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SRP070155
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- Mus musculus
- 14 Downloadable Samples
Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
Expression profiling of thymic lymphomas derived from HIF1a+/+, p53R270H/R270H; HIF1a+/-, p53R270H/R270H; and HIF1aKI/+, p53R270H/R270H mice.
Publication Title
Heterozygosity for hypoxia inducible factor 1alpha decreases the incidence of thymic lymphomas in a p53 mutant mouse model.
Sample Metadata Fields
Age
View Samples- Mus musculus
- 65 Downloadable Samples
- NextSeq 500
Description
SUMMARY: This article presents a predictive molecular signature that marks the early onset of fibrosis in a translational nonalcoholic steatohepatitis mouse model. Overlap of genes and processes with human nonalcoholic steatohepatitis and a list of top candidate biomarkers for early fibrosis are described. BACKGROUND & AIMS: The incidence of nonalcoholic steatohepatitis (NASH) is increasing. The pathophysiological mechanisms of NASH and the sequence of events leading to hepatic fibrosis are incompletely understood. The aim of this study was to gain insight into the dynamics of key molecular processes involved in NASH and to rank early markers for hepatic fibrosis. METHODS: A time-course study in low-density lipoprotein–receptor knockout. Leiden mice on a high-fat diet was performed to identify the temporal dynamics of key processes contributing to NASH and fibrosis. An integrative systems biology approach was used to elucidate candidate markers linked to the active fibrosis process by combining transcriptomics, dynamic proteomics, and histopathology. The translational value of these findings were confirmed using human NASH data sets. RESULTS: High-fat-diet feeding resulted in obesity, hyperlipidemia, insulin resistance, and NASH with fibrosis in a time-dependent manner. Temporal dynamics of key molecular processes involved in the development of NASH were identified, including lipid metabolism, inflammation, oxidative stress, and fibrosis. A data-integrative approach enabled identification of the active fibrotic process preceding histopathologic detection using a novel molecular fibrosis signature. Human studies were used to identify overlap of genes and processes and to perform a network biology-based prioritization to rank top candidate markers representing the early manifestation of fibrosis. CONCLUSIONS: An early predictive molecular signature was identified that marked the active profibrotic process before histopathologic fibrosis becomes manifest. Early detection of the onset of NASH and fibrosis enables identification of novel blood-based biomarkers to stratify patients at risk, development of new therapeutics, and help shorten (pre)clinical experimental time frames. Keywords: Systems Biology; Metabolic Syndrome; Liver Disease; Diagnosis. Overall design: In total 9 treatment groups: 5 Control groups (chow = standard diet; t=0, 6, 12, 18, 24 weeks), 4 Treatment groups (HFD = High Fat diet; 6, 12, 18, 24 weeks).
Publication Title
Uncovering a Predictive Molecular Signature for the Onset of NASH-Related Fibrosis in a Translational NASH Mouse Model.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 222 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Gene expression profile in circulating leukocytes identifies patients with coronary artery disease
Publication Title
Gene expression patterns in peripheral blood correlate with the extent of coronary artery disease.
Sample Metadata Fields
Sex, Age, Specimen part, Race
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- Homo sapiens
- 119 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
The rates of obesity and sedentary lifestyle are on a dramatic incline, with associated detrimental health effects among women in particular. Although exercise prescriptions are useful for overcoming these problems, success can be hampered by differential responsiveness among individuals in cardiovascular fitness indices (i.e., improvements in strength, lipids, VO2max). Genetic factors appear to play an important role in determining this inter-individual variation in responsiveness. We performed microarray analyses on mRNA in whole blood from 60 sedentary women from a multi-ethnic cohort who underwent 12 weeks of exercise, to identify gene subsets that were differentially expressed between individuals who experienced the greatest and least improvements in fitness based upon a composite fitness score index. We identified 43 transcripts in 39 unique genes (FDR<10%; FC>1.5) whose expression increased the most in high versus low premenopausal female responders. Several (TIGD7, UQCRH, PSMA6, WDR12, TFB2M, USP15) have reported associations with fitness-related phenotypes. Bioinformatic analysis of the 39 genes identified 4 miRNAs whose expression has been linked to cardiovascular diseases (ANKRD22: miR-637, LRRFIP1: miR-132, PRKAR2B: miR-92a, RSAD2:miR-192). These 39 genes were enriched in 6 biological pathways, including the oxidative phosphorylation pathway (p=8.08 x 10-3). Two genes, LRRFIP1 and SNORD30, were also identified with lower expression in high responding postmenopausal women. In summary, we identified gene signatures based on mRNA analysis that define responsiveness to exercise in a largely minority-based female cohort. Importantly, this study validates several genes/pathways previously associated with exercise responsiveness and extends these findings with additional novel genes.
