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accession-icon SRP159656
Mitochondrial Membrane Potential Regulates Nuclear Gene Expression in Macrophages Exposed to PGE2 (RNA-seq)
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

Metabolic engagement is intrinsic to immune cell function. Prostaglandin E2 (PGE2) has been shown to modulate macrophage activation, yet how PGE2 might affect metabolism is unclear. Here we show that PGE2 causes mitochondrial membrane potential (??m) to dissipate in interleukin-4 activated macrophages (M(IL-4)). Effects on ??m are a consequence of PGE2-initiated transcriptional regulation of genes in the malate-aspartate shuttle (MAS), particularly GOT1. Reduced ??m causes alterations in the expression of 126 voltage regulated genes (VRGs) including Resistin like molecule-a (RELMa), a key marker of M(IL-4), and genes that regulate cell cycle. The transcription factor ETS variant 1 (ETV1) plays a role in the regulation of 38% of the VRGs. These results reveal ETV1 as a ??m-sensitive transcription factor, and ??m as a mediator of mitochondrial-directed nuclear gene expression. Overall design: RNA-seq was performed on bone marrow derived macrophages (triplicate) exposed to IL-4 alone or in combination with PGE2 or Valinomycin plus no stimulation controls. In addition, RNA-seq was performed on bone marrow derived macrophages stimulated in the same way as before, however the transcription factor ETV1 was knocked down.

Publication Title

Mitochondrial Membrane Potential Regulates Nuclear Gene Expression in Macrophages Exposed to Prostaglandin E2.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP172805
Single Cell RNA sequence data from a human ovarian cancer sample
  • organism-icon Homo sapiens
  • sample-icon 89 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: Investigate cellular heterogeneity in a fresh human ovarian cancer tissue sample Methods: Enzymatic digestion of fresh tissue sample collected from the operating room to produce single cell suspension. Cells were labelled with fluorescent antibodies to CD3, CD14, CD19, CD20, CD56 and FACS sorted to remove immune cells. The negative population was used for sequencing. Single cells were processed using the Fluidigm C1 Chip to generate barcoded cDNA for each cell. Amplifed cDNA was sequenced using an Illumina HiSeq 2500 machine. Results: Single cell RNA sequence data was obtained for 92 cells and a "bulk" sample of 1000 cells. 26 cells were removed from analysis due to quality control standards. The remaining 66 cells and the bulk sample were analyzed. Conclusion: Single cell RNA sequence analysis reveals heterogeneity in gene expression in cells harvested from a high grade ovarian serous cancer Overall design: A single cell suspension generated from a fresh high grade serous ovarian cancer sample was run through two Fluidigm C1 chips to isolate single cells and produce barcoded cDNA. Sequencing was performed in a single lane of an Illumina HiSeq 2500 machine. 92 single cells were sequenced and 1 bulk sample was sequenced, for a total of 93 samples.

Publication Title

Single cell sequencing reveals heterogeneity within ovarian cancer epithelium and cancer associated stromal cells.

Sample Metadata Fields

Subject

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accession-icon GSE68608
C9ORF72 GGGGCC expanded repeats produce splicing dysregulation which correlates with disease severity in amyotrophic lateral sclerosis
  • organism-icon Homo sapiens
  • sample-icon 6 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

C9ORF72 GGGGCC Expanded Repeats Produce Splicing Dysregulation which Correlates with Disease Severity in Amyotrophic Lateral Sclerosis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE95529
ESR1 mutations affect anti-proliferative responses to tamoxifen through enhanced cross-talk with IGF signaling
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The rediscovery of estrogen receptor (ESR1) mutations in metastatic breast cancer is current clinical scenario. We have modeled the three most frequent ESR1 mutations using stable lentiviral vectors in human breast cancer cell lines, and determined that they confer relative resistance to tamoxifen (Tam) in a cell-type specific manner due to distinct epigenetic changes. Resistance was only observed with concomitant engagement and activation of the insulin growth factor signaling pathway (IGF1R). The ESR1 mutants also exhibited enhanced binding with insulin growth factor receptor beta (IGF1R). The selective estrogen degrader, fulvestrant, significantly reduced the anchorage-independent growth of ESR1 mutant-expressing cells, while the combination treatment with the mTOR inhibitor everolimus, restored Tam sensitivity. Since we detected relatively high frequencies of these three mutations in primary breast tumors, our results suggest that clinical targeted sequencing of both primary and metastatic tumors may be justified and comination therapies considered.

Publication Title

ESR1 mutations affect anti-proliferative responses to tamoxifen through enhanced cross-talk with IGF signaling.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE68605
C9ORF72 GGGGCC expanded repeats produce splicing dysregulation which correlates with disease severity in amyotrophic lateral sclerosis [HG-U133_Plus_2]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Objective: An intronic GGGGCC-repeat expansion of C9ORF72 is the most common genetic variant of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia. The mechanism of neurodegeneration is unknown, but a direct effect on RNA processing mediated by RNA foci transcribed from the repeat sequence has been proposed.

Publication Title

C9ORF72 GGGGCC Expanded Repeats Produce Splicing Dysregulation which Correlates with Disease Severity in Amyotrophic Lateral Sclerosis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE29652
Microarray analysis of the astrocyte transcriptome in the ageing brain: relationship to Alzheimer's pathology and ApoE genotype
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Astrocyte dysfunction impacts their normal function, including neuronal support, thereby contributing to neurodegenerative pathologies including Alzheimer's disease (AD). Therefore to understand the role of astrocytes in the pathogenesis of age-related disorders we analysed the gene expression profile of astrocytes with respect to Alzheimer-type pathology.

Publication Title

Microarray analysis of the astrocyte transcriptome in the aging brain: relationship to Alzheimer's pathology and APOE genotype.

Sample Metadata Fields

Specimen part

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accession-icon SRP167827
SOS1-mutant cells share a similar transcriptional profile as KRAS G12V cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA sequencing in NIH-3T3 cells Overall design: Transcriptome analysis for three biological replicates of pLX307, SOS1 WT, SOS1 N233Y, and KRAS G12V cells

Publication Title

Identification and Characterization of Oncogenic <i>SOS1</i> Mutations in Lung Adenocarcinoma.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE16250
PBMCs exposed to the Mycobacterium tuberculosis H37Ra strain
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human peripheral blood mononuclear cells were cultured in presence of H37Ra strain at 37oC, 5%CO2. Cellular aggregates were collected at 24h, and RNA extracted and hybridized to Affymetrix microarrays (HG-U133). Raw data from microarray experiments was analyzed with dCHIP and SAM programs to determine the significance of changes at the biological context.

Publication Title

Microarray analysis of the in vitro granulomatous response to Mycobacterium tuberculosis H37Ra.

Sample Metadata Fields

Specimen part

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accession-icon GSE7703
Mat-Lylu cell line compared to G cell line
  • organism-icon Rattus norvegicus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

we analyzed the gene expression profiles of Mat-Lylu cell lines (in duplicate) compared to G cell lines (in duplicate) using Affymetrix tools and dChip software. The objective was to find metastasis-associated genes in prostate cancer, using this in vitro model.

Publication Title

DNA microarray analysis reveals metastasis-associated genes in rat prostate cancer cell lines.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13347
FoxO RNAi in C2C12 cells
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

C2C12 cells are mouse skeletal muscle cells. These cells were transfected with shRNA against FoxO1, FoxO3, and FoxO4. FoxO1, FoxO3, and FoxO4 are the known paralogues expressed in this cell line.

Publication Title

Codependent activators direct myoblast-specific MyoD transcription.

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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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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