Filters
Technology
Platform
GSE89215
Danio rerio
1 Downloadable Sample
Description
Zebrafish is ideal model organism to study myelination and demyelination. We could use this model to screen demylination relative genes and provide a new idea for clinic therapy.
Publication Title
Down-regulation of interleukin 7 receptor (IL-7R) contributes to central nervous system demyelination.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 4 Downloadable Samples
Description
Lactobacillus NK2 (L.NK2) is a commensal microbe, isolated from the mouse intestinal feces in our lab. To examine the potential role of L. NK2 in the gut immunity, we monocolonized GF mice with L.NK2. And, we conducted a microarray experiment to compare the transcriptomes of GF and L.NK2-colonized mice intestines under the same experimental condition
Publication Title
No associated publication
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 4 Downloadable Samples
Description
Myeloid-derived suppressor cells (MDSCs) have emerged as major regulators of immune responses in cancer and other pathological conditions. At the epigenetic level, lncRNA play an important role in cell differentiation and function. We identify a novel long non-coding RNA (lncRNA) termed as lnc-mdsc in MDSCs, which may tightly control the development of MDSCs.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 2 Downloadable Samples
Description
Myeloid-derived suppressor cells (MDSCs) have emerged as major regulators of immune responses in cancer and other pathological conditions. At the epigenetic level, lncRNA play an important role in cell differentiation and function. We identify a novel long non-coding RNA (lncRNA) termed as lnc-mdsc in MDSCs, which may tightly control the development of MDSCs.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 4 Downloadable Samples
Description
The Suppressor of cytokine signaling (SOCS) family of negative regulatory proteins are upregulated in response to several cytokines and pathogen-associated molecular patterns (PAMPs), and suppress cellular signaling responses by binding receptor phosphotyrosine residues. Exposure of bone marrow-derived dendritic cells (BMDCs) to 1D8 cells, a murine model of ovarian carcinoma, suppresses their ability to express CD40 and stimulate antigen specific responses in response to PAMPs, and in particular to poly I: C with the upregulated SOCS3 transcript and protein levels. The ectopic expression of SOCS3 in both the macrophage cell line RAW264.7 and BMDCs decreased signaling in response to both poly I:C and IFN. Further, knockdown of SOCS3 transcripts significantly enhanced the responses of RAW264.7 and BMDCs to both poly I: C and IFN. Immunoprecipitation and pull-down studies demonstrate that SOCS3 binds to the IFN receptor TYK2. Since poly I: C triggers autocrine IFN signaling, binding of SOCS3 to TYK2 may thereby suppress the activation of BMDCs by polyI:C and IFN. Thus, elevated levels of SOCS3 in tumor-associated DCs may potentially resist the signals induced by TLR3 ligands and type I interferon to decrease DC activation via binding with IFN receptor TyK2.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
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- 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.
Sample Metadata Fields
Specimen part, Compound
View Samples