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GSE68731
Saccharomyces cerevisiae
3 Downloadable Samples
Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
RPA12 is a subunit of RNA polymerase I.
Publication Title
Microarray data analyses of yeast RNA Pol I subunit RPA12 deletion strain.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
We hypothesized that gene expression in lungs of Fra-1+/+ and Fra-1-/- mice are divergent thus contributing fibrosis. More specifically, Fra-1-/- mice are increased susceptible to fibrosis. In order to test these hypotheses at the gene expression level, we utilized microarray analysis to examine transcriptional differences between Fra-1+/+ and Fra-1-/- mice at early time point.
Publication Title
Expression profiling of genes regulated by Fra-1/AP-1 transcription factor during bleomycin-induced pulmonary fibrosis.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 22 Downloadable Samples
- Illumina HumanWG-6_V2_0_R2
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Tumour-initiating stem-like cells in human prostate cancer exhibit increased NF-κB signalling.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 22 Downloadable Samples
- Illumina HumanWG-6_V2_0_R2
Description
Human prostate CWR22 OT-tumor cells were prospectively purified for expression of various stem cell markers (TRA-1-60/CD151/CD166/EpCAM/CD44/2-Integrin). Unsorted total tumor cells or the additional marker positive cells that do not manifest stem-like characteristics were used as control. All these cells were subjected to molecular profiling of total RNA expression and the fold change data are tabulated according to S/TFE of the purified cells in relation to their control.
Publication Title
Tumour-initiating stem-like cells in human prostate cancer exhibit increased NF-κB signalling.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 42 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Objective: Conflicting evidence exists regarding the suppressive capacity of Tregs from the peripheral blood (PB) of patients with rheumatoid arthritis (RA). Our aim was to determine whether Tregs are intrinsically defective in RA using a wide range of read-out assays. Methods: CD3+CD4+CD25+CD127low Tregs from CD45RO+ and CD45RA+ compartments of PB from patients with RA and healthy controls (HC) were analysed for phenotype, cytokine expression profile (ex vivo and after in vitro stimulation), suppression of effector T-cell proliferation and cytokine production, suppression of monocyte-derived cytokine/chemokine production, and gene expression profiling. Results: No differences were observed between patients with RA and HC regarding Treg frequency, ex vivo phenotype (CD4, CD25, CD127, CD39, CD161) or pro-inflammatory cytokine profile (IL-17, IFN-gamma, TNF-alpha). FOXP3 expression was increased in Tregs from RA blood. The ability of Tregs to suppress T-cell proliferation or cytokine (IFN-gamma, TNF-alpha) production upon co-culture with autologous CD45RO+ effector T-cells and monocytes was not significantly different between patients with RA and HC. CD45RO+ Tregs from RA blood showed a slightly impaired ability to suppress production of some cytokines/chemokines by autologous LPS-activated monocytes (IL-1-beta, IL-1Ra, IL-7, CCL3, CCL4), but this was not true for all patients and other cytokines/chemokines (TNF-alpha, IL-6, IL-8, IL-12, IL-15, CCL5) were suppressed in the majority of patients similarly to HC. Finally, gene expression profiling of CD45RA+ or CD45RO+ Tregs from PB revealed no statistically significant differences between patients with RA and HC. Conclusions: Our findings suggest that Tregs isolated from PB of patients with RA are not intrinsically defective.
Publication Title
Phenotypic, Functional, and Gene Expression Profiling of Peripheral CD45RA+ and CD45RO+ CD4+CD25+CD127(low) Treg Cells in Patients With Chronic Rheumatoid Arthritis.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Subject
View Samples- Homo sapiens
- 26 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
CD14+ monocytes sorted from the synovial fluid or peripheral blood of rheumatoid arthritis patients were analyzed by full transcriptome microarray analysis. Monocytes from healthy control samples (peripheral blood) were also profiled.
