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accession-icon GSE35382
Comparison of gene expression profiles of HT29 cells treated with Instant Caffeinated Coffee or Caffeic Acid versus control.
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A summary of the work associated to these microarrays is the following:

Publication Title

Coffee polyphenols change the expression of STAT5B and ATF-2 modifying cyclin D1 levels in cancer cells.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE65527
Gene expression after 24h Urolithin A incubation in LNCaP cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

The identification of new agents that may modulate the progression of cancer cell growth is of great interest. In this regard, dietary agents can be utilized to identify molecular targets to be used as part of a chemopreventive strategy. Walnuts contain several bioactive compounds, including pedunculagin, a polyphenol metabolized by microbiota to form urolithins, namely urolithin A (UA). We performed a genomic analysis to study the effect of UA on androgen-dependent LNCaP prostate adenocarcinoma cells. Cells were incubated with 40M UA for 24 hours, then, RNA was extracted. RNA samples were processed in the automated Biomek FX System (Beckman Coulter), where aRNA was produced, and labeled with Biotin, purified , fragmented and hybridized onto HG U219-24 Array, using the GeneChip HT 3IVT Express Kit . Afterwards, the GeneTitan Multi-Channel (MC) Instrument (Affymetrix) was used to hybridize, wash , stain , and scan the arrays. Microarray results were analyzed using the GeneSpring GX v13.0 software.

Publication Title

Urolithin A causes p21 up-regulation in prostate cancer cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE47664
The permanent reduction of TIA proteins molds expression transcriptome in HeLa cells.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Our recent studies strongly suggest that remodeling in the control of gene expression contributes to the progression of cell phenotypes associated to the transient and permanent knock-down of T-cell intracellular antigen 1(TIA1) and TIA1 related/like (TIAR/TIAL1) proteins. In particular, our studies have been focused on transcriptomic profiling of TIA-depleted HeLa cells using transient RNA interference (siRNA-mediated) and genome-wide microarray approaches Results: This study provides, for the first time, TIA1 and TIAR linked-transcriptomic analysis by using RNA-Seq next generation sequencing technology. Illumina RNA-Seq was used to survey transcriptome profiles from permanent TIA1 and TIAR-(shRNA-mediated) deficient HeLa cells. Analysis of the transcriptomes with the Cufflinks tool revealed that differentially expressed genes, isoforms produced by alternative splicing and/or promoter usage as well as microRNAs generated a great transcriptomic heterogeneity which might reflect the complexity linked to these cell phenoypes. The data of differential expression were validated by using genome-wide microarrays and QPCR. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes term enrichment analysis revealed over-representation of genes associated with cell differentiation, multicellular organismal development, signal transduction, axon guidance and cell adhesion and under-representation of genes associated with positive regulation of migration, cell adhesion, response to organic substance, prostaglandin metabolic process and blood coagulation. Conclusions: Taken together, our observations point out towards an inhibitory role of TIA proteins in cell proliferation and growth, there appears to be an apparent molecular discrepancy regarding the effects of TIA proteins based on whether the proteins are depleted transiently (siRNA-mediated) or permanently (shRNA-mediated), suggesting the existence of clonal selection mechanisms of cellular populations in permanently TIA1/TIAR-depleted HeLa cells.

Publication Title

Long-term reduction of T-cell intracellular antigens reveals a transcriptome associated with extracellular matrix and cell adhesion components.

Sample Metadata Fields

Cell line

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accession-icon SRP021918
The permanent reduction of TIA proteins molds expression transcriptome in HeLa cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

This study provides, for the first time, TIA1 and TIAR linked-transcriptomic analysis by using RNA-Seq next-generation sequencing technology. Illumina RNA-Seq was used to survey transcriptome profiles from permanent TIA1- and TIAR-(shRNA-mediated) deficient HeLa cells. Analysis of the transcriptomes with the Cufflinks tool revealed that differentially expressed genes, isoforms produced by alternative splicing and/or promoter usage as well as microRNAs generated a great transcriptomic heterogeneity which might reflect the complexity linked to these cell phenotypes. The data of differential expression were validated by using genome-wide microarrays and QPCR analysis. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes term enrichment analysis revealed over-representation of genes associated with cell differentiation, multicellular organismal development, signal transduction, axon guidance and cell adhesion and under-representation of genes associated with positive regulation of migration, cell adhesion, response to organic substance, prostaglandin metabolic process and blood coagulation. Taken together, these results indicate that differential gene expression, alternative pre-mRNA isoforms, promoter usage and microRNA profiling contribute to define the molecular expression phenotypes implied in the progression of proliferative phenotypes associated to the absence of TIA proteins and prioritize candidates for future study. Overall design: Each library was run on one RNASeq Multiplex of 76 bp using sequencing from Illumina Genome Analyzer (GAIIx). Three samples were analyzed in this manner, taken from control, TIA1 and TIAR shRNA-depleted HeLa cells.

