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accession-icon GSE14330
Comparison of stable human Treg and Th clones by transcriptional profiling - experiment I
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The aim of this work was to identify functional features that are specific of human Treg cells, through the identification of genes that are differentially expressed: 1/ in activated Treg clones versus activated Thelper clones; 2/ in Th clones activated in the presence versus the absence of TGFb; 3/ in suppressed Th clones, i.e. Th clones activated in the presence of Treg clones, versus controls.

Publication Title

Comparison of stable human Treg and Th clones by transcriptional profiling.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE19428
Expression data from human melanoma cell lines treated or not with inflammatory cytokines
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Melanomas are often infiltrated by activated inflammatory cells. Thus, melanoma cells are very likely stimulated by inflammatory cytokines.

Publication Title

Interleukins 1alpha and 1beta secreted by some melanoma cell lines strongly reduce expression of MITF-M and melanocyte differentiation antigens.

Sample Metadata Fields

Cell line

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accession-icon GSE47801
Genome-wide gene expression analysis on tibialis anterior muscle from nebulin SH3 domain deleted (NebSH3) mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Genome-wide gene expression analysis on tibialis anterior muscle from 2-month-old nebulin SH3 domain deleted (NebSH3) mice compared to wildtype.

Publication Title

The nebulin SH3 domain is dispensable for normal skeletal muscle structure but is required for effective active load bearing in mouse.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE154558
Cytokines gene signatures on primary human cells
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

We derived gene set signature for GSEA investigation study from primary cell culture derived from healthy patients. Cells were exposed or not to cytokine for 24H before RNA collection and microarray analysis

Publication Title

Selective inhibition of TGF-β1 produced by GARP-expressing Tregs overcomes resistance to PD-1/PD-L1 blockade in cancer.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE20713
Epigenetic portraits of human breast cancers
  • organism-icon Homo sapiens
  • sample-icon 108 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

DNA methylation profiling reveals a predominant immune component in breast cancers.

Sample Metadata Fields

Specimen part, Disease stage, Cell line, Treatment

View Samples
accession-icon GSE20711
Epigenetic portraits of human breast cancers (expression data)
  • organism-icon Homo sapiens
  • sample-icon 90 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Breast cancer is a molecularly, biologically and clinically heterogeneous group of disorders. Understanding this diversity is essential to improving diagnosis and optimising treatment. Both genetic and acquired epigenetic abnormalities participate in cancer, but information is scant on the involvement of the epigenome in breast cancer and its contribution to the complexity of the disease. Here we used the Infinium Methylation Platform to profile at single-CpG resolution (over 14,000 genes interrogated) the methylomes of 119 breast tumours. It emerges that many genes whose expression is linked to the ER status are epigenetically controlled (or/ we show that the two major phenotypes of breast cancers determined by ER status are widely involving epigenetic regulatory mechanisms), offering the prospect of a novel approach to treating ER-positive tumours. We have distinguished methylation-profile-based tumour clusters, some coinciding with known expression subtypes but also new entities that may provide a meaningful basis for refining breast tumour typology. We show that methylation patterns may reflect the cellular origins of tumours. Having highlighted an unexpectedly strong epigenetic component in the regulation of key immune pathways, we show that a set of immune genes have high prognostic value in specific tumour categories. By laying the ground for better understanding of breast cancer heterogeneity and improved tumour taxonomy, the precise epigenetic portraits drawn here should contribute to better management of breast cancer patients.

Publication Title

DNA methylation profiling reveals a predominant immune component in breast cancers.

Sample Metadata Fields

Disease stage

View Samples
accession-icon GSE22250
Epigenetic portraits of human breast cancers (various cell lines expression data)
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Breast cancer is a molecularly, biologically and clinically heterogeneous group of disorders. Understanding this diversity is essential to improving diagnosis and optimising treatment. Both genetic and acquired epigenetic abnormalities participate in cancer, but information is scant on the involvement of the epigenome in breast cancer and its contribution to the complexity of the disease. Here we used the Infinium Methylation Platform to profile at single-CpG resolution (over 14,000 genes interrogated) the methylomes of 119 breast tumours. It emerges that many genes whose expression is linked to the ER status are epigenetically controlled (or/ we show that the two major phenotypes of breast cancers determined by ER status are widely involving epigenetic regulatory mechanisms), offering the prospect of a novel approach to treating ER-positive tumours. We have distinguished methylation-profile-based tumour clusters, some coinciding with known expression subtypes but also new entities that may provide a meaningful basis for refining breast tumour typology. We show that methylation patterns may reflect the cellular origins of tumours. Having highlighted an unexpectedly strong epigenetic component in the regulation of key immune pathways, we show that a set of immune genes have high prognostic value in specific tumour categories. By laying the ground for better understanding of breast cancer heterogeneity and improved tumour taxonomy, the precise epigenetic portraits drawn here should contribute to better management of breast cancer patients.

