this is for holding javascript data
Rosamaria Cannavo edited Abstract.tex
about 9 years ago
Commit id: 6ffb8b1b5a393e789e56c1485e4bc8f4c8d13613
deletions | additions
diff --git a/Abstract.tex b/Abstract.tex
index 8909d23..99cbc28 100644
--- a/Abstract.tex
+++ b/Abstract.tex
...
The abstract of the paper should be succinct; it must not exceed 300 words. Authors should mention the techniques used without going into methodological detail and should summarize the most important results. While the abstract is conceptually divided into three sections (Background, Methodology/Principal Findings, and Conclusions/Significance), please do not apply these distinct headings to the abstract within the article file. Please do not include any citations and avoid specialist abbreviations.
- "Coupled oscillators are not only of great biological interest, but also very interesting from a dynamical systems point of view. In a systems biology context, the interconnection between two periodic processes such the circadian rhythm and the cell cycle represents an ideal system that can be analyzed at the single-cell level. A large dataset
analysis from time-lapse imaging of single
mouse fibroblast showed, in our previous study, that circadian and cell
data
- non-parametric reconstruction cycle are robustly synchronized. This synchronization state is observed over a wide range of conditions and reflects predominant influence of the
dynamics
- identify new interaction
- cell cycle on the circadian cycle. Moreover, parameters of the coupling functions has been identified with stochastic modeling of two interacting phase oscillators. In this follow up study we performed a thorough analysis of the model
and achieved a non-parametric reconstruction of the dynamics, identifying new interaction points. This allows us to make more specific predictions on precise cell cycle events that could influence the circadian clock, such the condensation of chromosomes starting from prophase, and subsequently testing those prediction using further markers of cell cycle events."