Publication Title

Long-term reduction of T-cell intracellular antigens reveals a transcriptome associated with extracellular matrix and cell adhesion components.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP093261
Embryonic VHL-HIF signaling defines dynamic heart metabolic compartments essential for cardiac maturation
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

While gene regulatory networks involved in cardiogenesis have been characterized, the role of bioenergetics remains less studied. Here we show that until midgestation, myocardial metabolism is compartmentalized, with a glycolytic signature restricted to compact myocardium contrasting with increased mitochondrial oxidative activity in the trabeculae. HIF1a regulation mirrors this pattern, with expression predominating in compact myocardium and scarce in trabeculae. By midgestation, the compact myocardium downregulates HIF1a and switches toward oxidative metabolism. Deletion of the E3 ubiquitin ligase Vhl results in HIF1a hyperactivation, disrupting metabolic compartmentalization and blocking the midgestational shift toward oxidative phosphorylation. Moreover, the altered glycolytic signature induced by HIF1 trabecular activation precludes regulation of genes essential for cardiac conduction system establishment. Our findings reveal VHL-HIF-mediated metabolic compartmentalization in the developing heart and the connection between metabolism and myocardial differentiation. These results highlight the importance of bioenergetics in ventricular myocardium specialization and its potential relevance to congenital heart disease. Overall design: RNA was isolated from individual E12.5 embryonic hearts after removal of the atria and valvular region. KOs and control littermates were matched by somite count, and a total number of 3 KOs and 3 controls from 3 independent litters were used. For RNA extraction, QIAzol Lysis Reagent (Qiagen; CA; USA) and the miRNeasy Mini Kit (Qiagen; CA; USA) were used. RNA was quantified and its purity checked with a NanoDrop ND-1000 spectophotometer (Thermo Scientific; MA; USA). RNA integrity was verified with an Agilent 2100 Bioanalyzer (Agilent Technologies; CA; USA). Index-tagged cDNA libraries were constructed from 500 ng of total RNA using the TruSeq RNA Sample Preparation v2 Kit (Illumina; CA; USA). Libraries were quantified by Quant-iTâ„¢ dsDNA HS assay in a Q-bit fluorometer (Life Technologies; CA; USA). Average library size and size distribution were determined by DNA 1000 assay in an Agilent 2100 Bioanalyzer. Libraries were normalized to 10nM using 10mM Tris-HCl, pH8.5 containing 0.1% Tween 20 and then applied to an Illumina flow cell for cluster generation (True Seq SR Cluster Kit V2 cBot) and sequencing-by-synthesis. Single reads of length 75bp were generated with the TruSeq SBS Kit v5 (Illumina; CA; USA) on the Genome Analyzer IIx platform, following the standard RNA sequencing protocol. Reads were further processed using the CASAVA package (Illumina; CA; USA) to split reads according to adapter indexes and produce fastq files.

Publication Title

Myocardial VHL-HIF Signaling Controls an Embryonic Metabolic Switch Essential for Cardiac Maturation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP076475
Gene expression by high-throughput sequencing of T47D-MTVL human breast cancer cells upon H1.4 knock-down and multiple H1 variants
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Gene expression of T47D-MTVL human breast cancer cells expressing Dox-inducible shRNAs against histone H1.4 (120sh) or multiple H1 variants (225sh) Overall design: Stable breast cancer-derived cell lines expressing an shRNA against one of each of the histone H1 isoforms in response to doxycycline (Dox) were grown for six days in the presence or absence of Doxicycline, RNA extracted and high-thorughput sequenced. Cell lines used: inducible shRNA against H1.4 or multiple H1 variants and random shRNA-expression vector.

