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WIREs Syst Biol Med
Impact Factor: 2.385
Wiley Interdisciplinary Reviews:
Systems Biology and Medicine
Volume 9 Issue 1 (January/February 2017)
Page 0 - 0

Cover Image

Cover Image, Volume 9, Issue 1
Published Online: Jan 09 2017
DOI: 10.1002/wsbm.1383
The cover image, by Lior Zangi et al., is based on the Focus Article Modified mRNA as a therapeutic tool to induce cardiac regeneration in ischemic heart disease, DOI: 10.1002/wsbm.1367.
Abstract Full article on Wiley Online Library:   HTML | PDF

Primer

Behavioral epigenetics
Published Online: Dec 01 2016
DOI: 10.1002/wsbm.1333
Abstract Full article on Wiley Online Library:   HTML | PDF

Overview

Mathematical modeling of the female reproductive system: from oocyte to delivery
Published Online: Sep 09 2016
DOI: 10.1002/wsbm.1353
Abstract Full article on Wiley Online Library:   HTML | PDF

Advanced Reviews

Modeling, signaling and cytoskeleton dynamics: integrated modeling‐experimental frameworks in cell migration
Published Online: Nov 15 2016
DOI: 10.1002/wsbm.1365
The prediction power of cellular models is significant in unveiling complex mechanisms of cell migration behavior in would healing, morphogenesis and disease development, such as cancer metastasis. This power can be enhanced by considering molecular and cytoskeleton dynamics within individual cells due to their genotype heterogeneity. The experimental data of molecular and cytoskeleton dynamics in the intracellular level, with cell migration quantities at multi‐cellular level, can be integrated with these multi‐scale models to validate and optimize the understanding of cell migration. These multi‐scale models and integrated modeling‐experimental framework will be vital in the near future in predicting the evolution of heterogeneity among cell populations in cell migration process, and the effect of this heterogeneity in both cellular level and up to tissue level to study homeostasis development, and disease progressions.
Abstract Full article on Wiley Online Library:   HTML | PDF
Computational approaches for the identification of cancer genes and pathways
Published Online: Nov 11 2016
DOI: 10.1002/wsbm.1364
Abstract Full article on Wiley Online Library:   HTML | PDF
Network dynamics: quantitative analysis of complex behavior in metabolism, organelles, and cells, from experiments to models and back
Published Online: Sep 07 2016
DOI: 10.1002/wsbm.1352
(Top) Schematic representation of a mitochondrial network depicting local time‐varying coupling constant, K, of mitochondrion m to its nearest neighbors n. Within a stochastic phase model that is based on the Kuramoto model, the coupling constant of mitochondrion m represents the average coupling of m to its n nearest neighbors (violet cloud). (Bottom) Local coupling between mitochondria is attributed to diffusive coupling agents that interact with the inner mitochondrial membrane (color bar: yellow/red: strong; green/blue: weak, coupling).
Abstract Full article on Wiley Online Library:   HTML | PDF

Focus Article

Modified mRNA as a therapeutic tool to induce cardiac regeneration in ischemic heart disease
Published Online: Dec 02 2016
DOI: 10.1002/wsbm.1367
Abstract Full article on Wiley Online Library:   HTML | PDF

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In the Spotlight

Jens Nielsen

Jens Nielsen
is a Professor in the Department of Biology and Biological Engineering at Chalmers University of Technology in Göteborg, Sweden. His research focus is on systems biology of metabolism. The yeast Saccharomyces cerevisiae is the lab’s key organism for experimental research, but they also work with Aspergilli oryzae.

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