Search Results - "KLEVECZ, R. R"

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  1. 1

    genomewide oscillation in transcription gates DNA replication and cell cycle by Klevecz, R.R, Bolen, J, Forrest, G, Murray, D.B

    “…Microarray analysis from a yeast continuous synchrony culture system shows a genomewide oscillation in transcription. Maximums in transcript levels occur at…”
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    Dynamics of oscillatory phenotypes in Saccharomyces cerevisiae reveal a network of genome‐wide transcriptional oscillators by Chin, Shwe L., Marcus, Ian M., Klevecz, Robert R., Li, Caroline M.

    Published in The FEBS journal (01-03-2012)
    “…Genetic and environmental factors are well‐studied influences on phenotype; however, time is a variable that is rarely considered when studying changes in…”
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    Generation and maintenance of synchrony in Saccharomyces cerevisiae continuous culture by Murray, Douglas B., Klevecz, Robert R., Lloyd, David

    Published in Experimental cell research (01-07-2003)
    “…Cultures of Saccharomyces cerevisiae grown continuously produce an autonomous oscillation in many metabolic outputs. The most conveniently measured variable,…”
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    A Rapid Genome-Scale Response of the Transcriptional Oscillator to Perturbation Reveals a Period-Doubling Path to Phenotypic Change by Li, Caroline M., Klevecz, Robert R.

    “…Perturbation of the gated-synchrony system in yeast with phenelzine, an antidepressant drug used in the treatment of affective disorders in humans, leads to a…”
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    Evolution of the clock from yeast to man by period-doubling folds in the cellular oscillator by Klevecz, R R, Li, C M

    “…Analysis of genome-wide oscillations in transcription reveals that the cell is an oscillator and an attractor and that the maintenance of a stable phenotype…”
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    Application of Bayesian Decomposition for analysing microarray data by Moloshok, T. D., Klevecz, R. R., Grant, J. D., Manion, F. J., Speier, W. F., Ochs, M. F.

    Published in Bioinformatics (01-04-2002)
    “…Motivation: Microarray and gene chip technology provide high throughput tools for measuring gene expression levels in a variety of circumstances, including…”
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    Dynamic architecture of the yeast cell cycle uncovered by wavelet decomposition of expression microarray data by Klevecz, Robert R

    Published in Functional & integrative genomics (01-11-2000)
    “…Wavelet analysis has been applied to yeast cell cycle expression microchip data to reveal large-scale temporal structures and ubiquitous oscillations in mRNA…”
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    Genome wide oscillations in expression. Wavelet analysis of time series data from yeast expression arrays uncovers the dynamic architecture of phenotype by Klevecz, R R, Murray, D B

    Published in Molecular biology reports (2001)
    “…A reanalysis of expression arrays in yeast cells synchronized by alpha factor blockade or through the use of temperature sensitive mutants uncovered a genome…”
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    Collective behavior in gene regulation: The cell is an oscillator, the cell cycle a developmental process by Klevecz, Robert R, Li, Caroline M, Marcus, Ian, Frankel, Paul H

    Published in The FEBS journal (01-05-2008)
    “…The finding of a genome-wide oscillation in transcription that gates cells into S phase and coordinates mitochondrial and metabolic functions has altered our…”
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  10. 10

    Tuning in the transcriptome: basins of attraction in the yeast cell cycle by Klevecz, R. R., Dowse, H. B.

    Published in Cell proliferation (01-08-2000)
    “…Image processing techniques and wavelet analyses have been applied to the yeast cell cycle expression microchip data to reveal large‐scale temporally coherent…”
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    Phenotypic heterogeneity and genotypic instability in coupled cellular arrays by Klevecz, Robert R.

    Published in Physica. D (01-12-1998)
    “…The dynamic origins of phenotypic heterogeneity and genotypic instability and hypermutation have been investigated in simulated tissues comprised of 900-25 600…”
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  12. 12

    Replication Synchrony-PCR: A Sampling-Time-Independent Assay for Replication Synchrony in Human Tissues and Tumors in situ by De Francesco, Laura, Klevecz, Robert R.

    “…Replication synchrony within a cell population can be demonstrated by pulse-labeling followed by PCR amplification of immunoprecipitated 5-iodo-2′-deoxyuridine…”
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  13. 13

    Distinct circadian time structures characterize myeloid and erythroid progenitor and multipotential cell clonogenicity as well as marrow precursor proliferation dynamics by Wood, P A, Hrushesky, W J, Klevecz, R

    Published in Experimental hematology (01-06-1998)
    “…Circadian differences in the susceptibility of the marrow to the effects of radiation, myelotoxic drugs, and growth factors suggest that hematopoietic…”
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  14. 14

    Flow cytometric evaluation of ovarian cancer by Braly, P S, Klevecz, R R

    Published in Cancer (15-02-1993)
    “…Despite recent advances in the treatment of ovarian cancer, the long-term prognosis for patients with this malignancy appears to depend more on tumor…”
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    Circadian gating of S phase in human ovarian cancer by KLEVECZ, R. R, SHYMKO, R. M, BLUMENFELD, D, BRALY, P. S

    Published in Cancer research (Chicago, Ill.) (01-12-1987)
    “…Cell proliferation in 30 patients with ovarian cancer was analyzed using flow cytometry to determine changes in the percentage of cells in S phase. By this…”
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  16. 16

    Quantized Generation Time in Mammalian Cells as an Expression of the Cellular Clock by Klevecz, Robert R.

    “…The distribution of possible generation times in mammalian cells does not appear to be continuous within the limits of range for each cell type; rather,…”
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    Signal processing and the design of microarray time-series experiments by Klevecz, Robert R, Li, Caroline M, Bolen, James L

    “…Recent findings of a genome-wide oscillation involving the transcriptome of the budding yeast Saccharomyces cerevisiae suggest that the most promising path to…”
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    Tumor DNA content as a prognostic feature in advanced epithelial ovarian carcinoma by Blumenfeld, D, Braly, P S, Ben-Ezra, J, Klevecz, R R

    Published in Gynecologic oncology (01-07-1987)
    “…Tumor DNA content (ploidy) was determined in 84 patients with epithelial ovarian carcinoma. Stage II-IV. A total of 251 DNA histograms generated by flow…”
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