Publication Title
Genomic signatures of a global fitness index in a multi-ethnic cohort of women.
Sample Metadata Fields
Sex, Race, Time
View Samples- Homo sapiens
- 15 Downloadable Samples
- NextSeq 500
Description
To understand the biological mechanism of ELL2 in multiple myeloma (MM), we show that the MM risk allele lowers ELL2 expression in CD138+ plasma cells (Pcombined=2.5×10-27; bcombined=-0.24 s.d.), but not in peripheral blood or other tissues. Consistent with this, several variants representing the MM risk allele map to regulatory genomic regions, and three yield reduced transcriptional activity in plasmocytoma cell lines. One of these (rs3777189-C) co-locates with the best-supported lead variants for ELL2 expression and MM risk, and reduces binding of MAFF/G/K family transcription factors. Moreover, further analysis reveals that the MM risk allele associates with upregulation of gene sets related to ribosome biogenesis, and knockout/knockdown and rescue experiments in plasmocytoma cell lines support a cause-effect relationship. Overall design: Reconstitution of ELL2 expression in L363-ELL2-knockout cells
Publication Title
The multiple myeloma risk allele at 5q15 lowers ELL2 expression and increases ribosomal gene expression.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Cell line, Treatment, Subject
View Samples- Homo sapiens
- 6 Downloadable Samples
- NextSeq 500
Description
To understand the biological mechanism of ELL2 in multiple myeloma (MM), we show that the MM risk allele lowers ELL2 expression in CD138+ plasma cells (Pcombined=2.5×10-27; bcombined=-0.24 s.d.), but not in peripheral blood or other tissues. Consistent with this, several variants representing the MM risk allele map to regulatory genomic regions, and three yield reduced transcriptional activity in plasmocytoma cell lines. One of these (rs3777189-C) co-locates with the best-supported lead variants for ELL2 expression and MM risk, and reduces binding of MAFF/G/K family transcription factors. Moreover, further analysis reveals that the MM risk allele associates with upregulation of gene sets related to ribosome biogenesis, and knockout/knockdown and rescue experiments in plasmocytoma cell lines support a cause-effect relationship. Overall design: knock out ELL2 in L363 cells using CRISPR-Cas9
Publication Title
The multiple myeloma risk allele at 5q15 lowers ELL2 expression and increases ribosomal gene expression.
Sample Metadata Fields
Disease, Disease stage, Cell line, Subject
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
- 315 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
In order to identify relevant, molecularly defined subgroups in Multiple Myeloma (MM), gene expression profiling (GEP) was performed on purified CD138+ plasma cells of 320 newly diagnosed myeloma patients included in the Dutch-Belgian/German HOVON-65/ GMMG-HD4 trial using Affymetrix GeneChip U133 plus 2.0 arrays. Hierarchical clustering identified 10 distinct subgroups. Using this dataset as training data, a prognostic signature was built. The dataset consists of 282 CEL files previously used in the hierarchical clustering study of Broyl et al (Blood, 116(14):2543-53, 2010) outlined above. To this set 8 CEL-files/gene expression profiles were added. Using this set of 290 CEL-files, a prognostic signature of 92 genes (EMC-92-genesignature) was generated by supervised principal components analysis combined with simulated annealing (Kuiper et al.).
Publication Title
Gene expression profiling for molecular classification of multiple myeloma in newly diagnosed patients.
Sample Metadata Fields
Specimen part
View Samples