Optimal Decoding of Cellular Identities in a Genetic Network
| العنوان: | Optimal Decoding of Cellular Identities in a Genetic Network |
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| المؤلفون: | Eric Wieschaus, William Bialek, Thomas Gregor, Mariela D. Petkova, Gašper Tkačik |
| المساهمون: | Harvard University, Department of Physics, Princeton University (DPPU), Princeton University, Institute of Science and Technology [Klosterneuburg, Austria] (IST Austria), Physique des fonctions biologiques / Physics of Biological Functions, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), This work was supported, in part, by U.S. NIH grants (P50GM071508, R01GM077599, and R01GM097275), U.S. NSF grants (PHY-1607612, CCF-0939370, Center for the Science of Information, PHY–1734030, Center for the Physics of Biological Function), an Austrian Science Fund grant (FWF P28844 to G.T.), and an Howard Hughes Medical Institute International Student Research Fellowship (to M.D.P.)., Harvard University [Cambridge], Institute of Science and Technology [Austria] (IST Austria), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS) |
| المصدر: | Cell Cell, 2019, 176 (4), pp.844-855.e15. ⟨10.1016/j.cell.2019.01.007⟩ Cell, Elsevier, 2019, 176 (4), pp.844-855.e15. ⟨10.1016/j.cell.2019.01.007⟩ |
| بيانات النشر: | HAL CCSD, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Embryo, Nonmammalian, MESH: GTPase-Activating Proteins, 0302 clinical medicine, MESH: Gene Expression Regulation, Developmental, Drosophila Proteins, MESH: Embryonic Development, Gene Regulatory Networks, MESH: Animals, MESH: Models, Genetic, [SDV.BDD]Life Sciences [q-bio]/Development Biology, MESH: Gene Regulatory Networks, 0303 health sciences, cell fate, GTPase-Activating Proteins, Gene Expression Regulation, Developmental, Cell Differentiation, MESH: Transcription Factors, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Drosophila melanogaster, Drosophila, developmental precision, Algorithm, Decoding methods, MESH: Body Patterning, MESH: Cell Differentiation, MESH: Drosophila Proteins, [PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph], Genetic network, Embryonic Development, Cell fate determination, Biology, General Biochemistry, Genetics and Molecular Biology, Article, MESH: Drosophila melanogaster, 03 medical and health sciences, Position (vector), genetic networks, Animals, Enhancer, Gap gene, 030304 developmental biology, Body Patterning, Models, Genetic, embryonic patterning, fungi, MESH: Embryo, Nonmammalian, cell specification, Expression (mathematics), optimality, quantitative imaging, 030217 neurology & neurosurgery, Free parameter, Transcription Factors |
| الوصف: | In developing organisms, spatially prescribed cell identities are thought to be determined by the expression levels of multiple genes. Quantitative tests of this idea, however, require a theoretical framework capable of exposing the rules and precision of cell specification over developmental time. Using the gap gene network in the early fly embryo as an example, we use such a framework to show how expression levels of the four gap genes can be jointly decoded into an optimal specification of position with 1% accuracy. The decoder correctly predicts, with no free parameters, the dynamics of pair-rule expression patterns at different developmental time points and in various mutant backgrounds. Precise cellular identities are thus available at the earliest stages of development, contrasting the prevailing view of positional information being slowly refined across successive layers of the patterning network. Our results suggest that developmental enhancers closely approximate a mathematically optimal decoding strategy. |
| اللغة: | English |
| تدمد: | 0092-8674 1097-4172 |
| DOI: | 10.1016/j.cell.2019.01.007⟩ |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92b38600a2d62410a231ff4b4514f92c https://hal-pasteur.archives-ouvertes.fr/pasteur-03216294/file/nihms-1520020.pdf |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....92b38600a2d62410a231ff4b4514f92c |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 00928674 10974172 |
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| DOI: | 10.1016/j.cell.2019.01.007⟩ |