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accession-icon GSE75802
Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner (RNA 2015)
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner.

Sample Metadata Fields

Cell line

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accession-icon GSE75800
Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner (RNA 2015), Exp 1
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Experiment 1 - miR-155 and miR-199 Phenotype

Publication Title

Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE75801
Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner (RNA 2015), Exp 2
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Experiment 2 - MiRNA mimics have a length and passenger strand specific effect

Publication Title

Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner.

Sample Metadata Fields

Cell line

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accession-icon GSE54830
Up-regulation of IFN-related genes in BRCA2-/- cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Microarray-based expression profiling of BRCA2 knockout and isogenic wild type HCT116 human colorectal cancer cells

Publication Title

Up-regulation of the interferon-related genes in BRCA2 knockout epithelial cells.

Sample Metadata Fields

Cell line

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accession-icon GSE48931
Master regulators of FGFR2 signalling and breast cancer risk
  • organism-icon Homo sapiens
  • sample-icon 260 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Master regulators of FGFR2 signalling and breast cancer risk.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE48927
Over-expression of FGFR2b from a tetracycline-inducible expression vector
  • organism-icon Homo sapiens
  • sample-icon 125 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Genome-wide association studies for breast cancer have identified over 80 different risk regions in the genome, with the FGFR2 locus consistently identified as the most strongly associated locus. However, we know little about the mechanisms by which the FGFR2 locus mediates risk or the pathways in which multiple risk loci may combine to cause disease. Here we use a systems biology approach to elucidate the regulatory networks operating in breast cancer and examine the role of FGFR2 in mediating risk. Using model systems we identify FGFR2-regulated genes and, combining variant set enrichment and eQTL analysis, show that these are preferentially linked to breast cancer risk loci. Our results support the concept that cancer-risk associated genes cluster in pathways

Publication Title

Master regulators of FGFR2 signalling and breast cancer risk.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE48925
Activation of FGFR2-kinase domain (iF2 construct)
  • organism-icon Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Genome-wide association studies for breast cancer have identified over 80 different risk regions in the genome, with the FGFR2 locus consistently identified as the most strongly associated locus. However, we know little about the mechanisms by which the FGFR2 locus mediates risk or the pathways in which multiple risk loci may combine to cause disease. Here we use a systems biology approach to elucidate the regulatory networks operating in breast cancer and examine the role of FGFR2 in mediating risk. Using model systems we identify FGFR2-regulated genes and, combining variant set enrichment and eQTL analysis, show that these are preferentially linked to breast cancer risk loci. Our results support the concept that cancer-risk associated genes cluster in pathways

Publication Title

Master regulators of FGFR2 signalling and breast cancer risk.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE48924
Stimulation of endogenous FGFR1b and FGFR2b
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Genome-wide association studies for breast cancer have identified over 80 different risk regions in the genome, with the FGFR2 locus consistently identified as the most strongly associated locus. However, we know little about the mechanisms by which the FGFR2 locus mediates risk or the pathways in which multiple risk loci may combine to cause disease. Here we use a systems biology approach to elucidate the regulatory networks operating in breast cancer and examine the role of FGFR2 in mediating risk. Using model systems we identify FGFR2-regulated genes and, combining variant set enrichment and eQTL analysis, show that these are preferentially linked to breast cancer risk loci. Our results support the concept that cancer-risk associated genes cluster in pathways

Publication Title

Master regulators of FGFR2 signalling and breast cancer risk.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE48928
Knockdown of breast cancer master regulators: siRNA targeting PTTG1 and SPDEF in MCF-7 cells.
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Genome-wide association studies for breast cancer have identified over 80 different risk regions in the genome, with the FGFR2 locus consistently identified as the most strongly associated locus. However, we know little about the mechanisms by which the FGFR2 locus mediates risk or the pathways in which multiple risk loci may combine to cause disease. Here we use a systems biology approach to elucidate the regulatory networks operating in breast cancer and examine the role of FGFR2 in mediating risk. Using model systems we identify FGFR2-regulated genes and, combining variant set enrichment and eQTL analysis, show that these are preferentially linked to breast cancer risk loci. Our results support the concept that cancer-risk associated genes cluster in pathways

Publication Title

Master regulators of FGFR2 signalling and breast cancer risk.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE4724
Transcriptome analysis of the arginine regulon in E.coli
  • organism-icon Escherichia coli
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Analysis of the response to arginine of the Escherichia coli K-12 transcriptome by microarray hybridization and real-time quantitative PCR provides a first coherent quantitative picture of the ArgR-mediated repression of arginine biosynthesis and uptake genes. Transcriptional repression was shown to be the major control mechanism of the biosynthetic genes, leaving only limited room for additional transcriptional or post-transcriptional regulations. The art genes coding for the specific arginine uptake system are subject to ArgR-mediated repression,

Publication Title

The arginine regulon of Escherichia coli: whole-system transcriptome analysis discovers new genes and provides an integrated view of arginine regulation.

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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