Table of contents
March 2006 Vol 7 No 3
From the editors
p153 | doi:10.1038/nrm1895
Research Highlights
Regeneration: How does your garden grow?
p154 | doi:10.1038/nrm1903
Development: Restricting the spreading
p155 | doi:10.1038/nrm1898
Post-translational modification: A modern modification
p156 | doi:10.1038/nrm1901
Proteomics: The yeast proteome: say cheese!
p156 | doi:10.1038/nrm1902
Cell cycle: Hitching a ride
p157 | doi:10.1038/nrm1896
DNA replication: The double helix unzipped
p158 | doi:10.1038/nrm1897
Signal transduction: Fine tuning
p158 | doi:10.1038/nrm1899
In the news
MIRIAM, for fine modelling
p158 | doi:10.1038/nrm1906
Foreword
Computational cellular dynamics: a network–physics integral
p163 | doi:10.1038/nrm1904
Focus on: Modelling cellular systems
Reviews
Cell-signalling dynamics in time and space
Boris N. Kholodenko
p165 | doi:10.1038/nrm1838
Spatial and temporal dynamics of signalling networks control the specificity of cellular responses to receptor stimulation. Computational models now provide insights into the mechanisms that are responsible for signal amplification, as well as the timing, amplitude, duration and spatial distribution of signalling responses.
Building mammalian signalling pathways with RNAi screens
Jason Moffat and David M. Sabatini
p177 | doi:10.1038/nrm1860
Recent advances in RNA interference (RNAi)-mediated gene-knockdown technologies have opened up the possibility of large-scale functional discovery in mammalian systems. RNAi screening could help us to delineate the architecture of signalling pathways much faster than by using traditional approaches.
Structural systems biology: modelling protein interactions
Patrick Aloy and Robert B. Russell
p188 | doi:10.1038/nrm1859
The difficulties that are associated with the experimental determination of atomic structures for interacting proteins mean that predictive methods are needed for progress. Such structural details can be used to turn abstract system representations into models that more accurately reflect biological reality.
The model organism as a system: integrating 'omics' data sets
Andrew R. Joyce and Bernhard Ø. Palsson
p198 | doi:10.1038/nrm1857
Many genome-scale, or 'omics', data sets are becoming available for various model organisms. Although each of these data types is valuable on its own, further insights into whole systems can be gained through the integration of omics data sets.
Capturing complex 3D tissue physiology in vitro
Linda G. Griffith and Melody A. Swartz
p211 | doi:10.1038/nrm1858
Tissue engineering has opened up the possibility of studying physiological and pathophysiological processes in vitro. The foundation of this technology is a set of design principles for building three-dimensional tissues that are based on the quantitative analyses of cell and tissue behaviour.
Perspectives
Innovation
A visual approach to proteomics
Stephan Nickell, Christine Kofler, Andrew P. Leis and Wolfgang Baumeister
p225 | doi:10.1038/nrm1861
Cryo-electron tomography is an emerging imaging technique that will allow us to map molecular landscapes inside cells. This 'visual proteomics' will complement and extend mass-spectrometry-based inventories, and will provide a quantitative description of the macromolecular interactions that underlie cellular functions.
Perspectives
Essay
The highs and lows of scientific conferences
Gregory A. Petsko
p231 | doi:10.1038/nrm1832
What are the main characteristics of scientific conferences and what distinguishes the successful meetings from the less successful? When comparing, for example, big versus little conferences, long versus short meetings and specialized versus more general conferences, which features 'win'?
