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GSE48832
Escherichia coli, Escherichia coli str. k-12 substr. mg1655
4 Downloadable Samples
Affymetrix E. coli Genome 2.0 Array (ecoli2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
COLOMBOS v2.0: an ever expanding collection of bacterial expression compendia.
Sample Metadata Fields
No sample metadata fields
View Samples- Escherichia coli
- 4 Downloadable Samples
- Affymetrix E. coli Genome 2.0 Array (ecoli2)
Description
Gene expression from Escherichia coli.
Publication Title
COLOMBOS v2.0: an ever expanding collection of bacterial expression compendia.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 29 Downloadable Samples
Illumina HiScanSQ, Illumina HiSeq 2500
Description
Naive spleens as well as naive and LPS-treated dendritic cells from wildtype and GPR34-/- mice were sequenced to integrate expression profiles with protein interaction networks and find functional modules that are affected by GPR34 Overall design: Expression profiles of dendritic cells and whole spleens were generated using Illumina HiSeq 2500/ Illumina HiScan
Publication Title
Dendritic Cells Regulate GPR34 through Mitogenic Signals and Undergo Apoptosis in Its Absence.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 5 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Treatment of MCF7 breast cancer cells by cisplatin leads to a very specific metabolic response and an onset of cell death about 10-11 h after beginning of treatment. For more detailed understanding of the molecular processes underlying the specific metabolic response, mRNA was isolated from MCF7 cells when the specific changes, (i) induction of glycolysis and (ii) onset of cell death, were detected during online measurement in the cell biosensor system.
Publication Title
Real-time monitoring of cisplatin-induced cell death.
Sample Metadata Fields
Cell line
View Samples- Mus musculus
- 18 Downloadable Samples
- Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
To investigate the importance of STAT3 in the establishment of ES cells we have in a first step derived stable pluripotent embryonic stem cells from transgenic FVB mice expressing a conditional tamoxifen dependent STAT3-MER fusion protein. In a second step, STAT3-MER overexpressing cells were used to identify STAT3 pathway-related genes by expression profiling in order to identify new key-players involved in maintenance of pluripotency in ES cells.
Publication Title
Expression profiling in transgenic FVB/N embryonic stem cells overexpressing STAT3.
Sample Metadata Fields
No sample metadata fields
View Samples GSE2278- Mus musculus
- 97 Downloadable Samples
- Affymetrix Mouse Expression 430A Array (moe430a)
Description
gene expression profiles of leukocytes from blood (WBCs) and spleen harvested at an early (two hours) time point after injury or sham injury in mice subjected to trauma-hemorrhage, burn injury or lipopolysaccharide (LPS)-infusion at three experimental sites
Publication Title
Commonality and differences in leukocyte gene expression patterns among three models of inflammation and injury.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 83 Downloadable Samples
- Illumina HiScanSQ
Description
In this study we investigated the effect of normal chow (0 % cholesterol) or a semisynthetic diet (high sugar, 0.02 % cholesterol) fed to mice lacking either Mc4r, Ldlr or both and wildtype animals (total of 4 genotypes) by generating an expression profile of their livers after 6 months by RNA sequencing. Overall design: We investigated mice lacking either Mc4r, Ldlr or both and wildtype animals fed with normal chow or a semisynthetic diet with 10 replicates for each of the 8 resulting groups (4 genotypes * 2 diets).
Publication Title
Severe Atherosclerosis and Hypercholesterolemia in Mice Lacking Both the Melanocortin Type 4 Receptor and Low Density Lipoprotein Receptor.
