tractive areaofstudyfor theoretical biologists (see, for example, refs. 1-3), and the application ofcomplementary modelling and experimental approachescanyieldinsightsintooscillatorydynamics thatgobeyond those that can be obtained by either in isolation. The benefits ofthis synergy are reflected in the contributions appearing in this book.

Autorentext

MIGUEL MAROTO, PhD, is a MRC Career Development Fellow and Lecturer at the University of Dundee, UK. He received his PhD in Biochemistry and Molecular Biology from the Department of Biochemistry of the Universidad Autonoma of Madrid, Spain. His research interests include investigating the biochemical basis of different signalling mechanisms implicated in the acquisition of specific cell fates during vertebrate development. During the last years he has been implicated in the analysis of the mechanism of the molecular clock involved in the control of the process of somitogenesis.

NICK MONK, PhD, is an Associate Professor and Reader in Applied Mathematics at the University of Nottingham, UK. Having received his Ph.D. in theoretical physics from the University of London, his research changed focus to centre on the mathematical and computational modelling of biological systems. Particular areas of interest include pattern formation, developmental biology, complex network dynamics and mechanisms of intercellular signalling.

Zusammenfassung

Oscillatory dynamics are a central feature of a wide range of biological processes. This text fully explores cellular oscillations, focusing particularly on elucidating the basic mechanisms that underlie these oscillations.

Inhalt
Calcium Oscillations.- Oscillations by the p53-Mdm2 Feedback Loop.- cAMP Oscillations during Aggregation of Dictyostelium.- Min Oscillation in Bacteria.- Development on Time.- Oscillatory Expression of Hes Family Transcription Factors: Insights from Mathematical Modelling.- Reverse Engineering Models of Cell Cycle Regulation.- Mitochondrial Oscillations in Physiology and Pathophysiology.- Respiratory Oscillations in Yeasts.- Stochastic Phase Oscillator Models for Circadian Clocks.