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accession-icon GSE52759
Isp7 is a novel regulator of amino acid uptake in the TOR signaling pathway
  • organism-icon Schizosaccharomyces pombe
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

We show that the sensitivity of tsc mutant cells to rapamycin is mediated by TORC1 and can be suppressed by overexpression of the 2-oxoglutarate-Fe(II) dependent oxygenase, Isp7. We show that Isp7 is a novel regulator of amino acids uptake that acts via regulation of gene expression, both upstream and downstream of TOR signaling. suppressed by overexpression of the putative 2-oxoglutarate-Fe(II) dependent oxygenase, Isp7. We show that Isp7 is a novel master regulator of amino acids uptake that acts via regulation of gene expression, both upstream and downstream of TOR signaling.

Publication Title

Isp7 is a novel regulator of amino acid uptake in the TOR signaling pathway.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE40817
Expression data from S. cerevisiae after evolution under diverse conditions
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

We conducted a set of lab-evolution experiments in yeast and followed the long-term dynamics of aneuploidy under diverse conditions including heat shock and high PH.

Publication Title

Chromosomal duplication is a transient evolutionary solution to stress.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE37005
Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq
  • organism-icon Mus musculus, Homo sapiens, Saccharomyces cerevisiae
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE36958
Gene expression profiles of WT and ime4-/- mutant yeast cells, under vegetative and meiosis-inducing conditions
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Inactivation of the yeast IME4 gene, the yeast homologue of METTL3, was shown to result in the loss of m6A in mRNA of mutant cells grown in sporulation medium. We attempted to characterize the effects of ime4 deletion on gene expression under vegetative and meiosis-inducing conditions. The results show that in vegetatively-growing ime4-/- cells there is an increased expression of the RME1 gene (repressor of meiosis) which prevents precocious entry into the meiotic program. Mutant yeast cells showed reduced expression levels of genes involved in ribosome biogenesis and gene expression processes. Surprisingly, despite the fact that a diploid strain was analyzed, there was also a striking change in the expression level of haploid-specific genes, suggesting that RNA methylation may be used to enforce the sexual identity of diploid cells, required for the implementation of the gametogenesis program. Consistently, when cells were induced to undergo meiosis, ime4-/- diploids failed to undergo the meiotic divisions. Among the genes showing reduced expression in the mutant were IME1 and IME2, the two known inducers of meiosis. Thus, the yeast IME4 gene plays an important role in the regulation of the developmental switch from vegetative cells into gametogenesis.

Publication Title

Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP012098
m6A mapping in human RNA (with treatments)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

We developed a novel approach, m6A-seq, for high-resolution mapping of the transcriptome-wide m6A landscape, based on antibody-mediated capture followed by massively parallel sequencing. Overall design: Identification of m6A modified sequences in HepG2 cells. HepG2 cells were incubated with either IFNg (200ng/ml) or HGF/SF (10 ng/ml) over night. Stress effects were tested in HepG2 cells by either 30 minutes incubation at 43ºC (heat shock) or UV irradiation of 0.04 J/cm2 followed by 4 hours of recovery in normal growing conditions prior to harvesting using Trypsin.

Publication Title

Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon SRP012096
METTL3 KD in HepG2 cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

To gain insight into possible processes that require m6A for their function, METTL3 was knocked down (KD) in HepG2 cells by siRNA transfections Overall design: Differential expression analysis of METTL3 KD versus mock-transfected HepG2 cells, in 2 biological replicates

Publication Title

Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE106875
Microarray-based transcriptomic responses of zebrafish embryos exposed to 2 M TDCIPP from 0.75 hpf to 2 and 6 hpf
  • organism-icon Danio rerio
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Zebrafish Gene 1.0 ST Array (zebgene10st)

Description

Tris(1,3-dichloro-2-propyl) phosphate (TDCIPP) is a high-production volume organophosphate flame retardant widely used within the United States. Within zebrafish, initiation of TDCIPP exposure at 0.75 h post-fertilization (hpf) results in genome-wide alterations in methylation during cleavage (2 hpf) as well as epiboly delay or arrest (at higher concentrations) during late-blastula and early-gastrula (4-6 hpf). To determine whether these TDCIPP-induced effects were associated with impacts on the transcriptome, embryos were exposed to vehicle (0.1% DMSO) or 2 M TDCIPP from 0.75 hpf to 6 hpf, and total RNA was extracted from triplicate embryo pools per treatment and hybridized onto duplicate Affymetrix Zebrafish Gene 1.0 ST Arrays per RNA sample. Based on transcriptome-wide profiling, TDCIPP resulted in a significant impact on biological pathways involved in dorsoventral patterning and bone morphogenetic protein (BMP) signaling. Consistent with pathway-level responses, TDCIPP exposure also resulted in strongly dorsalized embryos by 24 hpf a phenotype that mimicked the effects of dorsomorphin, a potent and selective BMP inhibitor. Moreover, the majority of dorsalized embryos were preceded by epiboly arrest at 6 hpf. Our microarray data also revealed that the expression of sizzled (szl) a gene encoding a secreted Frizzled-related protein that limits BMP signaling was significantly decreased by nearly 4-fold at 6 hpf. Therefore, we used a splice-blocking morpholino to test the hypothesis that knockdown of szl phenocopies TDCIPP-induced delays in epiboly progression. Interestingly, contrary to our hypothesis, injection of szl MOs did not affect epiboly progression but, similar to chordin (chd) morphants, resulted in mildly ventralized embryos by 24 hpf. Overall, our findings suggest that TDCIPP-induced epiboly delay may be independent of szl expression and function, and that TDCIPP-induced dorsalization may similar to dorsomorphin be due to interference with BMP signaling during early zebrafish.

