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GSE43145
Mus musculus
10 Downloadable Samples
Description
Gan mice express Wnt1, Ptgs2, and Ptges, which develop inflammation-associated gastric tumors (Oshima et al, Gastroenterology 131: 1086, 2006). We examined the role of TNF-alpha in tumorigenesis by construction of TNF-/- Gan mice. We also examined genetic background difference in tumor phenotype by changing Gan mouse background from C57BL/6(B6) to BALB/c.
Publication Title
No associated publication
Alternate Accession IDs
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 12 Downloadable Samples
Description
Optimal treatment for nonalcoholic steatohepatitis (NASH) has not yet been established, particularly for individuals without diabetes.
Publication Title
Metformin prevents and reverses inflammation in a non-diabetic mouse model of nonalcoholic steatohepatitis.
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Specimen part
View Samples- Mus musculus
- 6 Downloadable Samples
Description
BackgroundAcute coronary syndrome (ACS) is sometimes accompanied by accelerated coagulability, lipid metabolism, and inflammatory responses, which are not attributable to the cardiac events alone. We hypothesized that the liver plays a pivotal role in the pathophysiology of ACS. We simultaneously analyzed the gene expression profiles of the liver and heart during acute myocardial ischemia in mice.
Publication Title
No associated publication
Alternate Accession IDs
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 54 Downloadable Samples
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Exploiting microRNA and mRNA profiles generated in vitro from carcinogen-exposed primary mouse hepatocytes for predicting in vivo genotoxicity and carcinogenicity.
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Sample Metadata Fields
Specimen part, Compound
View Samples- Mus musculus, Homo sapiens
- 94 Downloadable Samples
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Integrating factor analysis and a transgenic mouse model to reveal a peripheral blood predictor of breast tumors.
Alternate Accession IDs
Sample Metadata Fields
Specimen part
View Samples- Mus musculus, Homo sapiens
- 231 Downloadable Samples
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Experimentally derived metastasis gene expression profile predicts recurrence and death in patients with colon cancer.
Alternate Accession IDs
Sample Metadata Fields
Sex, Age, Disease stage, Race
View Samples- Mus musculus
- 54 Downloadable Samples
Description
The well-defined battery of in vitro systems applied within chemical cancer risk assessment is often characterised by a high false-positive rate, thus repeatedly failing to correctly predict the in vivo genotoxic and carcinogenic properties of test compounds. Toxicogenomics, i.e. mRNA-profiling, has been proven successful in improving the prediction of genotoxicity in vivo and the understanding of underlying mechanisms. Recently, microRNAs have been discovered as post-transcriptional regulators of mRNAs. It is thus hypothesised that using microRNA response-patterns may further improve current prediction methods. This study aimed at predicting genotoxicity and non-genotoxic carcinogenicity in vivo, by comparing microRNA- and mRNA-based profiles, using a frequently applied in vitro liver model and exposing this to a range of well-chosen prototypical carcinogens. Primary mouse hepatocytes (PMH) were treated for 24 and 48h with 21 chemical compounds [genotoxins (GTX) vs. non-genotoxins (NGTX) and non-genotoxic carcinogens (NGTX-C) versus non-carcinogens (NC)]. MicroRNA and mRNA expression changes were analysed by means of Exiqon and Affymetrix microarray-platforms, respectively. Classification was performed by using Prediction Analysis for Microarrays (PAM). Compounds were randomly assigned to training and validation sets (repeated 10 times). Before prediction analysis, pre-selection of microRNAs and mRNAs was performed by using a leave-one-out t-test. No microRNAs could be identified that accurately predicted genotoxicity or non-genotoxic carcinogenicity in vivo. However, mRNAs could be detected which appeared reliable in predicting genotoxicity in vivo after 24h (7 genes) and 48h (2 genes) of exposure (accuracy: 90% and 93%, sensitivity: 65% and 75%, specificity: 100% and 100%). Tributylinoxide and para-Cresidine were misclassified. Also, mRNAs were identified capable of classifying NGTX-C after 24h (5 genes) as well as after 48h (3 genes) of treatment (accuracy: 78% and 88%, sensitivity: 83% and 83%, specificity: 75% and 93%). Wy-14,643, phenobarbital and ampicillin trihydrate were misclassified. We conclude that genotoxicity and non-genotoxic carcinogenicity probably cannot be accurately predicted based on microRNA profiles. Overall, transcript-based prediction analyses appeared to clearly outperform microRNA-based analyses.
Publication Title
Exploiting microRNA and mRNA profiles generated in vitro from carcinogen-exposed primary mouse hepatocytes for predicting in vivo genotoxicity and carcinogenicity.
Alternate Accession IDs
Sample Metadata Fields
Specimen part, Compound
View Samples- Mus musculus
- 57 Downloadable Samples
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Evaluating microRNA profiles reveals discriminative responses following genotoxic or non-genotoxic carcinogen exposure in primary mouse hepatocytes.
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Sample Metadata Fields
Specimen part, Compound
View Samples- Mus musculus
- 106 Downloadable Samples
Description
Specification of germ cell fate is fundamental in development. With a highly representative single-cell microarray and rigorous quantitative-PCR analysis, we defined the genome-wide transcription dynamics that create primordial germ cells (PGCs) from the epiblast, a process that exclusively segregates them from their somatic neighbors. We also analyzed the effect of the loss of Blimp1, a key transcriptional regulator, on these dynamics. Our analysis revealed that PGC specification involves complex, yet highly ordered regulation of a large number of genes, proceeding under the strong influence of mesoderm induction with active repression of specific programs such as epithelial-mesenchymal transition, Hox gene activation, cell-cycle progression and DNA methyltransferase machinery. Remarkably, Blimp1 is essential for repressing nearly all the genes normally down-regulated in PGCs relative to their somatic neighbors, whereas it is dispensable for the activation of approximately half of the genes up-regulated in PGCs.
Publication Title
No associated publication
Alternate Accession IDs
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 1 Downloadable Sample
Description
Gene expression profiling using microarray has been limited to profiling of differentially expressed genes at comparison setting since probesets for different genes have different sensitivities. We overcome this limitation by using a very large number of varied microarray datasets as a common reference, so that statistical attributes of each probeset, such as dynamic range or a threshold between low and high expression can be reliably discovered through meta-analysis. This strategy is implemented in web-based platform named Gene Expression Commons (http://gexc.stanford.edu/ ) with datasets of 39 distinct highly purified mouse hematopoietic stem/progenitor/functional cell populations covering almost the entire hematopoietic system. Since the Gene Expression Commons is designed as an open platform, any scientist can explore gene expression of any gene, search by expression pattern of interest, submit their own microarray datasets, and design their own working models.
Publication Title
Gene Expression Commons: an open platform for absolute gene expression profiling.
Alternate Accession IDs
Sample Metadata Fields
Sex, Age
View Samples