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accession-icon GSE10714
Expression data from human colonic biopsy sample
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profile based classification of colonic diseases are suitable for identification of diagnostic mRNA expression patterns which can establish the basis of a new molecular biological diagnostic method

Publication Title

Diagnostic mRNA expression patterns of inflamed, benign, and malignant colorectal biopsy specimen and their correlation with peripheral blood results.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10715
Expression data from normal and CRC human peripheral blood samples
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The whole-genome oligonucleotide microarray analysis of peripheral blood samples can contribute to the determination of distant blood markers of local pathophysiological alterations in colorectal diseases. These markers can lead to alternative screening procedures.

Publication Title

Diagnostic mRNA expression patterns of inflamed, benign, and malignant colorectal biopsy specimen and their correlation with peripheral blood results.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE15960
Expression data from human colonic epithelial cells normal (N), adenoma (AD) or colorectal cancer (CRC) tissues
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The whole-genome oligonucleotide microarray analysis of laser microdissected human colonic epithelial cells can contribute to determination of disease-specific expression alterations in colonic epithelial cells and to localize the origin the expression changes measured in whole biopsy samples.

Publication Title

Reversal of gene expression changes in the colorectal normal-adenoma pathway by NS398 selective COX2 inhibitor.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE15799
Expression data from NS398-treated and control HT29 colon adenocarcinoma cell line samples
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The whole-genome oligonucleotide microarray analysis of NS398-treated HT29 colon adenocarcinoma cells samples can give an insight into global molecular background of selective COX2 inhibitor administration in order to find other target molecules and pathways influenced by NS398 selective COX2 inhibitor treatment in the epithelial cells.

Publication Title

Reversal of gene expression changes in the colorectal normal-adenoma pathway by NS398 selective COX2 inhibitor.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE13762
Comparative gene expression profile of 1,25-dihydroxyvitamin D3-treated human monocyte-derived dendritic cells
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We have carried out global gene expression analysis to clarify the interrelationship between 1,25-dihydroxyvitamin D3 and differentiation-driven gene expression patterns in developing human monocyte-derived dendritic cells. Monocytes were treated with 10 nM 1,25-dihydroxyvitamin D3 or vehicle 14 hours after plating for 12 hours or 5 days. Monocytes, differentiating dendritic cells (+/-1,25-dihydroxyvitamin D3 for 12 hours) and immature dendritic cells (+/-1,25-dihydroxyvitamin D3 for 5 days) were harvested. This design allows one to identify genes regulated by differentiation and/or 1,25-dihydroxyvitamin D3 in human monocyte-derived dendritic cells.

Publication Title

1,25-dihydroxyvitamin D3 is an autonomous regulator of the transcriptional changes leading to a tolerogenic dendritic cell phenotype.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE37364
Expression data from human colonic biopsy samples (adenoma-carcinoma)
  • organism-icon Homo sapiens
  • sample-icon 91 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Whole genomic microarray analysis was performed in order to identify gene expression profile alterations focusing on the dysplastic adenoma-carcinoma transition. Our aims were to determinate characteristic transcript sets for developing diagnostic mRNA expression patterns for objective classification of benign and malignant colorectal diseases and to test the classificatory power of these markers on an independent sample set.

Publication Title

Myofibroblast-derived SFRP1 as potential inhibitor of colorectal carcinoma field effect.

Sample Metadata Fields

Disease, Disease stage

View Samples
accession-icon GSE5081
Expression data from Helicobacter positive and negative human gastritis samples
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The whole-genome oligonucleotide microarray analysis gives an opportunity for studying the unidentified gene expression background of the idiopathic and H.pylori related gastric erosive alterations. Using microarrays we compared the whole genome gene expression profile of HP+ and HP- gastric erosions and normal adjacent mucosa to explain the possible role and response to HP infection and to get morphology related mRNA expression patterns.

Publication Title

Helicobacter pylori and antrum erosion-specific gene expression patterns: the discriminative role of CXCL13 and VCAM1 transcripts.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP061380
Decrease in EZH2 histone methyltransferase mediates the effects of fluid shear stress (FSS) in endothelial cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

