Computational approaches to developmental patterning
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 signalin...
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2012
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00368075_v336_n6078_p187_Morelli http://hdl.handle.net/20.500.12110/paper_00368075_v336_n6078_p187_Morelli |
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paper:paper_00368075_v336_n6078_p187_Morelli |
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paper:paper_00368075_v336_n6078_p187_Morelli2023-06-08T15:02:06Z Computational approaches to developmental patterning 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 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. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00368075_v336_n6078_p187_Morelli http://hdl.handle.net/20.500.12110/paper_00368075_v336_n6078_p187_Morelli |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
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 |
| spellingShingle |
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 Computational approaches to developmental patterning |
| topic_facet |
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 |
| description |
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. |
| title |
Computational approaches to developmental patterning |
| title_short |
Computational approaches to developmental patterning |
| title_full |
Computational approaches to developmental patterning |
| title_fullStr |
Computational approaches to developmental patterning |
| title_full_unstemmed |
Computational approaches to developmental patterning |
| title_sort |
computational approaches to developmental patterning |
| publishDate |
2012 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00368075_v336_n6078_p187_Morelli http://hdl.handle.net/20.500.12110/paper_00368075_v336_n6078_p187_Morelli |
| _version_ |
1768544542588403712 |