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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
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GSE57463- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
SOX9 is generally not expressed in melanomas with a high proliferative capacity but is expressed in melanomas with a high invasive capacity. Here we overexpress full length SOX9 in M010817, a melanoma cell culture with high proliferative capacity but low invasive capacity.
Publication Title
Methylation-dependent SOX9 expression mediates invasion in human melanoma cells and is a negative prognostic factor in advanced melanoma.
Sample Metadata Fields
Specimen part, 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- Mus musculus
- 12 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
Each cell type responds uniquely to stress and fractionally contributes to global and tissue-specific stress responses. Hepatocytes, liver macrophages (M), and sinusoidal endothelial cells (SEC) play functionally important and interdependent roles in adaptive processes such as wound healing, obesity, and tumor growth. Although these cell types demonstrate significant phenotypic and functional heterogeneity, their distinctions enabling disease-specific responses remain understudied. To address this, we developed a strategy for simultaneous isolation and quantification of these liver cell types based on antigenic cell surface marker expression in response to DEN and found that while there was only a marginal increase in hepatocyte number, M and SEC populations were quantitatively increased. Global gene expression profiling of hepatocytes, M and SEC identified characteristic gene fingerprints that define each cell type and their distinct physiological or oncogenic stress signatures. Integration of these cell-specific gene fingerprints with available hepatocellular carcinoma (HCC) patient microarray data demonstrates that the hepatocyte-specific response strongly correlates with the human HCC gene expression profile. Liver-specific M and SEC gene signatures demonstrate significant alterations in inflammatory and angiogenic gene regulatory pathways, which may impact the hepatocyte response to oncogenic stress. Further validation confirms alterations in components of two key pathways, AP-1 and p53, that have been previously associated with HCC onset and progression. Our data reveal unique gene expression patterns that serve as molecular fingerprints for the cell-centric responses to pathologic stimuli in the distinct microenvironment of the liver. The technical advance highlighted in this study provides an essential resource for assessing hepatic cell-specific contributions to oncogenic stress, information that could unveil previously unappreciated molecular mechanisms for the cellular crosstalk that underlies the development of hepatic cancer.
Publication Title
Deciphering hepatocellular responses to metabolic and oncogenic stress.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 14 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st), Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Distinct signal transduction pathways downstream of the (P)RR revealed by microarray and ChIP-chip analyses.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Within the overall project, we performed a set of microarray and chromatin-immunoprecipitation (ChIP)-chip experiments using siRNA against the (pro)renin receptor ((P)RR), stable overexpression of PLZF, the PLZF translocation inhibitor genistein and the specific V-ATPase inhibitor bafilomycin to dissect transcriptional pathways downstream of the (P)RR.
Publication Title
Distinct signal transduction pathways downstream of the (P)RR revealed by microarray and ChIP-chip analyses.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Within the overall project, we performed a set of microarray and chromatin-immunoprecipitation (ChIP)-chip experiments using siRNA against the (pro)renin receptor ((P)RR), stable overexpression of PLZF, the PLZF translocation inhibitor genistein and the specific V-ATPase inhibitor bafilomycin to dissect transcriptional pathways downstream of the (P)RR.
Publication Title
Distinct signal transduction pathways downstream of the (P)RR revealed by microarray and ChIP-chip analyses.
Sample Metadata Fields
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