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GSE75802
Homo sapiens
22 Downloadable Samples
Illumina HumanHT-12 V4.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 12 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Experiment 1 - miR-155 and miR-199 Phenotype
Publication Title
Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 10 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Experiment 2 - MiRNA mimics have a length and passenger strand specific effect
Publication Title
Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner.
Sample Metadata Fields
Cell line
View Samples- Caenorhabditis elegans
- 217 Downloadable Samples
Illumina HiSeq 2500
Description
A prevalent hypothesis for the cell-to-cell coordination of the phenomena of early development is that a defined mixture of different mRNA species at specific abundances in each cell determines fate and behavior. With this dataset we explore this hypothesis by quantifying the abundance of every mRNA species in every individual cell of the early C. elegans embryo, for which the exact life history and fate is precisely documented. Overall design: Embryos of the 1-, 2-, 4-, 8- and 16-cell stage were dissected into complete sets of single cells, and each cell from each set was sequenced individually using SMARTer technology. 5-9 replicates were generated for each stage. Most cell identities were unknown upon sequencing, but were deduced from by their transcriptomes post hoc.
Publication Title
A Transcriptional Lineage of the Early C. elegans Embryo.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
In order to obtain a global picture regarding regulation of p53 in liver cells we used HepG2 hepatoma cells.We created two isogenic sub-cultures of HepG2 cells with altered expression of p53.
Publication Title
Chemotherapeutic agents induce the expression and activity of their clearing enzyme CYP3A4 by activating p53.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 29 Downloadable Samples
- Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
Effect of the overexpression of the oncogenic form of the Vav2 protein in the NIH3T3 cell line under serum deprivation conditions. oncovav2-transformed NIH3T3 cells grown in serum-deprived medium (Vav2SD) are compared to the parental NIH3T3 controls under the same growth conditions (ContSD). Vav2SD cells are also compared to the oncovav2-transformed NIH3T3 cells growing exponentially and the NIH3T3 growing exponentially.
Publication Title
Microarray analysis of gene expression with age in individual nematodes.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Recently, a frequent chromosomal aberration fusing Androgen regulated TMPRSS2 promoter and the ERG gene (T/ERG) was discovered in prostate cancer. Several studies demonstrated cooperation between the T/ERG and other defective pathways in cancer progression however, the biological mechanism by which the T/ERG operates is yet to be determined. Using immortalized prostate epithelial cells (EP) model we were able to show that EP with the combination of androgen receptor(AR) and T/ERG(EP-AR T/ERG cell line) demonstrate an Epithelial to Mesenchymal Transition (EMT) manifested by a mesenchyme-like morphological appearance and behavior.
Publication Title
TMPRSS2/ERG promotes epithelial to mesenchymal transition through the ZEB1/ZEB2 axis in a prostate cancer model.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Rattus norvegicus
- 43 Downloadable Samples
- Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
The effect of drugs, disease and other perturbations on mRNA levels are studied using gene expression microarrays or RNA-seq, with the goal of understanding molecular effects arising from the perturbation. Previous comparisons of reproducibility across laboratories have been limited in scale and focused on a single model. The use of model systems, such as cultured primary cells or cancer cell lines, assumes that mechanistic insights derived with would have been observed via in vivo studies. We examined the concordance of compound-induced transcriptional changes using data from several sources: rat liver and rat primary hepatocytes (RPH) from Drug Matrix (DM) and open TG-GATEs (TG), primary human hepatocytes (HPH) from TG, and mouse liver / HepG2 results from the Gene Expression Omnibus (GEO) repository. Gene expression changes for treatments were normalized to controls and analyzed with three methods: 1) gene level for 9071 high expression genes in rat liver, 2) gene set analysis (GSA) using canonical pathways and gene ontology sets, 3) weighted gene co-expression network analysis (WGCNA). Co-expression networks performed better than genes or GSA on a quantitative metric when comparing treatment effects within rat liver and rat vs. mouse liver. Genes and modules performed similarly at Connectivity Map-style analyses, where success at identifying similar treatments among a collection of reference profiles is the goal. Comparisons between rat liver and RPH, and those between RPH, HPH and HepG2 cells reveal low concordance for all methods. We investigate differences in the baseline state of cultured cells in the context of drug-induced perturbations in rat liver and highlight the striking similarity between toxicant-exposed cells in vivo and untreated cells in vitro.
Publication Title
Assessing Concordance of Drug-Induced Transcriptional Response in Rodent Liver and Cultured Hepatocytes.
Sample Metadata Fields
Sex, Specimen part
View Samples- Arabidopsis thaliana
- 10 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Leaf development has been monitored chiefly by following anatomical markers. Analysis of transcriptome dynamics during leaf maturation revealed multiple expression patterns that rise or fall with age or that display age specific peaks. These were used to formulate a digital differentiation index (DDI), based on a set of selected markers with informative expression during leaf ontogeny. The leaf-based DDI reliably predicted the developmental state of leaf samples from diverse sources and was independent of mitotic cell division transcripts or propensity of the specific cell type. When calibrated by informative root markers, the same algorithm accurately diagnosed dissected root samples. We used the DDI to characterize plants with reduced activities of multiple CINCINNATA (CIN)-TCP growth regulators. These plants had giant curled leaves made up of small cells with abnormal shape, low DDI scores and low expression of mitosis markers, depicting the primary role of CIN-TCPs as promoters of differentiation. Delayed activity of several CIN-TCPs resulted in abnormally large but flat leaves with regular cells. The application of DDI has therefore portrayed the CIN-TCPs as heterochronic regulators that permit the development of a flexible and robust leaf form through an ordered and protracted maturation schedule.
Publication Title
A protracted and dynamic maturation schedule underlies Arabidopsis leaf development.
Sample Metadata Fields
No sample metadata fields
View Samples- Arabidopsis thaliana
- 8 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Leaf development has been monitored chiefly by following anatomical markers. Analysis of transcriptome dynamics during leaf maturation revealed multiple expression patterns that rise or fall with age or that display age specific peaks. These were used to formulate a digital differentiation index (DDI), based on a set of selected markers with informative expression during leaf ontogeny. The leaf-based DDI reliably predicted the developmental state of leaf samples from diverse sources and was independent of mitotic cell division transcripts or propensity of the specific cell type. To calibrate and test the DDI a series of Arabidopsis shoot development was used (Efroni et al, 2008)
Publication Title
A protracted and dynamic maturation schedule underlies Arabidopsis leaf development.
Sample Metadata Fields
No sample metadata fields
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