High uniform fluid shear stress (FSS) is atheroprotective and preserves the endothelial phenotype and function through activation of downstream mediators such as MAPK7 (Erk5). Endothelial cells respond to FSS thanks to mechanotransduction. However, how the resulting signaling is integrated and resolved at the epigenetic level, remains elusive. We hypothesized that Polycomb methyltransferase EZH2 is involved in the effects of FSS in human endothelial cells. We showed that FSS decreases the expression of the Polycomb methyltransferase EZH2. Despite simultaneous activation of MAPK7, MAPK7 pathway does not directly influence the transcription of EZH2. Interestingly though, the knock down of EZH2 activates the protective MAPK7 signaling in endothelial cells, even in the absence of FSS. To understand the influence of the FSS-decreased expression of EZH2 on endothelial transcriptome, we performed RNA-seq and differential gene expression analysis. We identified candidate groups of genes dependent on both EZH2 and FSS. Among those, Gene Ontology overrepresentation analysis revealed highly significant enrichment of the cell cycle-related genes, suggesting changes in proliferation. Indeed, the depletion of EZH2 strongly inhibited endothelial proliferation, indicating cell cycle arrest. The concomitant decrease in CCNA expression suggests the transition of endothelial cells into a quiescent phenotype. Further bioinformatical analysis suggested TXNIP as a possible mediator between EZH2 and cell cycle-related gene network. Our data show that EZH2 is a FSS-responsive gene. Decreased EZH2 levels enhance the activation of the atheroprotective MAPK7 signaling. Decrease in EZH2 under FSS mediates the decrease in the expression of the network of cell cycle-related genes, which allows the cells to enter quiescence. EZH2 is therefore important for the protective effects of FSS in endothelium. Overall design: Puromycin-selected HUVEC (Human Umbilical Vein Endothelial Cells, Lonza, Switzerland) cells, expressing either scrambled control (SCR) or anti-EZH2 short-hairpin (shEZH2) constructs (at total 7 days after the first viral transduction), were used in FSS experiments (72h of control static culture or exposure to 20 dynes/cm2 of fluid shear stress, using Ibidi pump system (in µ-Slides I 0.4 Luer, Ibidi, Planegg/Martinsried, Germany)). Each replicate experiment consisted of viral transductions and puromycin selection of a separate HUVEC batch, followed by the FSS experiment. Two FSS experimental sets of the same HUVEC batch were run every time in parallel and lysed at the same end time point, one in RNAse-free conditions with RNA-Easy Mini Plus kit RLT Plus lysis buffer (QIAGEN, Venlo, The Netherlands), and one with RIPA buffer. The RIPA-lysates were analyzed with Western blotting and confirmed the complete (no protein present) knock-down of EZH2. From the RNA-lysates, RNA was isolated using the RNA-Easy Mini Plus kit (QIAGEN, Venlo, The Netherlands). High quality RNA samples (pre-assessed by Nanodrop measurements) were further processed in the Genome Analysis Facility of the University Medical Center Groningen. The RNA quality and integrity were verified using PerkinElmer Labchip GX with a cut-off value of 9 (scale 1 to 10, where 9 is very high quality RNA). RNA library was created in accordance with the TruSeqTM RNA Sample Preparation v2 Guide (Illumina, San Diego, CA, USA), using the PerkinElmer Sciclone liquid handler, resulting in 330bp cDNA fragments. The paired-end sequencing (100bp reads) was performed using the Illumina HiSeqTM 2500. (Quoted from the Materials and Methods of the related manuscript, with adjustments).

Publication Title

The decrease in histone methyltransferase EZH2 in response to fluid shear stress alters endothelial gene expression and promotes quiescence.

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-736
Transcription profiling by array of zebrafish ZF4 and PAC2 cells after treatment with fetal calf serum
  • organism-icon Danio rerio
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

In this study, zebrafish ZF4 and PAC2 cells were seeded in 0.5% or 1% FCS, respectively, and grown to 85% confluence and subsequently cultured for 24 hours without serum. Then they were treated with either medium without serum or medium with serum (ZF4 in 10% FCS and PAC2 in 15% FCS).After 6 hours, RNA was extracted from the cells and analyzed using the Affymetrix GeneChip Zebrafish Genome Array (GeneChip 430). There are 15502 oligonucleotide sets on each Affymetrix chip, 14895 of which can be linked to a UniGene assignment (Unigene data set 06-12-2005).

Publication Title

Genetic and transcriptome characterization of model zebrafish cell lines.

Sample Metadata Fields

Cell line, Compound

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accession-icon GSE50617
Expression data from mouse CD3+ T-cells from WT and KLF13 KO mice
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Kruppel-like factors are a subclass of zinc finger transcription factors that play important roles in different aspects of cell growth, development, and differentiation. Our group have identified KLF13 as an essential transcription factor for the late expression of chemokine RANTES in T lymphocytes. However, very little is known about the role of KLF13 in T cells and other potential transcriptional targets. To address this, we sought to identify genes that are regulated by KLF13 in mouse T cells. Using microarray analysis, we compared gene expression in activated CD3+ T lymphocytes from wild type and Klf13-/- animals.

Publication Title

KLF13 cooperates with c-Maf to regulate IL-4 expression in CD4+ T cells.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
...

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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