Literature DB >> 17440530

Biology by numbers: mathematical modelling in developmental biology.

Claire J Tomlin1, Jeffrey D Axelrod.   

Abstract

In recent years, mathematical modelling of developmental processes has earned new respect. Not only have mathematical models been used to validate hypotheses made from experimental data, but designing and testing these models has led to testable experimental predictions. There are now impressive cases in which mathematical models have provided fresh insight into biological systems, by suggesting, for example, how connections between local interactions among system components relate to their wider biological effects. By examining three developmental processes and corresponding mathematical models, this Review addresses the potential of mathematical modelling to help understand development.

Mesh:

Year:  2007        PMID: 17440530     DOI: 10.1038/nrg2098

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  50 in total

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2.  Modeling the control of planar cell polarity.

Authors:  Jeffrey D Axelrod; Claire J Tomlin
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3.  Reconsidering the bio-detection of tolerance in renal transplantation.

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Review 4.  Quantitative approaches in developmental biology.

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5.  Exact and approximate distributions of protein and mRNA levels in the low-copy regime of gene expression.

Authors:  Pavol Bokes; John R King; Andrew T A Wood; Matthew Loose
Journal:  J Math Biol       Date:  2011-06-08       Impact factor: 2.259

6.  Collective Space-Sensing Coordinates Pattern Scaling in Engineered Bacteria.

Authors:  Yangxiaolu Cao; Marc D Ryser; Stephen Payne; Bochong Li; Christopher V Rao; Lingchong You
Journal:  Cell       Date:  2016-04-21       Impact factor: 41.582

7.  Systems biology of embryogenesis.

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Journal:  Reprod Fertil Dev       Date:  2010       Impact factor: 2.311

Review 8.  How computational models contribute to our understanding of the germ line.

Authors:  Kathryn Atwell; Sara-Jane Dunn; James M Osborne; Hillel Kugler; E Jane Albert Hubbard
Journal:  Mol Reprod Dev       Date:  2016-10-07       Impact factor: 2.609

9.  A dynamic model for stem cell homeostasis and patterning in Arabidopsis meristems.

Authors:  Tim Hohm; Eckart Zitzler; Rüdiger Simon
Journal:  PLoS One       Date:  2010-02-12       Impact factor: 3.240

10.  Predicting phenotypic diversity and the underlying quantitative molecular transitions.

Authors:  Claudiu A Giurumescu; Paul W Sternberg; Anand R Asthagiri
Journal:  PLoS Comput Biol       Date:  2009-04-10       Impact factor: 4.475

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