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accession-icon SRP044099
The contribution of cohesin-SA1 to chromatin architecture and gene expression in two murine tissues
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon

Description

Cohesin, which consists of SMC1, SMC3, Rad21 and either SA1 or SA2, topologically embraces the chromatin fibers to hold sister chromatids together and to stabilize chromatin loops. Increasing evidence indicates that these loops are the organizing principle of higher-order chromatin architecture, which in turn is critical for gene expression. To determine how cohesin contributes to the establishment of tissue-specific transcriptional programs, we compared genome-wide cohesin distribution, gene expression and chromatin architecture in cerebral cortex and pancreas from adult mice. More than one third of cohesin binding sites differ between the two tissues and these are enriched at the regulatory regions of tissue-specific genes. Cohesin colocalizes extensively with the CCCTC-binding factor (CTCF). Cohesin/CTCF sites at active enhancers and promoters contain, at least, cohesin-SA1 whereas either cohesin-SA1 or cohesin-SA2 are present at active promoters independently of CTCF. Analyses of chromatin contacts at the Protocadherin gene cluster and the Regenerating islet-derived (Reg) gene cluster, mostly expressed in brain and pancreas respectively, revealed remarkable differences in the architecture of these loci in the two tissues that correlate with the presence of cohesin. Moreover, we found decreased binding of cohesin and reduced transcription of the Reg genes in the pancreas of SA1 heterozygous mice. Given that Reg proteins are involved in the control of inflammation in pancreas, such reduction may contribute to the increased incidence of pancreatic cancer reported in these animals. Overall design: Examination of the relationship between gene expression, genome wide cohesin distribution and chromatin structure

Publication Title

The contribution of cohesin-SA1 to gene expression and chromatin architecture in two murine tissues.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE25414
Expression data from human blood samples
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genetic factors contribute to the development of ischemic stroke but their identity remains largely unknown. We tested the association with ischemic stroke of 210 single nucleotide polymorphisms (SNPs) associated with pathways functionally related to stroke. We observed an association between the rs7956957 SNP in LRP1 and next performed microarrays analysis in healthy individuals to investigate possible associations of LRP genotypes with the expression of other genes.

Publication Title

Brain perihematoma genomic profile following spontaneous human intracerebral hemorrhage.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE24265
Expression data from human brain samples
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Spontaneous intracerebral hemorrhage (ICH) represents about 15% of all strokes and is associated with high mortality rates. Our aim was to identify the gene expression changes and biological pathways altered in the brain following ICH.

Publication Title

Brain perihematoma genomic profile following spontaneous human intracerebral hemorrhage.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE62240
A novel approach to Alzheimers Disease treatment: HDACs & PDE5 inhibition
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Considering the numerous complex and different pathological mechanisms involved in Alzheimers disease (AD) progression, treatments targeting a single cause may lead to limited benefits. The goal of this study was the identification of a novel mode of action for this unmet need. Pharmacological tool compounds: suberoylanilide hydroxamic acid (SAHA) and tadalafil, targeting histone deacetylases (HDAC) and phosphodiesterase 5 (PDE5) respectively, were utilized simultaneously for in-vitro and in-vivo Proof-of-Concept (PoC). A synergistic effect was observed in the amelioration of AD signs using the combination therapy in Tg2576 mice. Finally, a therapeutic agent, CM-414, inhibiting simultaneously HDAC2/6 and PDE5 was generated and tested in Tg2576 mice. CM-414 reversed cognitive impairment, reduced amyloid and tau pathology, and rescued dendritic spine density loss in the hippocampus in AD mice. Importantly, the effect obtained was present after a 4-weeks wash-out period.

Publication Title

Concomitant histone deacetylase and phosphodiesterase 5 inhibition synergistically prevents the disruption in synaptic plasticity and it reverses cognitive impairment in a mouse model of Alzheimer's disease.

