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GSE16250
Homo sapiens
6 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Human peripheral blood mononuclear cells were cultured in presence of H37Ra strain at 37oC, 5%CO2. Cellular aggregates were collected at 24h, and RNA extracted and hybridized to Affymetrix microarrays (HG-U133). Raw data from microarray experiments was analyzed with dCHIP and SAM programs to determine the significance of changes at the biological context.
Publication Title
Microarray analysis of the in vitro granulomatous response to Mycobacterium tuberculosis H37Ra.
Sample Metadata Fields
Specimen part
View Samples- Rattus norvegicus
- 4 Downloadable Samples
- Affymetrix Rat Genome U34 Array (rgu34a)
Description
we analyzed the gene expression profiles of Mat-Lylu cell lines (in duplicate) compared to G cell lines (in duplicate) using Affymetrix tools and dChip software. The objective was to find metastasis-associated genes in prostate cancer, using this in vitro model.
Publication Title
DNA microarray analysis reveals metastasis-associated genes in rat prostate cancer cell lines.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 16 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Metastasis leads to the majority of deaths in breast cancer patients. Here we investigated the molecular and biochemical signaling pathways altered by RECK, a major metastasis suppressor gene in breast cancer. We overexpressed RECK in 2 highly invasive cell lines and knocked-down RECK expression in 2 poorly invasive cell lines. IPA analysis of differentially expressed genes revealed IL-6, and IL8 signaling alteration with RECK pertubation. This lead us to discover that RECK suppresses metastasis and neoangiogenesis at secondary sites by inhibiting STAT3 dependent VEGF & uPA regulating. This finding is significant because it reveals the biology behind a major metastasis suppressor gene in cancer.
Publication Title
RECK controls breast cancer metastasis by modulating a convergent, STAT3-dependent neoangiogenic switch.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 7 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Glioblastoma (GBM) is a highly aggressive type of glioma with poor prognosis. However, a small number of patients live much longer than the median survival. A better understanding of these long-term survivors (LTS) may provide important insight into the biology of GBM. We identified 7 patients with GBM treated at Memorial Sloan-Kettering Cancer Center (MSKCC) with survival greater than 48 months. We characterized the transcriptome of each patient and determined rates of MGMT promoter methylation and IDH1 and IDH2 mutational status. We identified LTS in two independent cohorts (TCGA and REMBRANDT) and analyzed the transcriptomal characteristics of these LTS. The median overall survival of our cohort was 62.5 months. LTS were distributed between the proneural (n=2), neural (n=2), classical (n=2) and mesenchymal (n=1) subtypes. Similarly, LTS in the TCGA and REMBRANDT cohorts demonstrated diverse transcriptomal subclassification identity. The majority of the MSKCC LTS (71%) were found to have methylation of the MGMT promoter. None of the patients had an IDH1 or IDH2 mutations, and IDH mutation occurred in a minority of the TCGA LTS as well. A set of 42 genes was found to be differentially expressed in the MSKCC and TCGA LTS. While IDH mutant proneural tumors impart a better prognosis in the short-term, survival beyond 4 years does not require IDH mutation and is not dictated by a single transcriptional subclass. In contrast, MGMT methylation continues to have strong prognostic value for survival beyond 4 years. These findings have substantial impact for understanding GBM biology and progression.
Publication Title
Transcriptional diversity of long-term glioblastoma survivors.
Sample Metadata Fields
Disease stage
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- Homo sapiens
- 16 Downloadable Samples
- Illumina HiSeq 2000
Description
Assessing the impact of HIV-1 infection on trancriptional program of quiescent CD4 T lymphocytes. Such cells were made susceptible to HIV-1 by dowmodulating SAMHD1 restriction factor using VLP-Vpx without any activation signal.
Publication Title
CD32a is a marker of a CD4 T-cell HIV reservoir harbouring replication-competent proviruses.
Sample Metadata Fields
Sex, Specimen part
View Samples- Arabidopsis thaliana
- 12 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Wild type, pkl, pkr2 and pkl pkr2 plants were grown, and gene expression in roots was compared at the age of 5 days. <br></br>
Publication Title
CHD3 proteins and polycomb group proteins antagonistically determine cell identity in Arabidopsis.
Sample Metadata Fields
Age, Specimen part, Time
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
How chromatin controls transcription elongation and splicing is an open question. Here we determine the transcriptomic changes of cells partially depleted of core histones. For that we construct a cell line with Doxycycline-controlled levels of the histone regulatory protein SLBP (HCT-shSLBP). HCT-shSLBP is derived from the human colon cancer cell line HCT116.
Publication Title
Defective histone supply causes changes in RNA polymerase II elongation rate and cotranscriptional pre-mRNA splicing.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 3 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
C33-A is a Homo sapiens cervix carcinoma cell line. In this experiment we determine the level of gene expression under exponentially growing conditions.
Publication Title
The chromatin remodeller CHD8 is required for E2F-dependent transcription activation of S-phase genes.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
We identified RNA targets of Matrin3 using SH-SY5Y by PAR-CLIP analysis. Because Matrin3 mainly bound to intron of pre-mRNA, in order to find the effect of Matrin3 on splicing pattern and expression, we knocked down Matrin3 using SH-SY5Y cells by electroporation and extracted total RNAs from those cells. The total RNAs were subjected to whole transcripts microarray GeneChip Affymetrix Human Transcriptome array 2.0.
Publication Title
Matrin3 binds directly to intronic pyrimidine-rich sequences and controls alternative splicing.
Sample Metadata Fields
Cell line, Treatment
View Samples