Publication Title
MicroRNA-155 contributes to enhanced resistance to apoptosis in monocytes from patients with rheumatoid arthritis.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Subject
View Samples- Homo sapiens
- 9 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Staphylococcal nuclease domain-containing protein 1 (SND1) is overexpressed in human hepatocellular carcinoma (HCC) and positively regulates development and progression of HCC. We established stable clones expressing SND1 shRNA in QGY-7703 cells and analyzed the gene expression profiles of a control clone and two SND1 knockdown clones to check what genes are regulated by SND1.
Publication Title
Staphylococcal nuclease domain containing-1 (SND1) promotes migration and invasion via angiotensin II type 1 receptor (AT1R) and TGFβ signaling.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 4 Downloadable Samples
Illumina HiSeq 4000
Description
We look at differential gene expression between immortalized p65+/+ and p65-/- MEFs to identify potential NF-kB regulated genes which when grouped based on biological function indicates candidates involved in protecting p65+/+ cells from macrophage-mediated killing Overall design: Examination of differential gene expression between two cell types either in the presence or absence of p65
Publication Title
NF-κB regulates GDF-15 to suppress macrophage surveillance during early tumor development.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 137 Downloadable Samples
- Illumina HiSeq 2500
Description
Purpose: To identify regulatory proteins that are potential drivers of a coordinated breast cancer metastasis gene expression signatures. Methods: Knockdown of target genes in breast cancer cell lines was achieved using scramble and/or gene-specific siRNA (ON-TARGET SMARTpool, Thermo Scientific) and Lipofectamine RNAiMAX. 48h post transfection, total RNA was isolated from cell lines using the RNeasy Plus mini prep kit (Qiagen). Nucleic acid quality was determined with the Agilent 2100 Bioanalyzer. RNA Sequencing was also performed at the New York Genome Center (Manhattan, NY, USA) using a HiSeq 2500 Ultra-High-Throughput Sequencing System (Illumina, San Diego, CA, USA). Results: Raw reads in the fastq format were aligned to Human Genome HG19 using the RNA-seq STAR aligner version 2.4.0d (http://www.ncbi.nlm.nih.gov/pubmed/23104886, http://www.ncbi.nlm.nih.gov/pubmed/26334920) as recommended by user manual downloaded along with the software. STAR aligner was chosen for mapping accuracy and speed (http://www.nature.com/nmeth/journal/v10/n12/full/nmeth.2722.html). Mapped reads for each sample were counted for each gene in annotation files in GTF format (gencode.v19.annotation.gtf available for download from GENECODE website (http://www.gencodegenes.org/releases/19.html)) using the FeatureCounts read summarization program (http://www.ncbi.nlm.nih.gov/pubmed/?term=24227677) following the user guide (http://bioinf.wehi.edu.au/subread-package/SubreadUsersGuide.pdf). Individual count files were merged to generate the raw-counts matrix by an in-house R script, normalized to account for differences in library size and the variance was stabilized by fitting the dispersion to a negative-binomial distribution as implemented in the DESeq R package (http://bioconductor.org/packages/release/bioc/html/DESeq.html)(Anders and Huber, 2010). Conclusions: Our data suggest that targeting keystone proteins in the breast cancer metastasis transcriptome can effectively collapse transcriptional hierarchies necessary for metastasis formation, thus representing a formidable cancer intervention strategy. Overall design: Examination of mRNA profiling of breast cancer cell lines after knock-down of putative master regulators of the breast cancer metastasis transcriptome
Publication Title
An Integrated Systems Biology Approach Identifies TRIM25 as a Key Determinant of Breast Cancer Metastasis.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 12 Downloadable Samples
- Illumina HiSeq 2000
Description
Double transgenic mice with hepatocyte-specific expression of AEG-1 and c-Myc show aggressive HCC compared to single transgenics. Gene expression was analyzed to understand the molecular mechanism by which AEG-1 and c-Myc cooperate to promote hepatocarcinogenesis. Overall design: Livers were collected from naïve adult mice (3 mice/group). Total RNA was extrancted and subjected to RNA-Seq.
Publication Title
Astrocyte elevated gene-1 and c-Myc cooperate to promote hepatocarcinogenesis in mice.
Sample Metadata Fields
No sample metadata fields
View Samples