An integrated modelling framework from cells to organism based on a cohort of digital embryos-Reference-Cited by-同舟云学术

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An integrated modelling framework from cells to organism based on a cohort of digital embryos

Published:2016-12 Issue:1 Volume:6 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Villoutreix Paul,Delile Julien,Rizzi Barbara,Duloquin Louise,Savy Thierry,Bourgine Paul,Doursat René,Peyriéras Nadine

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/srep37438.pdf

Reference32 articles.

1. W. J. Blake, M. Kærn, C. R. Cantor & J. J. Collins . Noise in eukaryotic gene expression. Nature 422, 633–637 (2003).

2. M. B. Elowitz, A. J. Levine, E. D. Siggia & P. S. Swain . Stochastic gene expression in a single cell. Science 297, 1183–1186 (2002).

3. H. Dann & J. Paulsson . Random partitioning of molecules at cell division. Proc. Natl. Acad. Sci. USA. 108, 15004–15009 (2011).

4. P. Pantazis & W. Supatto . Advances in whole-embryo imaging: a quantitative transition is underway. Nature Reviews Molecular Cell Biology 15, 327–339 (2014).

5. N. Olivier et al. Cell lineage reconstruction of early zebrafish embryos using label-free nonlinear microscopy. Science 329, 967–971 (2010).

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