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Abstract:

Computational approaches are breaking new ground in understanding how embryos form. Here, we discuss recent studies that couple precise measurements in the embryo with appropriately matched modeling and computational methods to investigate classic embryonic patterning strategies. We include signaling gradients, activator-inhibitor systems, and coupled oscillators, as well as emerging paradigms such as tissue deformation. Parallel progress in theory and experiment will play an increasingly central role in deciphering developmental patterning.

Registro:

Documento: Artículo
Título:Computational approaches to developmental patterning
Autor:Morelli, L.G.; Uriu, K.; Ares, S.; Oates, A.C.
Filiación:Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Strasse 38, 01187 Dresden, Germany
Consejo Nacional de Investigaciones Científicas Y Técnicas, Departamento de Física, Universidad de Buenos Aires, 1428 Buenos Aires, Argentina
Theoretical Biology Laboratory, RIKEN Advanced Science Institute, Saitama 351-0198, Japan
Logic of Genomic Systems Laboratory, Centro Nacional de Biotecnologia-Consejo Superior de Investigaciones Cientificas (CSIC), Calle Darwin 3, 28049 Madrid, Spain
Grupo Interdisciplinar de Sistemas Complejos (GISC), Spain
Palabras clave:morphogen; Notch receptor; embryo; embryonic development; experimental study; inhibitor; precision; biology; cell communication; cell differentiation; cell population; cytology; embryo development; embryo pattern formation; gene expression; gene regulatory network; measurement; morphogenesis; nonhuman; priority journal; review; signal transduction
Año:2012
Volumen:336
Número:6078
Página de inicio:187
Página de fin:191
DOI: http://dx.doi.org/10.1126/science.1215478
Título revista:Science
Título revista abreviado:Science
ISSN:00368075
CODEN:SCIEA
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00368075_v336_n6078_p187_Morelli

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Citas:

---------- APA ----------
Morelli, L.G., Uriu, K., Ares, S. & Oates, A.C. (2012) . Computational approaches to developmental patterning. Science, 336(6078), 187-191.
http://dx.doi.org/10.1126/science.1215478
---------- CHICAGO ----------
Morelli, L.G., Uriu, K., Ares, S., Oates, A.C. "Computational approaches to developmental patterning" . Science 336, no. 6078 (2012) : 187-191.
http://dx.doi.org/10.1126/science.1215478
---------- MLA ----------
Morelli, L.G., Uriu, K., Ares, S., Oates, A.C. "Computational approaches to developmental patterning" . Science, vol. 336, no. 6078, 2012, pp. 187-191.
http://dx.doi.org/10.1126/science.1215478
---------- VANCOUVER ----------
Morelli, L.G., Uriu, K., Ares, S., Oates, A.C. Computational approaches to developmental patterning. Science. 2012;336(6078):187-191.
http://dx.doi.org/10.1126/science.1215478