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Mus musculus
12 Downloadable Samples
Affymetrix Mouse Expression 430A Array (moe430a)
Description
MB114 cells cultured on Matrigel for 1, 5, 15, 25 hours
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
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GSE2336- Mus musculus
- 24 Downloadable Samples
- Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
Goal of experiment: Identification of differentially expressed immune genes from male and female BWF1 lupus-prone mice. (Female incidence is higher than male--attempting to find sex hormone regulated genes that may contribute to this difference). Whole spleen was taken from pre-lupus (4 months old) BWF1 (females are lupus-prone) male and female mice. Preparation of cDNA. Double-stranded cDNA was synthesized from purified RNA. The first strand was synthesized by incubating 5 g of RNA with 100 pg/ml T7-(dT)24 primer (HPLC purified DNA primer sequence: 5-GGCCAGTGAATTGTAATACG ACTCACTATAGGGAGGCGG-(dT)24 -3 Genset Corp, San Diego, CA) at 70C for 10 minutes. Samples were incubated for 1 hour at 42C with the following mix: 1X first strand buffer, 10 mM dithiothreitol, 500 M each dNTP, 200 U SuperScript II in diethylpyrocarbonate (DEPC)-treated water up to 20 l. Second strand synthesis was performed by incubating the first strand with the following mix for 2 hours at 16C: 1X second strand reaction buffer, 200 M dntps, 10 U E. coli DNA ligase, 40 U E coli DNA Polymerase I, 2 U of E. coli RNase H up to 150 l with DEPC-treated water (all reagents were contained in SuperScript Choice System for cDNA Synthesis, Invitrogen). A phenol/chloroform extraction was performed on the ds-cDNA preparation before biotin-labeled cRNA was generated. Synthesis and fragmentation of biotin-labeled cRNA (in vitro transcription). The ENZO BioArrayTM HighYieldTM RNA Transcript Labeling Kit (T7) (Enzo diagnostics, Inc., Farmingdale, NY) was used to produce large amounts of hybridizable biotin-labeled RNA targets by in vitro transcription from the ds-cDNA. The following mix was incubated at 37C for 5 hours: 1 g of ds-cDNA, 1X HY reaction buffer, 1X biotin labeled ribonucleotides, 1X dithiothreitol, 1X T7 RNA Polymerase. Biotin-labeled cRNA was run over RNeasy spin columns (Qiagen), quantified, and run on an agarose gel to visualize the size distribution of labeled transcripts. Twenty micrograms of cRNA was incubated with 1X fragmentation buffer for 35 minutes at 94C. (5X fragmentation buffer: 200 mM Tris-acetate, pH 8.1, 500 mM KOAc, 150 mM MgOAc). After fragmentation, the samples were stored at -20C until the hybridization was performed. Sample hybridization. Oligonucleotide microarrays (MGU74v2 A, B, and C GeneChip probe arrays; Affymetrix) were hybridized with labeled cRNA derived from spleens from individual mice. For each array,15 g of fragmented cRNA was mixed with a hybridization cocktail consisting of 1X hybridization buffer (2X hybridization buffer: 100 mM MES, 1 M [Na+], 20 mM EDTA, 0.01% Tween), 0.5 mg/ml acetylated BSA (Invitrogen), 0.1 mg/ml herring sperm DNA (Promega), and water (BioWhittaker) up to 300 l). Biotin labeled cRNA transcripts of the E. coli and P1 bacteriophage genes, BioB, bioC, bioD, and cre (GeneChip Eukaryotic Hybridization control kit, Affymetrix) were spiked into each hybridization mix at 1.5, 5, 25, and 100 pM to evaluate sample hybridization efficiency for each array. The hybridization cocktail was heated to 99C and then 45C for 5 minutes each before it was centrifuged to remove any insoluble material. The array was equilibrated to room temperature, moistened with 1X hybridization buffer, and incubated for 10 minutes at 45C with rotation. After incubation, the buffer solution was removed from the array. The array was filled with 300 l of the hybridization cocktail, placed in a rotisserie box in a 45C oven, and incubated for 16 hours while rotating at 60 rpm. Washing and staining of array. The hybridization cocktail was removed and the GeneChip Fluidics Station 400 (Affymetrix) with Microarray Suite software (Affymetrix) was used to wash and stain the probe arrays with the following protocol: 10 cycles of 2 mixes/cycle with wash buffer A at 25C, 4 cycles of 15 mixes/cycle with wash buffer B at 50C, 30 minute incubation with staining solution at 25C, 10 cycles of 4 mixes/cycle with wash buffer A at 25C. Wash buffer A -- non-stringent wash buffer (6X sodium chloride sodium phosphate + ethylenediaminetetraacetic acid (SSPE), 0.01% Tween-20). (20X SSPE: 3 M NaCl, 0.2 M NaH2PO4, 0.02 EDTA) (BioWhittaker). Wash buffer B stringent wash buffer (100mM MES, 0.1 M [Na+], 0.1% Tween 20). Staining solution (1X 2-(N-Morpholino)ethanesulfonic Acid (MES) stain buffer, 2 mg/ml acetylated BSA, 10 g/ml Streptavidin Phycoerythrin (SAPE), and water up to 600 l). (12X MES stain buffer: 1.22 M MES, 0.89 M [Na+]). Analysis. After staining, the probe arrays were scanned using the GeneChip 3000 Scanner (Affymetrix) with Microarray Suite software (Affymetrix). Technical and assay variation between arrays was corrected for by multiplying or dividing the overall intensity of each array by a scaling factor so that the overall intensity of each array was equivalent to facilitate comparison analysis.
