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Theoretical Analysis of Competing Conformational Transitions in Superhelical DNA

Overview of attention for article published in PLoS Computational Biology, April 2012
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Title
Theoretical Analysis of Competing Conformational Transitions in Superhelical DNA
Published in
PLoS Computational Biology, April 2012
DOI 10.1371/journal.pcbi.1002484
Pubmed ID
Authors

Dina Zhabinskaya, Craig J. Benham

Abstract

We develop a statistical mechanical model to analyze the competitive behavior of transitions to multiple alternate conformations in a negatively supercoiled DNA molecule of kilobase length and specified base sequence. Since DNA superhelicity topologically couples together the transition behaviors of all base pairs, a unified model is required to analyze all the transitions to which the DNA sequence is susceptible. Here we present a first model of this type. Our numerical approach generalizes the strategy of previously developed algorithms, which studied superhelical transitions to a single alternate conformation. We apply our multi-state model to study the competition between strand separation and B-Z transitions in superhelical DNA. We show this competition to be highly sensitive to temperature and to the imposed level of supercoiling. Comparison of our results with experimental data shows that, when the energetics appropriate to the experimental conditions are used, the competition between these two transitions is accurately captured by our algorithm. We analyze the superhelical competition between B-Z transitions and denaturation around the c-myc oncogene, where both transitions are known to occur when this gene is transcribing. We apply our model to explore the correlation between stress-induced transitions and transcriptional activity in various organisms. In higher eukaryotes we find a strong enhancement of Z-forming regions immediately 5' to their transcription start sites (TSS), and a depletion of strand separating sites in a broad region around the TSS. The opposite patterns occur around transcript end locations. We also show that susceptibility to each type of transition is different in eukaryotes and prokaryotes. By analyzing a set of untranscribed pseudogenes we show that the Z-susceptibility just downstream of the TSS is not preserved, suggesting it may be under selection pressure.

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Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 36%
Researcher 6 21%
Student > Bachelor 4 14%
Professor 3 11%
Student > Postgraduate 2 7%
Other 1 4%
Unknown 2 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 36%
Physics and Astronomy 5 18%
Computer Science 4 14%
Agricultural and Biological Sciences 4 14%
Chemistry 3 11%
Other 1 4%
Unknown 1 4%