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Dynamics of two oscillation phenotypes in S. cerevisiae [2hr]

ABSTRACT: Genetic and environmental factors influence the phenotype of an organism. Time is rarely considered when studying changes in cellular phenotype. Time-resolved microarray data revealed genome-wide transcriptional changes in cells oscillating with ~2 and ~4 h periods. We mapped the global patterns of transcriptional oscillations into a 3-dimensional map to represent different cellular phenotypes of oscillation period. This map shows the dynamic nature of transcripts through time and concentration space, and that they are ordered and coupled to each other. Although cells differed in oscillation periods, transcripts involved in certain processes were conserved in a deterministic way. This ordered timing of biological process may allow cells to grow energetically efficient. Decreased glucose levels in the media were found to increase the redox cycles of yeast strain CEN.PK113-7D. Glucose may have acted as signaling molecules for timing longer catabolic processes in the cell population. As oscillation period lengthened, the peak to trough ratio of transcripts increased and the percent of cells in the unbudded (G0/G1) phase of the cell cycle increased. Gene transcripts appear to be coordinated with metabolic functions and the cell cycle.

ORGANISM(S): Schizosaccharomyces pombe Saccharomyces cerevisiae

PROVIDER: GSE30051 | GEO | 2012/04/17

SECONDARY ACCESSION(S): PRJNA155159

REPOSITORIES: GEO

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Dynamics of two oscillation phenotypes in S. cerevisiae [2hr]

Project description:Genetic and environmental factors influence the phenotype of an organism. Time is rarely considered when studying changes in cellular phenotype. Time-resolved microarray data revealed genome-wide transcriptional changes in cells oscillating with ~2 and ~4 h periods. We mapped the global patterns of transcriptional oscillations into a 3-dimensional map to represent different cellular phenotypes of oscillation period. This map shows the dynamic nature of transcripts through time and concentration space, and that they are ordered and coupled to each other. Although cells differed in oscillation periods, transcripts involved in certain processes were conserved in a deterministic way. This ordered timing of biological process may allow cells to grow energetically efficient. Decreased glucose levels in the media were found to increase the redox cycles of yeast strain CEN.PK113-7D. Glucose may have acted as signaling molecules for timing longer catabolic processes in the cell population. As oscillation period lengthened, the peak to trough ratio of transcripts increased and the percent of cells in the unbudded (G0/G1) phase of the cell cycle increased. Gene transcripts appear to be coordinated with metabolic functions and the cell cycle. High-resolution samples over time were collected for CEN.PK113-7D oscillating with 2 hour period.

2012-04-16 | E-GEOD-30051 | biostudies-arrayexpress

Dynamics of two oscillation phenotypes in S. cerevisiae [4hr]

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Oscillating gene expression determines competence for periodic branching in the Arabidopsis root

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2022-05-12 | PXD020448 | Pride

Oscillating gene expression determines competence for periodic branching in the Arabidopsis root

Project description:The Oscillation Zone (OZ) of unsynchronized roots was dissected and divided into an upper (OZ2) and lower (OZ1) half . Samples were ordered according to DR5:GUS expression as analyzed by real time PCR to find periodic expression patterns Seedlings were grown for 5 days. 39 individual roots were dissected for RNA extraction. These microarray samples profile a specific region of the root tip designated as the Oscillation zone. Arrangement of the samples in the following order: OZ1-1, OZ1-4, OZ1-23, OZ1-14, OZ1-17, OZ1-2, OZ1-6, OZ1-13, OZ1-15, OZ1-16, OZ1-10, OZ1-32, OZ1-3, OZ1-31, OZ1-22, OZ1-35, OZ1-19, OZ1-9, OZ1-33, OZ1-20, OZ2-4, OZ2-23, OZ2-14, OZ2-6, OZ2-13, OZ2-15, OZ2-10, OZ2-32, OZ2-22, OZ2-35, OZ2-19, OZ2-9, OZ2-20, OZ2-36, OZ2-39, OZ2-21, OZ2-40, OZ2-38, OZ2-1, was used to identify periodic expression patterns.

2010-09-12 | E-GEOD-21611 | biostudies-arrayexpress

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