refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 122 results
Sort by

Filters

Technology

Platform

accession-icon GSE12705
Differential gene expression during porcine conceptus trophoblastic elongation and attachment to the uterine epithelium
  • organism-icon Sus scrofa
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The objective of the present investigation was to utilize the GeneChip Porcine Genome Array from Affymetrix possessing 20, 201 unique probe sets to identify differentially expressed genes during rapid trophoblastic elongation and attachment to the uterine surface in the pig. Identification and characterization of conceptus gene expression patterns during rapid trophoblastic elongation and attachment in the pig will provide a better understanding of the events required for successful implantation and embryonic survival.

Publication Title

Identification of differential gene expression during porcine conceptus rapid trophoblastic elongation and attachment to uterine luminal epithelium.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE18343
Expression data from estrogen disrupted endometrium
  • organism-icon Sus scrofa
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Placentation of the conceptus to the surface epithelium is governed through a tightly regulated temporal and spatial window. Premature exogenous steriod exposure causes a shift in the maternal tissue's receptivity and prevents proper placentation.

Publication Title

Effects of aberrant estrogen on the endometrial transcriptional profile in pigs.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE56640
Genome wide characterization reveals complex interplay between TP53 and TP63 in response to genotoxic stress
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II, Affymetrix Human Exon 1.0 ST Array [AltAnalyze 2.0.6 beta probeset-to-Ensembl mapping (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide characterization reveals complex interplay between TP53 and TP63 in response to genotoxic stress.

Sample Metadata Fields

Treatment

View Samples
accession-icon GSE57187
Genome wide characterization reveals complex interplay between TP53 and TP63 in response to genotoxic stress [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [AltAnalyze 2.0.6 beta probeset-to-Ensembl mapping (huex10st)

Description

In response to genotoxic stress the TP53 tumour suppressor activates target gene expression to induce cell cycle arrest or apoptosis depending on the extent of DNA damage. These canonical activities can be repressed by TP63 in normal stratifying epithelia to maintain proliferative capacity or drive proliferation of squamous cell carcinomas, where TP63 is frequently overexpressed/amplified. Here we use ChIP-sequencing, integrated with microarray analysis, to define the genome wide interplay between TP53 and TP63 in response to genotoxic stress in normal cells. We reveal that TP53 and TP63 bind to overlapping, but distinct cistromes of sites through utilization of distinctive consensus motifs and that TP53 is constitutively bound to a number of sites. We demonstrate that cisplatin and adriamycin elicit distinct effects on TP53 and TP63 binding events, through which TP53 can induce or repress transcription of an extensive network of genes by direct binding and/or modulation of TP63 activity. Collectively, this results in a global TP53 dependent repression of cell cycle progression, mitosis and DNA damage repair concomitant with activation of anti-proliferative and pro-apoptotic canonical target genes. Further analyses reveals that in the absence of genotoxic stress TP63 plays an important role in maintaining expression of DNA repair genes, loss of which results in defective repair

Publication Title

Genome-wide characterization reveals complex interplay between TP53 and TP63 in response to genotoxic stress.

Sample Metadata Fields

Treatment

View Samples
accession-icon GSE60918
Genome wide targeting of the epigenetic regulatory protein CTCF to gene promoters by the transcription factor TFII-I
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide targeting of the epigenetic regulatory protein CTCF to gene promoters by the transcription factor TFII-I.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE60915
Genome wide targeting of the epigenetic regulatory protein CTCF to gene promoters by the transcription factor TFII-I [gene expression]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Analysis of the effect of TFII-I depletion on gene expression Wehi-231 cell lines.

Publication Title

Genome-wide targeting of the epigenetic regulatory protein CTCF to gene promoters by the transcription factor TFII-I.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE55301
BCL6 target genes in a Burkitt's lymphoma cell line with inducible BCL6 expression.
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

In order to determine BCL6 target genes an EBV negative Burkitt's lymphoma cell line, DG75, was stably transfected with a tetracycline transactivator and tight doxycycline responsive expression of GFP was established. The endogenous BCL6 genes of this cell line were disrupted by homologous recombination and a BCL6 cDNA downstream of tetracycline responsive elements (TRE) was inserted to produce Bcl6-/-:tetBCL6-HA cells. Westerns demonstrated doxycycline dependent BCL6 expression.Bcl6-/-:tet. BCL6-HA cells (clone AB7) were either grown without doxycycline (control) or with 1 ug/ml doxycycline for 16, 48 or 96 hours. Total RNA was extracted using RNeasy minipreps (Qiagen) and concentration and quality were checked on the NanoDrop ND- 1000 spectrophotometer (NanoDrop Technologies, USA) and the RNA Nano 6000 kit (Agilent Technologies) on a 2100 Bioanalyzer (Agilent Technologies). One hundred ng of total RNA was processed with the GeneChip Eukaryotic Whole Transcript Sense Target Labelling Assay kit (Affymetrix) according to the manufacturer's details. Hybridisation and scanning of GeneChips was carried out at the CSC/IC Microarray Centre, MRC Clinical Sciences Centre Imperial College London and data analysis by Bioinformatics Support Service, Imperial College London. Briefly, pre- processing of data was performed using GeneSpring GX 10.0.2 software (Agilent Technologies) which applied the "Exon RMA16" algorhithm to the data set. Exon RMA16 performs background correction, quantile normalisation, median polish summarisation and variance stabilisation of 16. In background correction, intensity values of each individual array are corrected for non-specific binding by subtracting the average signal intensity of the area between spots from each probe set. Normalisation is required so multiple chips can be compared to each other. Quantile normalisation adjusts the distribution of probe intensity of each array analysed and so that the distribution of probe intensities for each array in a set of arrays is the same. Probe summarisation refers to the conversion of probe level values (there are approximately 26 probes per gene on each GeneChip) to a single probe set expression value. Variance stabilisation of 16 refers to the addition of the value 16 to the expression values. By increasing the expression value, the variance of the data set is reduced and the distribution (defined by its mean and its variance) is stabilised.