Publication Title

Tris(1,3-dichloro-2-propyl) phosphate disrupts dorsoventral patterning in zebrafish embryos.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon GSE16149
Examining smoking-induced differential gene expression changes in buccal mucosa
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A tissue like buccal mucosa (from cheek swabs) would be an ideal sample material for rapid, easy collection for testing of biomarkers as an alternative to blood. A limited number of studies, primarily in the smoker/oral cancer literature, address this tissue's efficacy for quantitative PCR or microarray gene expression analysis. In this study both qPCR and microarray analyses were used to evaluate gene expression in buccal cells. An initial study comparing blood and buccal cells from the same individuals looked at relative amounts of four genes. The RNA isolated from buccal cells was degraded but was of sufficient quality to be used with RT-qPCR to detect expression of specific genes. Second, buccal cell RNA was used for microarray-based differential gene expression studies by comparing gene expression between smokers and nonsmokers. The isolation and amplification protocol allowed use of 150-fold less buccal cell RNA than had been reported previously with human microarrays. We report here the finding of a small number of significant gene expression differences between smokers and nonsmokers, using buccal cells as target material. Additionally, Gene Set Enrichment Analysis confirmed that these genes were changing expression in the same pattern as seen in an earlier buccal cell study performed by another group. Our results suggest that in spite of a high degree of RNA degradation, buccal cells from cheek mucosa could be used to detect differential gene expression between smokers and nonsmokers. However the RNA degradation, increase in sample variability and microarray failure rate show that buccal samples should be used with caution as source material in expression studies.

Publication Title

Examining smoking-induced differential gene expression changes in buccal mucosa.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE50012
Comparison of cellular and transcriptional responses to 1,25-dihydroxyvitamin D3 and glucocorticoids in peripheral blood mononuclear cells
  • organism-icon Homo sapiens
  • sample-icon 72 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Glucocorticoids (GC) and 1,25-dihydroxyvitamin D3 (1,25(OH)2 D3) are steroid hormones with anti-inflammatory properties with enhanced effects when combined. We previously showed that transcriptional response to GCs was correlated with inter-individual and inter-ethnic cellular response. Here, we profiled cellular and transcriptional responses to 1,25(OH)2 D3 from the same donors. We studied cellular response to combined treatment with GCs and 1,25(OH)2 D3 in a subset of individuals least responsive to GCs. We found that combination treatment had significantly greater inhibition of proliferation than with either steroid hormone alone. Overlapping differentially expressed (DE) genes between the two hormones were enriched for adaptive and innate immune processes. Non-overlapping differentially expressed genes with 1,25(OH)2 D3 treatment were enriched for pathways involving the electron transport chain, while with GC treatment, non-overlapping genes were enriched for RNA-related processes. These results suggest that 1,25(OH)2 D3 enhances GC anti-inflammatory properties through a number of shared and non-shared transcriptionally-mediated pathways.

Publication Title

Comparison of cellular and transcriptional responses to 1,25-dihydroxyvitamin d3 and glucocorticoids in peripheral blood mononuclear cells.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

View Samples
accession-icon GSE20489
Microarray characterization of gene expression changes in blood during acute ethanol exposure
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

As part of the civil aviation safety program to define the adverse effects of ethanol on flying performance, we present results of our DNA microarray analysis of samples from a timecourse study of individuals given ethanol orally, and then evaluated by breathalyzer to monitor blood alcohol content (BAC). At five blood alcohol levels, T1-T5, blood was drawn such that the samples represented 0%, 0.04%, 0.08% BAC, and return to 0.04%, and 0.02% BAC. Microarray analysis showed that changes in gene expression could be detected across the time-course. We verified these expression changes by quantitative polymerase chain reaction (qPCR). Candidate target genes identified from the microarray analysis were clustered by expression change pattern, examined for shared functions and functional network membership. Five coordinately expressed groups were revealed and functional analysis showed shared transcription factor binding sites and functions for members of the clusters. These functions include protein synthesis and modification, expected for changes in gene expression, hematological and immune functions, expected for a blood sample, and pancreatic and hepatic function, expected as response to ethanol. The results provide a first look at changing gene expression patterns in blood during acute increase of ethanol concentration and its depletion due to metabolism or excretion and demonstrate that it is possible to detect significant changes in gene expression using total RNA isolated from whole blood. The analysis approach for this study can be utilized as part of a workflow to identify target genes by timecourse changes in gene expression that may affect pilot performance.

Publication Title

Microarray characterization of gene expression changes in blood during acute ethanol exposure.

Sample Metadata Fields

Sex, 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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