RNA-seq analysis was performed between WT and alphaT-cat KO mouse cerebella aiming to discover gene transcripts altered by the loss of alphaT-cat These altered gene transcripts could be associated with several neurologic disease-relevant pathways Overall design: Total RNA extracted of cerebellar tissue (n=3) from the brains of WT ad alphaT-cat KO mice
αT-catenin in restricted brain cell types and its potential connection to autism.
Specimen part, Subject
View SamplesIn order to properly understand whether xenoestrogens act as estrogens, it is essential to possess a solid portrait of the physiological effects of exogenous estradiol. Because the estrogen-dependent gene expression is one of the primary biomarkers of estrogenic action, we have assessed effects of three doses of exogenous estradiol (0.1, 1.0 and 10 g/kg of body weight/day) on the mammary gland morphology and gene expression profiles by microarray analysis of prepubertal male and female rats of both sexes compared to untreated controls. Estradiol was administered subcutaneously with minipumps from weaning at PND21 to the end of the experiment at PND33. The data suggest that the male mammary is a sensitive tissue for estrogenicity assessment.
Mammary gland morphology and gene expression signature of weanling male and female rats following exposure to exogenous estradiol.
Sex
View SamplesPrdm12, a novel key regulator of the Nerve Growth Factor-TrkA signaling pathway, is required for nociceptive sensory neuron development Overall design: RNA-seq analysis in triplcate of the transcriptome of thoracic dorsal root ganglia with associated spinal cord of E11.5 Prdm12 KO and WT embryos.
Prdm12 Directs Nociceptive Sensory Neuron Development by Regulating the Expression of the NGF Receptor TrkA.
Specimen part, Cell line, Subject
View SamplesThe first in vitro tests for developmental toxicity made use of rodent cells. Newer teratology tests, e.g. developed during the ESNATS project, use human cells and measure mechanistic endpoints (such as transcriptome changes). However, the toxicological implications of mechanistic parameters are hard to judge, without functional/morphological endpoints. To address this issue, we developed a new version of the human stem cell-based test STOP-tox(UKN). For this purpose, the capacity of the cells to self-organize to neural rosettes was assessed as functional endpoint: pluripotent stem cells were allowed to differentiate to neuroepithelial cells for six days in the presence or absence of toxicants. Then, both transcriptome changes were measured (standard STOP-tox(UKN)), and cells were allowed to form rosettes. After optimization of staining methods, an imaging algorithm for rosette quantification was implemented and used for an automated rosette formation assay (RoFA). Neural tube toxicants (like valproic acid), which are known to disturb human development at stages when rosette-forming cells are present, were used as positive controls. Established toxicants led to distinctly different tissue organization and differentiation stages. RoFA outcome and transcript changes largely correlated concerning (i) the concentration-dependence, (ii) the time-dependence, and (iii) the set of positive hits identified amongst 24 potential toxicants. Using such comparative data, a prediction model for the RoFA was developed. The comparative analysis was also used to identify gene dysregulations that are particularly predictive for disturbed rosette formation. This ‘RoFA predictor gene set’ may be used for a simplified and less costly setup of the STOP-tox(UKN) assay.
Development of a neural rosette formation assay (RoFA) to identify neurodevelopmental toxicants and to characterize their transcriptome disturbances.
Sex, Specimen part, Cell line, Treatment
View SamplesIncreased miR-135a levels are observed in human patients with temporal lobe Epilepsy (TLE) and in experimental animal models. Upon targeting the increased miR-135a levels in vivo using antagomirs in kainic acid induced status epilepticus mouse model of TLE, we observed a strong reduction of spontaneous recurrent seizures. To understand this further and to find target mRNAs that potentially mediate the seizure suppressive function of miR-135a, we performed immunoprecipitation using biotin tagged miRNA mimics, followed by RNAsequencing (RNAseq). We found several novel neuronal targets of miRNA-135a and identified Mef2a as a key target in this study. Here we report the total RNAseq data. Overall design: N2A cells were transfected with biotin tagged miRNA mimics for miR-135a and negative control and immunoprecipitations were performed. N = 3 replicates of IP and input samples for each condition were generated and sequenced on illumina platform for total RNA for identification of novel targets of miR-135a.