Publication Title

Synthetic Lethal Screen Demonstrates That a JAK2 Inhibitor Suppresses a BCL6-dependent IL10RA/JAK2/STAT3 Pathway in High Grade B-cell Lymphoma.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE29544
Expression profiling of human T-LL cell line CUTLL1
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Notch is normally activated by cleavage and nuclear translocation of its intracellular domain (ICN1), which turns on downstream target genes. Human T cell acute lymphoblastic leukemia (T-ALL), an aggressive immature T cell malignancy, is associated with Notch 1 gain-of-function mutations in more than 50% of the cases. Efforts to date to identify direct Notch1 targets have been confounded by the lack of a method to turn Notch1 on in a controlled fashion in T-ALL cells that are poised to respond to Notch signals. Of note, because Notch signaling activates transcriptional repressors that feedback to dampen the expression of many target genes (a process referred to as incoherent logic), it is likely that many direct targets are missed in Notch off analyses, which are further complicated by an inability to identify direct targets in a clear-cut fashion. We have overcome this limitation by developing a GSI washout method that results in the rapid translocation of activated Notch1 to the nucleus. We intend to use this method to study the assembly and loading of transcriptional complexes onto downstream targets, the kinetics of target activation. To date, our efforts have been devoted to comparing the gene expression signature of Notch-on and Notch-off in the human T-ALL cell line CUTLL. In addition to previously identified Notch1 target genes, we have also identified a series of novel genes upregulated by GSI washout in the presence of cycloheximide, suggesting that they are likely to be direct targets.

Publication Title

Genome-wide analysis reveals conserved and divergent features of Notch1/RBPJ binding in human and murine T-lymphoblastic leukemia cells.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE67438
Selective inhibition of SIN3 corepressor with avermectins as a novel therapeutic strategy in triple negative breast cancer
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Triple negative breast cancers (TNBC) lacking estrogen, progesterone and HER2 receptors account for 10-20% of breast cancer and are indicative of poor prognosis. The development of effective treatment strategies therefore represents a pressing unmet clinical need. We previously identified a molecularly-targeted approach to target aberrant epigenetics of TNBC using a peptide corresponding to the SIN3 interaction domain (SID) of MAD. SID peptide selectively blocked binding of SID-containing proteins to the paired -helix (PAH2) domain of SIN3, resulting in epigenetic and transcriptional modulation of genes associated with epithelial-mesenchymal transition (EMT). To find small molecule inhibitor (SMI) mimetics of SID peptide we performed an in silico screen for PAH2 domain-binding compounds. This led to the identification of the avermectin macrocyclic lactone derivatives selamectin and ivermectin (Mectizan) as candidate compounds. Both selamectin and ivermectin phenocopied the effects of SID peptide to block SIN3-PAH2 interaction with MAD, induce expression of CDH1 and ESR1 and restore tamoxifen sensitivity in MDA-MB-231 human and MMTV-Myc mouse TNBC cells in vitro. Treatment with selamectin or ivermectin led to transcriptional modulation of genes associated with EMT and maintenance of a cancer stem cell phenotype in TNBC cells. This resulted in impairment of clonogenic self-renewal in vitro and inhibition of tumor growth and metastasis in vivo. Underlining the potential of avermectins in TNBC, pathway analysis revealed that selamectin also modulated the expression of therapeutically-targetable genes. Consistent with this, an unbiased drug screen in TNBC cells identified selamectin-induced sensitization to a number of drugs, including those targeting modulated genes.

Publication Title

Selective Inhibition of SIN3 Corepressor with Avermectins as a Novel Therapeutic Strategy in Triple-Negative Breast Cancer.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE72642
Genomic profiles for human peripheral blood T cells, B cells, natural killer cells, monocytes, and polymorphonuclear cells: comparisons to ischemic stroke, migraine, and Tourette syndrome
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Blood genomic profiling has been applied to disorders of the blood and various organ systems including brain to elucidate disease mechanisms and identify surrogate disease markers. Since most studies have not examined specific cell types, we performed a preliminary genomic survey of major blood cell types from normal individuals using microarrays. CD4+ T cells, CD8+ T cells, CD19+ B cells, CD56+ natural killer cells, and CD14+ monocytes were negatively selected using the RosetteSep antibody cocktail, while polymorphonuclear leukocytes were separated with density gradient media.

Publication Title

Genomic profiles for human peripheral blood T cells, B cells, natural killer cells, monocytes, and polymorphonuclear cells: comparisons to ischemic stroke, migraine, and Tourette syndrome.

Sample Metadata Fields

Specimen part, Disease

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact