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A Nested Parallel Experiment Demonstrates Differences in Intensity-Dependence Between RNA-Seq and Microarrays

ABSTRACT: We carried out a parallel nested experiment performed simultaneously on RNA-Seq and microarrays that systematically split variation into four stages (treatment, biological variation, library preparation, and chip/lane noise), allowing a separation and comparison of the sources of variation in a well-controlled cellular system, Saccharomyces cerevisiae. Nested design. Two conditions (E for ethanol and G for glucose as sole carbon source), each grown on two biological replicates (1 and 2), prepared in two technical preparations (A and B), then hybridized to two chips (1 and 2) This submission represents microarray component of study.

ORGANISM(S): Saccharomyces cerevisiae

SUBMITTER: David Robinson

PROVIDER: E-GEOD-65365 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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A Nested Parallel Experiment Demonstrates Differences in Intensity-Dependence Between RNA-Seq and Microarrays

Project description:We carried out a parallel nested experiment performed simultaneously on RNA-Seq and microarrays that systematically split variation into four stages (treatment, biological variation, library preparation, and chip/lane noise), allowing a separation and comparison of the sources of variation in a well-controlled cellular system, Saccharomyces cerevisiae.

2015-01-31 | GSE65365 | GEO

Analyzing synergistic and non-synergistic interactions in signalling pathways using Boolean Nested Effect Models

Project description:Understanding the structure and interplay of cellular signalling pathways is one of the great challenges in molecular biology. Boolean Networks can infer signalling networks from observations of protein activation. In situations where it is difficult to assess protein activation directly, Nested Effect Models are an alternative. They derive the network structure indirectly from downstream effects of pathway perturbations. To date, Nested Effect Models cannot resolve signalling details like the formation of signalling complexes or the activation of proteins by multiple alternative input signals. Here we introduce Boolean Nested Effect Models (B-NEM). B-NEMs combine the use of downstream effects with the higher resolution of signalling pathway structures in Boolean Networks. We show that B-NEMs accurately reconstruct signal flows in simulated data. Using B-NEM we then resolve BCR signalling via PI3K and TAK1 kinases in BL2 lymphoma cell lines.

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Analyzing synergistic and non-synergistic interactions in signalling pathways using Boolean Nested Effect Models

2015-12-10 | E-GEOD-68761 | biostudies-arrayexpress

A nested case-control study to investigate drivers for metastatic disease in breast cancer

Project description:The purpose of this study was to improve prediction of patients at high-risk for metastatic disease utilizing a nested case-control design that uniquely enables enrichment for relevant phenotypes. We identified all women diagnosed with primary breast cancer from January 1, 1997, to December 31, 2005, in the Stockholm health care region. Patients developing distant metastatic disease (cases) were selected and controls (free from distant disease) were randomly matched by adjuvant therapy, age and calendar period at diagnosis. The nested case-control study included 768 study subjects with clinical information and gene expression arrays (Human Cancer G110). Study subjects were randomly and equally divided into training set (discovery) or testing (validation) set. Metastatic onset prediction was then compared including either clinical variables only or combining clinical and genetic information. Differentially expressed genes and pathways between cases and controls included a wide-spectrum of well known as well as candidate regulators of the metastatic cascade. The nested case-control study included 768 study subjects corresponding to 623 primary tumor samples. Details concerning case-control status are given in the samples section. Each case and its' matching controls form risk sets, indicated by the setnr variable.

2014-11-03 | E-GEOD-48091 | biostudies-arrayexpress

Telomere behavior in a hybrid yeast

Project description:Telomeres and the protein/RNA complexes involved in maintaining them are rapidly evolving systems across eukaryotes. Using two Saccharomyces species, S. cerevisiae and S. bayanus, we provide evidence that the telomere systems of these two closely related yeasts have evolved significantly apart and that the gene in one species can not maintain the set-point of telomere length of the other species in the hybrid. Each array has co-hybridized RNA vs DNA for the indicated species (BB9=S. bayanus, CC5=S. cerevisiae) or hybrid (BC11). The cultures for RNA preparation were grown to midlog phase at the indicated temperature.

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A nested case-control study to investigate drivers for metastatic disease in breast cancer

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Transcriptional consequences of aneuploidy

Project description:Aneuploidy, or an aberrant karyotype, results in developmental disabilities and has been implicated in tumorigenesis. However, the causes of aneuploidy-induced phenotypes and the consequences of aneuploidy on cell physiology remain poorly understood. We have performed a meta-analysis on gene expression data from aneuploid cells in diverse organisms, including yeast, plants, mice, and humans. We found highly-related gene expression patterns that are conserved between species: genes that were involved in the response to stress were consistently upregulated, while genes associated with the cell cycle and cell proliferation were downregulated in aneuploid cells. Within species, different aneuploidies induced similar changes in gene expression, independent of the specific chromosomal aberrations. Taken together, our results demonstrate that aneuploidies of different chromosomes and in different organisms impact similar cellular pathways and cause a stereotypical anti-proliferative response that must be overcome prior to transformation. These experiments are two-color hybridizations of RNA isolated from aneuploid samples vs matched wt cells, all grown to midlog phase.

2012-06-28 | E-GEOD-35853 | biostudies-arrayexpress

RNA-seq samples of ten tissues for each of the 25 genomes of the Nested Associated Mapping (NAM) maize sequencing project

Project description:These RNA-seq samples represent ten different tissue types within a diverse Nested Association Mapping (NAM) maize population that has been sequenced by the NAM Consortium Group. These samples correspond to project IDs PRJEB31061.

2020-01-12 | E-MTAB-8633 | biostudies-arrayexpress

Identification of Aneuploidy-tolerating Mutations

Project description:Aneuploidy causes a proliferative disadvantage in all cells analyzed to date, yet this condition is associated with a disease characterized by unabated proliferative potential, cancer. The mechanisms that allow cancer cells to tolerate the adverse effects of aneuploidy are not known. To probe this question, we identified aneuploid yeast strains with high proliferative abilities and characterized their genetic alterations. We found both strain-specific genetic alterations and mutations shared between different aneuploid strains. One such mutation, a loss of function mutation in the gene encoding the deubiquitinating enzyme UBP6, improves growth rates in four different aneuploid yeast strains. Our data further suggest that deletion of UBP6 attenuates the effects of aneuploidy on cellular protein composition. Our results demonstrate the existence of aneuploidy-tolerating mutations that improve the fitness of multiple different aneuploidies and highlight the importance of ubiquitin-proteasomal degradation in suppressing the adverse effects of aneuploidy. This dataset contains both expression analysis and CGH of yeast strains bearing extra chromosomes. In all cases, the wt euploid strain grown under the same conditions was used as the reference sample. Reference nucleic acid was generally labeled with Cy3, though some were labeled with Cy5 as indicated in the associated annotations for each array. No replicate arrays are included. Expression Samples: GSM513249-GSM513277 CGH Samples: GSM513278-GSM513369

2010-02-24 | E-GEOD-20464 | biostudies-arrayexpress

Experimental identification of small non-coding RNAs in the model marine bacterium Ruegeria pomeroyi DSS-3

Project description:In oligotrophic ocean waters where bacteria are often subjected to chronic nutrient limitation, community transcriptome sequencing has pointed to the presence of highly abundant small RNAs (sRNAs). The role of sRNAs in regulating response to nutrient stress was investigated in a model heterotrophic marine bacterium Ruegeria pomeroyi grown in continuous culture under carbon and nitrogen limitation. RNAseq analysis identified 98 sRNAs, of which 69 were cis-encoded and located antisense to their target genes, and 30 were trans-encoded and linked to predicted target genes through complementarity analysis. The most prevalent functional roles of target genes were transport, cell-cell interactions, signal transduction, and transcriptional regulation. Thirty-two percent of the sRNAs had been identified in a previous study of R. pomeroyi growth on organic sulfur compounds, and may be constitutively expressed, while 69% were not identified in previous studies. Eighty-six percent and were transcribed equally under both carbon and nutrient limitation, and may be involved in a general stress response; 14% were differentially regulated under carbon versus nitrogen stress, and may respond to specific nutrient limitations. A network analysis of the predicted target genes of the R. pomeroyi sRNAs indicated that they average fewer connections than typical protein-encoding genes, and appear to be more important in peripheral or niche-defining functions encoded in the pan genome rather than central metabolism encoded in the core genome.

2016-02-27 | E-MTAB-4468 | biostudies-arrayexpress

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