Antagonizing Increased <i>miR-135a</i> Levels at the Chronic Stage of Experimental TLE Reduces Spontaneous Recurrent Seizures.
Cell line, Subject
View SamplesTest systems to identify developmental toxicants are urgently needed. A combination of human stem cell technology and transcriptome analysis was used here to provide proof-of-concept that toxicants with a related mode of action can be identified, and grouped for read-across. We chose a test system of developmental toxicity, related to the generation of neuroectoderm from pluripotent stem cells (UKN1), and exposed cells for six days to benchmark concentration (BMC) of histone deacetylase inhibitors (HDACi) valproic acid, trichostatin-A, vorinostat, belinostat, panobinostat and entinostat. To provide insight into their toxic action, we identified HDACi consensus genes, assigned them to superordinate biological processes, and mapped them to a human transcription factor network constructed from hundreds of transcriptome data sets. We also tested a heterogeneous group of mercurials (methylmercury, thimerosal, mercury(II)chloride, mercury(II)bromide, 4-chloromercuribenzoic acid, phenylmercuric acid) (BMCs). Microarray data were compared at the highest non-cytotoxic concentration for all 12 toxicants. A support vector machine (SVM)-based classifier predicted all HDACi correctly. For validation, the classifier was applied to legacy data sets of HDACi, and for each exposure situation, the SVM predictions correlated with the developmental toxicity. Finally, optimization of the classifier based on 100 probe sets showed that eight genes (F2RL2, TFAP2B, EDNRA, FOXD3, SIX3, MT1E, ETS1, LHX2) are sufficient to separate HDACi from mercurials. Our data demonstrate, how human stem cells and transcriptome analysis can be combined for mechanistic grouping and prediction of toxicants. Extension of this concept to mechanisms beyond HDACi would allow prediction of human developmental toxicity hazard of unknown compounds with the UKN1 test system.
A transcriptome-based classifier to identify developmental toxicants by stem cell testing: design, validation and optimization for histone deacetylase inhibitors.
Sex, Specimen part
View SamplesThe similarity in gene-expression profiles suggest that PGL2, like SDHD, is involved in the functionality of the SDH complex, and that tumor formation in these three subgroups involves the same pathways as in SDH linked paragangliomas. We were not able to clarify the identity of PGL2 on 11q13. The lack of differential gene-expression of chromosome 11 genes might indicate that chromosome 11 loss, as demonstrated in SDHD-linked paragangliomas, is an important feature in the formation of a paraganglioma regardless of the genetic background.
Similar gene expression profiles of sporadic, PGL2-, and SDHD-linked paragangliomas suggest a common pathway to tumorigenesis.
No sample metadata fields
View SamplesGene Expression analysis of a differentiation timeseries of human Mesenchymal Stem Cells (hMSCs) in the presence of adipogenic/osteogenic factors. hMSCs differentiate into fat cells when treated with dexamethasone (10^-6 M), insulin (10 ug/ml), rosiglitazone (10^-7 M) and IBMX (250 uM). TGFbeta (5 ng/ml) inhibits this process and redirects these cells to differentiate into bone cells.
TGFβ-induced switch from adipogenic to osteogenic differentiation of human mesenchymal stem cells: identification of drug targets for prevention of fat cell differentiation.
Specimen part, Treatment, Time
View SamplesBMP treatment induces expression of late differenitation genes in primary human keratinocytes. Overall design: RNA-seq analysis after treatment with EGFR inhibitor AG1478 with or without BMP27 or BMP inhibitor DMH1. each treatment and control was performed in triplicate
Single-Cell ID-seq Reveals Dynamic BMP Pathway Activation Upstream of the MAF/MAFB-Program in Epidermal Differentiation.
Specimen part, Subject
View SamplesRNA from two murine mesothelioma cell lines (AC29 and AB1) was extracted and hybridized to Affymetrix Microarrays to compare gene expression. Both mesothelioma cell lines were established following intraperitoneal introduction of crocidolite (asbestos) fibers (Davis et al. 1992) in CBA mice (AC29 cell line), and BALB/c mice (AB1).
Depletion of Tumor-Associated Macrophages with a CSF-1R Kinase Inhibitor Enhances Antitumor Immunity and Survival Induced by DC Immunotherapy.
Sex
View Samples