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Rebecca C Fry

Publications and source records attributed to Rebecca C Fry.

7 recordsLinked to original sources

The DNA-damage signature in Saccharomyces cerevisiae is associated with single-strand breaks in DNA.

BACKGROUND: Upon exposure to agents that damage DNA, Saccharomyces cerevisiae undergo widespread reprogramming of gene expression. Such a vast response may be due not only to damage to DNA but also damage to proteins, RNA, and lipids. Here the transcriptional response of S. cerevisiae specifically induced by DNA damage was discerned by exposing S. cerevisiae to a panel of three "radiomimetic" enediyne antibiotics (calicheamicin gamma1I, esperamicin A1 and neocarzinostatin) that bind specifically to DNA and generate varying proportions of single- and double-strand DNA breaks. The genome-wide responses were compared to those induced by the non-selective oxidant gamma-radiation. RESULTS: Given well-controlled exposures that resulted in similar and minimal cell death (~20-25%) across all conditions, the extent of gene expression modulation was markedly different depending on treatment with the enediynes or gamma-radiation. Exposure to gamma-radiation resulted in more extensive transcriptional changes classified both by the number of genes modulated and the magnitude of change. Common biological responses were identified between the enediynes and gamma-radiation, with the induction of DNA repair and stress response genes, and the repression of ribosomal biogenesis genes. Despite these common responses, a fraction of the response induced by gamma radiation was repressed by the enediynes and vise versa, suggesting that the enediyne response is not entirely "radiomimetic." Regression analysis identified 55 transcripts with gene expression induction associated both with double- or single-strand break formation. The S. cerevisiae "DNA damage signature" genes as defined by Gasch et al. 1 were enriched among regulated transcripts associated with single-strand breaks, while genes involved in cell cycle regulation were associated with double-strand breaks. CONCLUSION: Dissection of the transcriptional response in yeast that is specifically signaled by DNA strand breaks has identified that single-strand breaks provide the signal for activation of transcripts encoding proteins involved in the DNA damage signature in S. cerevisiae, and double-strand breaks signal changes in cell cycle regulation genes.

Cell Cycle Proteins↗

Comparative modeling and analysis of microfluidic and conventional DNA microarrays.

A theoretical analysis was developed to predict molecular hybridization rates for microarrays where samples flow through microfluidic channels and for conventional microarrays where samples remain stationary during hybridization. The theory was validated by using a multiplexed microfluidic microarray where eight samples were hybridized simultaneously against eight probes using 60-mer DNA strands. Mass transfer coefficients ranged over three orders of magnitude where either kinetic reaction rates or molecular diffusion rates controlled overall hybridization rates. Probes were printed using microfluidic channels and also conventional spotting techniques. Consistent with the theoretical model, the microfluidic microarray demonstrated the ability to print DNA probes in less than 1 min and to detect 10-pM target concentrations with hybridization times in less than 5 min.

DNA↗

Standardizing global gene expression analysis between laboratories and across platforms.

To facilitate collaborative research efforts between multi-investigator teams using DNA microarrays, we identified sources of error and data variability between laboratories and across microarray platforms, and methods to accommodate this variability. RNA expression data were generated in seven laboratories, which compared two standard RNA samples using 12 microarray platforms. At least two standard microarray types (one spotted, one commercial) were used by all laboratories. Reproducibility for most platforms within any laboratory was typically good, but reproducibility between platforms and across laboratories was generally poor. Reproducibility between laboratories increased markedly when standardized protocols were implemented for RNA labeling, hybridization, microarray processing, data acquisition and data normalization. Reproducibility was highest when analysis was based on biological themes defined by enriched Gene Ontology (GO) categories. These findings indicate that microarray results can be comparable across multiple laboratories, especially when a common platform and set of procedures are used.

Gene Expression Profiling↗

Genome-wide responses to DNA-damaging agents.

Genome-wide studies of mRNA regulation and phenotypic responses have shown that eukaryotic cells mount a robust and multifaceted response upon exposure to DNA-damaging agents. The integration of theses studies over frameworks provided by protein-protein interactions, protein-DNA interactions, and subcellular localization information have led to the identification of networked responses to damage. Taken together, these studies illustrate that cellular protection from DNA and other macromolecular damage involves an intricate network of proteins involved in many different cellular functions, some of them expected (e.g., DNA repair and cell cycle checkpoints) but many of them unexpected (e.g., protein trafficking and degradation). This review highlights many of the studies that detail genome-wide responses to DNA-damaging agents and examines how these datasets have been used to build a systems view of cellular responses to damage.

DNA Damage↗

DNA damage and stress transcripts in Saccharomyces cerevisiae mutant sgs1.

The human aging diseases Werner and Bloom syndromes are a result of mutation of the WRN and BLM genes, respectively. The SGS1 gene of Saccharomyces cerevisiae is homologous to the human WRN and BLM genes of the RecQ DNA helicase family. Deletion of SGS1 results in accelerated yeast aging and a reduction in life span as well as cell cycle arrest. We demonstrate that SGS1 deletion, DNA damage, and stress show similar transcriptional responses in yeast. Our comparative analysis of the genome-wide expression response of SGS1 deletion, stress and DNA damage indicates parallel transcriptional responses to cellular insult and aging in yeast.

Aging↗

Characterization of a strong dominant phytochrome A mutation unique to phytochrome A signal propagation.

Here, we report the isolation and characterization of a strong dominant-negative phytochrome A (phyA) mutation (phyA-300D) in Arabidopsis. This mutation carries a single amino acid substitution at residue 631, from valine to methionine (V631M), in the core region within the C-terminal half of PHYA. This PHYA core region contains two protein-interactive motifs, PAS1 and PAS2. Val-631 is located within the PAS1 motif. The phyA-V631M mutant protein is photochemically active and accumulates to a level similar to wild type in dark-grown seedlings. Overexpression of PHYA-V631M in a wild-type background results in a dominant-negative interference with endogenous wild-type phyA, whereas PHYA-V631M in a phyA null mutant background is inactive. To investigate the specificity of this mutation within the phytochrome family, the corresponding amino acid substitution (V664M) was created in the PHYTOCHROME B (PHYB) polypeptide. We found that the phyB-V664M mutant protein is physiologically active in phyB mutant and causes no interfering effect in a wild-type background. Together, our results reveal a unique feature in phyA signal propagation through the C-terminal core region.

Alleles↗

Hepatic temporal gene expression profiling in Helicobacter hepaticus-infected A/JCr mice.

Helicobacter hepaticus infection of A/JCr mice is a model of infectious liver cancer. We monitored hepatic global gene expression profiles in H. hepaticus infected and control male A/JCr mice at 3 months, 6 months, and 1 year of age using an Affymetrix-based oligonucleotide microarray platform on the premise that a specific genetic expression signature at isolated time points would be indicative of disease status. Model based expression index comparisons generated by dChip yielded consistent profiles of differential gene expression for H. hepaticus infected male mice with progressive liver disease versus uninfected control mice within each age group. Linear discriminant analysis and principal component analysis allowed segregation of mice based on combined age and lesion status, or age alone. Up-regulation of putative tumor markers correlated with advancing hepatocellular dysplasia. Transcriptionally down-regulated genes in mice with liver lesions included those related to peroxisome proliferator, fatty acid, and steroid metabolism pathways. In conclusion, transcriptional profiling of hepatic genes documented gene expression signatures in the livers of H. hepaticus infected male A/JCr mice with chronic progressive hepatitis and preneoplastic liver lesions, complemented the histopathological diagnosis, and suggested molecular targets for the monitoring and intervention of disease progression prior to the onset of hepatocellular neoplasia.

Aging↗