Hao Zhu
The spatiotemporal order of signaling events unveils the logic of development signaling
Zhu, Hao; Owen, Markus R.; Mao, Yanlan
Authors
Abstract
Motivation: Animals from worms and insects to birds and mammals show distinct body plans; however, the embryonic development of diverse body plans with tissues and organs within is controlled by a surprisingly few signaling pathways. It is well recognized that combinatorial use of and dynamic interactions among signaling pathways follow specific logic to control complex and accurate developmental signaling and patterning, but it remains elusive what such logic is, or even, what it looks like.
Results: We have developed a computational model for Drosophila eye development with innovated methods to reveal how interactions among multiple pathways control the dynamically generated hexagonal array of R8 cells. We obtained two novel findings. First, the coupling between the long-range inductive signals produced by the proneural Hh signaling and the short-range restrictive signals produced by the antineural Notch and EGFR signaling is essential for generating accurately spaced R8s. Second, the spatiotemporal orders of key signaling events reveal a robust pattern of lateral inhibition conducted by Ato-coordinated Notch and EGFR signaling to collectively determine R8 patterning. This pattern, stipulating the orders of signaling and comparable to the protocols of communication, may help decipher the well-appreciated but poorly-defined logic of developmental signaling.
Citation
Zhu, H., Owen, M. R., & Mao, Y. (in press). The spatiotemporal order of signaling events unveils the logic of development signaling. Bioinformatics, 32(15), https://doi.org/10.1093/bioinformatics/btw121
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 28, 2016 |
Online Publication Date | Mar 7, 2016 |
Deposit Date | Aug 30, 2016 |
Publicly Available Date | Mar 29, 2024 |
Journal | Bioinformatics |
Print ISSN | 1367-4803 |
Publisher | Oxford University Press |
Peer Reviewed | Peer Reviewed |
Volume | 32 |
Issue | 15 |
DOI | https://doi.org/10.1093/bioinformatics/btw121 |
Public URL | https://nottingham-repository.worktribe.com/output/781283 |
Publisher URL | http://bioinformatics.oxfordjournals.org/content/32/15/2313 |
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc/4.0
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