Publication Title
Identification of candidate genes that influence sex hormone-dependent disease phenotypes in mouse lupus.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Expression 430A Array (moe430a)
Description
Inbred Long-Sleep (ILS) and Inbred Short-Sleep (ISS) mice exhibit a large difference in a number of alcohol and drug related behaviors. This study examined the expression levels of transcripts in these strains in the cerebellum, which is a major target of ethanols actions in the CNS, in order to find differentially expressed candidate genes for these phenotypes. Cerebellum was specifically chosen due to the fact that Purkinje cell sensitivity to ethanol in these strains is highly correlated to "sleep time", the measure of ethanol sensitivity used with these strains. Naive mice were used because differences in sensitivity are observed upon initial exposure to ethanol.
Publication Title
Expression profiling identifies novel candidate genes for ethanol sensitivity QTLs.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 134 Downloadable Samples
Illumina HiSeq 2000
Description
NA
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Cell line
View Samples- Homo sapiens
- 96 Downloadable Samples
- Illumina HiSeq 2000
Description
Single-cell RNA-seq reveals dynamic estrogen-stimulated metabolic reprogramming in breast cancer cell lines
Publication Title
No associated publication
Sample Metadata Fields
Sex, Specimen part, Cell line
View Samples- Homo sapiens
- 93 Downloadable Samples
- Illumina HiSeq 2000
Description
Single-cell RNA-seq reveals dynamic estrogen-stimulated metabolic reprogramming in breast cancer cell lines
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Cell line
View Samples- Homo sapiens
- 50 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background & Aims: Genome-wide gene expression (GWGE) profiles of mucosal colonic biopsies have suggested the existence of a continuous inflammatory state in quiescent ulcerative colitis (UC). The aim of this study was to use DNA microarray-based GWGE profiling of mucosal colonic biopsies and isolated colonocytes from UC patients and controls in order to identify the cell types responsible for the continuous inflammatory state. Methods: Adjacent mucosal colonic biopsies were obtained endoscopically from the descending colon in patients with active UC (n=8), quiescent UC (n=9), and with irritable bowel syndrome (controls, n=10). After isolation of colonocytes and subsequent extraction of total RNA, GWGE data were acquired using Human Genome U133 Plus 2.0 GeneChip Array (Affymetrix, Santa Clara, CA). Data analysis was carried out by principal component analysis and projection to latent structure-discriminant analysis using the SIMCA-P11 software (Umetrics, Ume, Sweden). Results: A clear separation between active UC, quiescent UC and control biopsies were found, whereas the model for the colonocytes was unable to distinguish between quiescent UC and controls. The differentiation between quiescent UC and control biopsies was governed by unique profiles containing gene expressions with significant fold changes. These primarily belonged to the family of homeostatic chemokines revealing a plausible explanation to the abnormal regulated innate immune response seen in patients with UC. Conclusion: This study has demonstrated the presence of a continuous inflammatory state in quiescent UC, which seems to reflect an altered gene expression profile of lamina propria cells.
Publication Title
Genome-wide gene expression analysis of mucosal colonic biopsies and isolated colonocytes suggests a continuous inflammatory state in the lamina propria of patients with quiescent ulcerative colitis.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 30 Downloadable Samples
- Illumina HiSeq 2000
Description
NA
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Cell line
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Klinefelters Syndrome (KS) is one of the common chromosome aneuploidy diseases in males with unexplained physiological mechanism. iPSCs, are similar to ESCs in terms of indefinitive self-renewal and pluripotency, provided an alternative choice for modeling disease to facilitate the disease research in vitro.
Publication Title
Aberrant gene expression profiles in pluripotent stem cells induced from fibroblasts of a Klinefelter syndrome patient.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 13 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background and aim: Analysis of data obtained from genome wide gene expression experiments is challenging, due to the huge amount of variables, management of the data and the need for multivariate analysis. We here present the R package: pcaGoPromoter that facilitates the interpretation of genome wide expression data to overcome these problems. In a first step principal component analysis is applied to overview any differences between the observations and possible groupings. The next step is interpretation of the principal components with respect to both biological function and involvement of predicted transcription factor binding sites. The robustness of the results is evaluated using cross validation. Illustrative plots of PCA score plots and Gene Ontology terms are available. To illustrate the functionality of the R package, we designed a serum stimulation experiment, where the main biological outcome is well documented. Results: Samples from the serum stimulation experiment were analyzed using the Affymetrix Human Genome U133 Plus 2.0 chip. The array data were analyzed by the tools of the pcaGoPromoter package, which resulted in a clear separation of the observations into the three experimental groups - controls, serum only and serum with inhibitor. The functional annotation of the axes in the PCA score plot showed the expected serum promoted biological processes such as cell cycle progression and the predicted involvement of the expected transcription factors including E2F. In addition unexpected results, e.g. the cholesterol synthesis in serum depleted cells and NF-B activation in inhibitor treated cells were uncovered. Conclusion: The pcaGoPromoter R package provides a collection of tools for analyzing gene expression data. It works with any platform using gene symbols or Entrez Ids as probe identifiers. In addition support for several popular Affymetrix GeneChip platforms is provided. The tools give an overview of the data via principal component analysis, functional interpretation by Gene Ontology terms (biological processes), and indication of involvement of possible transcription factors. Thus, pcaGoPromoter structures the high-dimensional data of gene expression experiments and can be applied to generate hypotheses for further exploration.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part, Cell line
View Samples