrial citrate export with oncometabolite accumulation.

Sample Metadata Fields

Subject

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accession-icon SRP074361
Altered Neocortical Gene Expression, Brain Overgrowth and Functional Over-Connectivity in Chd8 Haploinsufficient Mice
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Truncating CHD8 mutations are amongst the highest confidence risk factors for autism spectrum disorders (ASD) identified to date. Here, we report that Chd8 heterozygous mice display increased brain size, motor delay, hypertelorism, pronounced hypoactivity, and anomalous responses to social stimuli. Whereas gene expression in the neocortex is only mildly affected at mid gestation, over 600 genes are differentially expressed in the early postnatal neocortex. Genes involved in cell adhesion and axon guidance are particularly prominent amongst the downregulated transcripts. Resting-state functional MRI identified increased synchronized activity in corticohippocampal and auditory-parietal networks in Chd8 heterozygous mutant mice, implicating altered connectivity as a potential mechanism underlying the behavioral phenotypes. Together, these data suggest that altered brain growth and diminished expression of important neurodevelopmental genes that regulate long-range brain wiring are followed by distinctive anomalies in functional brain connectivity in Chd8 +/- mice. Human imaging studies have reported altered functional connectivity in ASD patients, with long-range under-connectivity seemingly more frequent. Our data suggest that CHD8 haploinsufficiency represents a specific subtype of ASD where neuropsychiatric symptoms are underpinned by long-range over-connectivity. Overall design: RNA was isolated from microdissected cortices at E12.5 (both hemispheres) and P5 (one hemisphere and DNase-treated using the Direct-zol RNA MiniPrep kit (Zymo Research) according to the manufacturer?s instructions (n = 3 per experimental group). cDNA was end-repaired, adaptor-ligated, and A-tailed. Samples were sequenced over 2 lanes of the Illumina HiSEq 4000 platform.

Publication Title

Altered Neocortical Gene Expression, Brain Overgrowth and Functional Over-Connectivity in Chd8 Haploinsufficient Mice.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE11203
Nodal points and complexity of Notch-Ras signal integration
  • organism-icon Drosophila melanogaster
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

Metazoans utilize a handful of highly conserved signaling pathways to create a signaling backbone that governs all stages of development, by providing spatial and temporal cues that influence gene expression. How these few signals have such a versatile developmental action is of significance to evolution, development, and disease. Their versatility likely depends upon the larger-scale network they form through integration. Such integration is exemplified by cross-talk between the Notch and the Receptor Tyrosine Kinase (RTK) pathways. We examined the transcriptional output of Notch-RTK cross-talk during Drosophila development and present in vivo data that supports a role for selected mutually-regulated genes as potentially important nodal points for signal integration. We find the complex interplay between these pathways involves their mutual regulation of numerous core components of RTK signaling in addition to targets that include components of all the major signalling pathways (TGF-, Hh, Jak/Stat, Nuclear Receptor and Wnt). Interestingly, Notch-RTK integration did not lead to general antagonism of either pathway, as is commonly believed. Instead, integration had a combinatorial effect on specific cross-regulated targets, which unexpectedly included the majority of Ras-responsive genes, suggesting Notch can specify the response to Ras activation.

Publication Title

Nodal points and complexity of Notch-Ras signal integration.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE3566
Enigma (CG9006) RNAi vs control RNAi in Drosophila Kc-167 cells.
  • organism-icon Drosophila melanogaster
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

5 day RNAi treatment to knockdown Enigma, CG9006, a Drosophila mitochondrial protein with homology to acyl-CoA dehydrogenases.

Publication Title

Enigma, a mitochondrial protein affecting lifespan and oxidative stress response in Drosophila.

Sample Metadata Fields

No sample metadata fields

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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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Developed by the Childhood Cancer Data Lab

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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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