Publication Title

DNA methylation profiling reveals a predominant immune component in breast cancers.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon SRP107968
Integrative epigenomic analyses of early-life hypothalamic response to augmented maternal care [RNA-seq]
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The quality of maternal care in early-life plays a crucial role in mammalian neurodevelopment. Augmented maternal care (AMC) is a well-established rodent model of enhanced neonatal care. Rats that have undergone AMC have improved stress resilience and cognition compared with rats that have experienced normal levels of maternal care or adverse neonatal stress. However, the epigenomic basis of long-lived responses to AMC has not been previously explored. Thus, we employed whole-genome bisulfite sequencing (WGBS), RNA-sequencing (RNA-seq), and a multiplex microRNA (miRNA) assay to assess DNA cytosine methylation, gene expression, and miRNA expression, respectively. The integrated results identify a suite of 20 prioritized candidates impacted by AMC. Overall, these results identified AMC-induced regulatory differences in genes related to neurotransmission, neurodevelopment, protein synthesis, and oxidative phosphorylation in addition to the expected stress response genes. Together, these unbiased results represent a key progression in understanding the complex mechanisms underlying the early-life mechanisms for AMC programming stress resiliency. Overall design: DNA methylation and RNA were assayed in augmented maternal care male rats as well as controls.

Publication Title

Experience-dependent neuroplasticity of the developing hypothalamus: integrative epigenomic approaches.

Sample Metadata Fields

Sex, Specimen part, Treatment, Subject

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accession-icon SRP062369
Genome-wide expression analysis of yeast with CRISPR-mediated inhibition of GAL10 ncRNA compared to wild-type.
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 49 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We analyzed the genome-wide expression by RNA-seq of a yeast strain that expresses Cas9d and a guideRNA targeted to the GAL10 locus (called +116), which inhibits GAL10 ncRNA expression from the antisense strand. We compared this strain to a strain expressing a scrambled guideRNA. The goal was to examine the effects of ncRNA inhibition and to examine if CRISPR inhibition of gene expression has off-target effects. We find that CRISPR-mediated inhibtion of GAL10 ncRNA only significantly changes expression of transcripts at the GAL1-10 locus, showing that CRISPR is highly specific, and that GAL10 ncRNA only control genes at the GAL locus. Overall design: RNA-seq of 2 strains with CRISPR scrambled and 2 strains with CRISPR +116, the latter of which inhibits GAL10 ncRNA

Publication Title

Single-Molecule Imaging Reveals a Switch between Spurious and Functional ncRNA Transcription.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE6823
The molecular basis of plant insect interactions
  • organism-icon Arabidopsis thaliana
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The aim of this study is to identify Arabidopsis genes whose expression is altered by aphid feeding. An understanding of the plant aphid interaction at the level of the plant transcriptome will 1) consolidate current areas of investigation focused on the phloem composition (the aphid diet), 2) open up areas of plant aphid interactions for ourselves and other workers, 3) Contribute to understanding the use of new molecular technologies in an environmental context and 4) contribute to existing and development of novel control strategies.Our Arabidopsis/Myzus persicae system provides a valuable model for the study because of: a) the advantages of using Arabidopsis, b) The ability to use clonal insects, c) phloem feeding aphids facilitate focus on a specific cell type, d) aphid stylectomy allows collection of pure phloem sap to monitor phloem phenotype of the plant and the insect diet, e) we have techniques to monitor the reproductive performance and feeding behaviour aphids.Our strategy has been to test the function of selected genes, particularly those regulating phloem composition (the feeding site of the aphid) based on current phloem models of phloem function. Gene choice is limited the simplicity of current models of phloem aphid interaction.We propose a simple two treatment (aphid infested vs control plants) experiment that will identify novel target genes for future analysis. Arabidopsis plants (variety Columbia) will be grown in 16/8 light/dark in temperature controlled growth rooms. At growth stage 3.90, when rosette growth is complete, 10 clonal adult Myzus persicae will be caged in clip cages on the two largest leaves on each plant. Control plants will be treated identically except that the cages will be empty. Leaves will be harvested 8 h after infestation. This time point is selected as we know that 90% of aphids are plugged into the sieve element within 2h and that a 6h lag phase has period has previously been used when examining gene expression affected by wounding. In subsequent experiments we will examine time courses of expression of relevant genes using other approaches. Pooling two leaves from each of ten plants will generate the RNA sample, ensuring that expression signals are representative of the population of plants.

Publication Title

Exploring plant responses to aphid feeding using a full Arabidopsis microarray reveals a small number of genes with significantly altered expression.

Sample Metadata Fields

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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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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