Publication Title

Histone H1 depletion triggers an interferon response in cancer cells via activation of heterochromatic repeats.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP062238
Mutations in the NOTCH pathway regulator MIB1 cause left ventricular noncompaction cardiomyopathy
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Left ventricular noncompaction (LVNC) Causes prominent ventricular trabeculations and reduces cardiac systolic function. The clinical presentation of LVNC ranges from asymptomatic to heart failure. We show that germline mutations in human MIB1 (mindbomb homolog 1), which encodes an E3 ubiquitin ligase that promotes endocytosis of the NOTCH ligands DELTA and JAGGED, cause LVNC in autosomal-dominant pedigrees, with affected individuals showing reduced NOTCH1 activity and reduced expression of target genes. Functional studies in cells and zebrafish embryos and in silico modeling indicate that MIB1 functions as a dimer, which is disrupted by the human mutations. Targeted inactivation of Mib1 in mouse myocardium causes LVNC, a phenotype mimicked by inactivation of myocardial Jagged1 or endocardial Notch1. Myocardial Mib1 mutants show reduced ventricular Notch1 activity, expansion of compact myocardium to proliferative, immature trabeculae and abnormal expression of cardiac development and disease genes. These results implicate NOTCH signaling in LVNC and indicate that MIB1 mutations arrest chamber myocardium development, preventing trabecular maturation and compaction. Overall design: RNA was isolated from the ventricles of 16 WT and 16 Mib1flox; CTnT-cre hearts at E14.5 and then pooled into four replicates.

Publication Title

Mutations in the NOTCH pathway regulator MIB1 cause left ventricular noncompaction cardiomyopathy.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE48944
Gene expression profiles of human kidneys
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The association of cytosine methylation and gene expression in the human kidneys is yet to be determined, here we have 25 pairs of the methylation and gene expression profile.

Publication Title

Cytosine methylation changes in enhancer regions of core pro-fibrotic genes characterize kidney fibrosis development.

Sample Metadata Fields

Specimen part

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accession-icon SRP128585
Von Hippel-Lindau protein is required for optimal alveolar macrophage terminal differentiation, self-renewal and function.
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The rapid transit from hypoxia to normoxia in the lung that follows the first breath in newborn mice coincides with alveolar macrophage (AM) differentiation. However, whether sensing of oxygen affects AM maturation and function has not been previously explored. We have generated mice whose AMs show a deficient ability to sense oxygen after birth by deleting Vhl, a negative regulator of HIF transcription factors, in the CD11c compartment (CD11c?Vhl mice). VHL-deficient AMs show an immature-like phenotype and an impaired self-renewal capacity in vivo that persists upon culture ex vivo. VHL-deficient phenotype is intrinsic in AMs derived from monocyte precursors in mixed bone marrow chimeras. Moreover, unlike control Vhlfl/fl, AMs from CD11c?Vhl mice do not revert pulmonary alveolar proteinosis when transplanted into Csf2rb-/- mice, demonstrating that VHL contributes to AM-mediated surfactant clearance. Thus, our results suggest that optimal AM terminal differentiation, self-renewal, and homeostatic function requires their oxygen sensing capacity. Overall design: BAL AMs were pooled from 5-7 age and sex-matched mice per genotype and further purified by positive selection with anti-CD11c-microbeads (Miltenyi Biotec), following manufacturer's instructions. Cell lysis was performed with buffer RLT (Qiagen), containing 10µ/ml ß-mercaptoethanol and RNA was isolated with RNeasy Plus Mini Kit (Qiagen). RNA concentration and integrity were determined with an Agilent 2100 Bioanalyzer (Caliper Life Science). Samples with RNA integrity values > 8 were further processed. A total of 3 pools per genotype were used for RNA Seq.

Publication Title

Von Hippel-Lindau Protein Is Required for Optimal Alveolar Macrophage Terminal Differentiation, Self-Renewal, and Function.

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE80384
Notch pathway is overexpressed and is a therapeutic target in clear cell renal cancer
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We generated a list of Notch target genes in vivo by determining differentially expressed genes in tubules obtained from Pax8rtTA TREICNotch1 mice compared to controls.

Publication Title

Notch Pathway Is Activated via Genetic and Epigenetic Alterations and Is a Therapeutic Target in Clear Cell Renal Cancer.

Sample Metadata Fields

Specimen part

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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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