Sample Metadata Fields

Specimen part

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accession-icon SRP094007
Quantitative Proteomics Reveals a Unique Wiring of Signaling Pathways that Protects Human Regulatory T Cell Identity
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Regulatory CD4+ T cells (Tregs) are functionally distinct from conventional CD4+ T cells (Tconvs). To understand Treg identity, we have compared by proteomics and transcriptomics human naïve (n) and effector (e)Tregs, Tconvs and transitional FOXP3+ cells. Among these CD4+ T cell subsets, we detected differential expression of 421 proteins and 640 mRNAs, with only 48 molecules shared. Fifty proteins discriminated Tregs from Tconvs. This common Treg protein signature indicates altered signaling by TCR-, TNF receptor-, NFkB-, PI3 kinase/mTOR-, NFAT- and STAT pathways and unique cell biological and metabolic features. Another protein signature uniquely identified eTregs and revealed active cell division, apoptosis sensitivity and suppression of NFkB- and STAT signaling. eTreg fate appears consolidated by FOXP3 outnumbering its partner transcription factors. These features explain why eTregs cannot produce inflammatory cytokines, while transitional FOXP3+ cells can. Our collective data reveal that Tregs protect their identity by a unique “wiring” of signalling pathways Overall design: mRNA profiles of 5 CD4+ T cell populations were generated by deep sequencing, in triplicate

Publication Title

Proteomic Analyses of Human Regulatory T Cells Reveal Adaptations in Signaling Pathways that Protect Cellular Identity.

Sample Metadata Fields

Subject

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accession-icon E-MTAB-375
Transcription profiling by array of Arabidopsis after exposure to different temperatures and light levels
  • organism-icon Arabidopsis thaliana
  • sample-icon 175 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

High-density kinetic analysis of the metabolomic and transcriptomic response of Arabidopsis to temperature and light

Publication Title

High-density kinetic analysis of the metabolomic and transcriptomic response of Arabidopsis to eight environmental conditions.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE39694
Expression data from orthotopic tumors and the MCF7 and HCC1937 breast cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Stem cell-like transcriptional reprogramming mediates metastatic resistance to mTOR inhibition.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE39691
Expression data from a triple-negative BRCA1-mutated ortho-xenograft treated with sirolimus
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Inhibitors of the mechanistic target of rapamycin (mTOR) are currently used to treat advanced metastatic breast cancer. However, whether an aggressive phenotype is sustained through adaptation or resistance to mTOR inhibition remains unknown. Here, complementary studies in human tumors, cancer models and cell lines reveal transcriptional reprogramming that supports metastasis in response to mTOR inhibition. This cancer feature is driven by EVI1 and SOX9. EVI1 functionally cooperates with and positively regulates SOX9, and promotes the transcriptional upregulation of key mTOR pathway components (REHB and RAPTOR) and of lung metastasis mediators (FSCN1 and SPARC). The expression of EVI1 and SOX9 is associated with stem cell-like and metastasis signatures, and their depletion impairs the metastatic potential of breast cancer cells. These results establish the mechanistic link between resistance to mTOR inhibition and cancer metastatic potential, thus enhancing our understanding of mTOR targeting failure.

Publication Title

Stem cell-like transcriptional reprogramming mediates metastatic resistance to mTOR inhibition.

Sample Metadata Fields

Specimen part

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accession-icon GSE47559
Ibf1 and Ibf2 are DNA-binding proteins required for insulator function in Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Ibf1 and Ibf2 are novel CP190-interacting proteins required for insulator function.

Sample Metadata Fields

Disease, Cell line

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accession-icon GSE47557
Co-regulation analysis of CP190 and CG9740 [expression]
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Gene expression in S2 cells after CG9740 or CP190 RNAi

Publication Title

Ibf1 and Ibf2 are novel CP190-interacting proteins required for insulator function.

Sample Metadata Fields

Cell line

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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)

fund-icon Fund the CCDL

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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