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Mus musculus
12 Downloadable Samples
Description
The ZMYM2-FGFR1 (formerly known as ZNF198-FGFR1) fusion kinase induces stem cell leukemia-lymphoma syndrome (SCLL), a hematological malignancy characterized by rapid transformation to acute myeloid leukemia and T-lymphoblastic lymphoma.
Publication Title
Constitutive Notch pathway activation in murine ZMYM2-FGFR1-induced T-cell lymphomas associated with atypical myeloproliferative disease.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Cell line
View Samples- Mus musculus
- 12 Downloadable Samples
Description
A transcriptomic expression comparison was done among superior cervical ganglion (SCG) cells cultured on 2D substrates, 3D porous polystyrene scaffolds, and in freshly dissected tissue (in vivo surrogate), with the goal of assessing the feasibility of establishing the meaning of 3D and associated physiological relevance at the molecular level
Publication Title
No associated publication
Sample Metadata Fields
Age, Specimen part
View Samples- Mus musculus
- 22 Downloadable Samples
Description
A common method used both in vitro and in vivo, to identify Tregs in CD4+ T cells is through the characterization of surface marker CD25. Although CD25 expression is well correlated with regulatory activity in vitro, CD4+CD25+ T cells are not the only regulatory CD4+ T cells in vivo. Studies suggest that in many situations, CD4+CD25 T cells are as effective as CD4+CD25+ T cells in controlling T cell mediated disease. Therefore, CD25 is not a uniquely specific cell surface marker for the identification of Tregs. CD49f is an 6-integrin subunit which dimerizes with either the 1 or 4 subunit to form receptors for various laminin isoforms. We found that CD4+ T cells from NOD mice express CD49f, and old non-diabetic NOD mice had an increase of CD4+CD49f+ T cells in the spleen and peripheral lymph node when compared to both young and diabetic mice.
Publication Title
No associated publication
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 12 Downloadable Samples
Description
CD8+ NKT cells are naturally occurring but rare T cells that express both T cell and natural killer (NK) cell markers. These cells may play key roles in establishing tolerance to self antigens; however, the mechanism of action and the molecular profiles of these cells are poorly characterized due to their extremely low frequencies. We developed a highly efficient in vitro conversion/expansion protocol for such cells and extensively characterized their functional and molecular phenotypes using a variety of genomic and immunological techniques.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 12 Downloadable Samples
Description
Gene expression profiles were compared between regulatory T cells (Treg) and Effector CD4+ T cells in healthy B6 mice and sick mice with scurfy mutation.
Publication Title
No associated publication
Sample Metadata Fields
Sex, Specimen part
View Samples
GSE28130- Mus musculus
- 4 Downloadable Samples
Description
Induced and activated regulatory CD4+ Foxp3+ cells compared
Publication Title
Connexin 43 signaling enhances the generation of Foxp3+ regulatory T cells.
Sample Metadata Fields
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.
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.
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.
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.
Sample Metadata Fields
Specimen part, Compound
View Samples