Sample Metadata Fields
Age, Specimen part, Cell line, Subject
View Samples- Macaca mulatta
- 19 Downloadable Samples
- Affymetrix Rhesus Macaque Genome Array (rhesus)
Description
Experiments were designed to evaluate changes in the transcriptome (mRNA levels) in the ovulatory, luteinizing follicle of rhesus monkeys, using a controlled ovulation (COv) model that permits analysis of the naturally selected, dominant follicle at specific intervals (0, 12, 24, 36 hours) after exposure to an ovulatory (exogenous hCG) stimulus during the menstrual cycle. Total RNA was prepared from individual follicles (n=4-8/timepoint), with an aliquot used for microarray analysis (AffymetrixTM Rhesus Macaque Genome Array) and the remainder applied to quantitative real-time PCR (q-PCR) assays. The microarray data from individual samples distinctly clustered according to timepoints, and ovulated follicles displayed markedly different expression patterns from unruptured follicles at 36 h. Between timepoint comparisons revealed profound changes in mRNA expression profiles. The dynamic pattern of mRNA expression for steroidogenic enzymes (CYP17A, CYP19A, HSD3B2, HSD11B1, HSD11B2), StAR, and gonadotropin receptors (LHCGR, FSHR) as determined by microarray analysis correlated precisely with those from blinded q-PCR assays. Patterns of mRNA expression for EGF-like factors (AREG, EREG) and processes (HAS2, TNFAIP6) implicated in cumulus-oocyte maturation/expansion were also comparable between assays. Thus, several mRNAs displayed the expected expression pattern for purported theca (e.g., CYP17A, AREG), granulosa (CYP19A, FSHR), cumulus (HAS2, TNFAIP6) cell, and surface epithelium (HSD11B) related genes in the rodent/primate preovulatory follicle. This database will be of great value in analyzing molecular and cellular pathways associated with periovulatory events in the primate follicle (e.g. follicle rupture, luteinization, inflammatory response, and angiogenesis), and for identifying novel gene products controlling mammalian fertility.
Publication Title
Dynamics of the transcriptome in the primate ovulatory follicle.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 7 Downloadable Samples
- NextSeq 500
Description
The oncofetal mRNA-binding protein IGF2BP1 and the transcriptional regulator SRF modulate gene expression in cancer. In cancer cells, we demonstrate that IGF2BP1 promotes the expression of SRF in a conserved and N6-methyladenosine (m6A) dependent manner by impairing the miRNA-directed decay of the SRF mRNA. This results in enhanced SRF-dependent transcriptional activity and promotes tumor cell growth and invasion. At the post-transcriptional level, IGF2BP1 sustains the expression of various SRF-target genes. The majority of these SRF/IGF2BP1-enhanced genes, including PDLIM7 and FOXK1, shows conserved upregulation with SRF and IGF2BP1 synthesis in cancer. PDLIM7 and FOXK1 promote tumor cell growth and were reported to enhance cell invasion. Consistently, 35 SRF/IGF2BP1-dependent genes showing conserved association with SRF and IGF2BP1 expression indicate a poor overall survival probability in ovarian, liver and lung cancer. In conclusion, these findings identify the SRF/IGF2BP1-, miRNome- and m6A-dependent control of gene expression as a conserved oncogenic driver network in cancer. Overall design: total RNA-Seq of Huh-7 cells transfected with either control siRNAs (siC) or siRNAs directed against IGF2BP1.
Publication Title
IGF2BP1 promotes SRF-dependent transcription in cancer in a m6A- and miRNA-dependent manner.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 51 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background Published multi-gene classifiers suggested outcome prediction for patients with stage UICC II colon cancer based on different gene expression signatures. However, there is currently no translation of these classifiers for application in routine diagnostic. Therefore, we aimed at validating own and published gene expression signatures employing methods which enable RNA and protein detection in routine diagnostic specimens. Results Immunohistochemistry was applied to 68 stage UICC II colon cancers to determine the protein expression of five selected previously published classifier genes (CDH17, LAT, CA2, EMR3, and TNFRSF11A). Correlation of protein expression data with clinical outcome within a 5-year post-surgery course failed to separate patients with a disease-free follow-up [Group DF] and relapse [Group R]). In addition, RNA from macrodissected tumor samples from 53 of these 68 patients was profiled on Affymetrix GeneChips (HG-U133 Plus 2.0). Prognostic signatures were generated by Nearest Shrunken Centroids with cross-validation. Although gene expression profiling allowed the identification of differentially expressed genes between the groups DF and R, a stable classification and prognosis signature was not discernable in our data. Furthermore, the application of previously published gene signatures consisting of 22 and 19 genes, respectively, to our gene expression data set using global tests and leave-one-out cross-validation was unable to predict clinical outcome (prediction rate 75.5% and 64.2%; n.s.). T-stage was the only independent prognostic factor for relapse in multivariate analysis with established clinical and pathological parameters including microsatellite status. Conclusions Our protein and gene expression analyses currently do not support application of molecular classifiers for prediction of clinical outcome in routine diagnostic as a basis for patient-orientated therapy in stage UICC II colon cancer. Further studies are needed to develop prognosis signatures applicable in patient care.
Publication Title
Molecular profiles and clinical outcome of stage UICC II colon cancer patients.
Sample Metadata Fields
Sex
View Samples