Neural tube patterning : from a minimal model for rostrocaudal patterning toward an integrated 3D model
(2021) In iScience 24(6).- Abstract
Rostrocaudal patterning of the neural tube is a defining event in vertebrate brain development. This process is driven by morphogen gradients which specify the fate of neural progenitor cells, leading to the partitioning of the tube. Although this is extensively studied experimentally, an integrated view of the genetic circuitry is lacking. Here, we present a minimal gene regulatory model for rostrocaudal patterning, whose tristable topology was determined in a data-driven way. Using this model, we identified the repression of hindbrain fate as promising strategy for the improvement of current protocols for the generation of dopaminergic neurons. Furthermore, we combined our model with an established minimal model for dorsoventral... (More)
Rostrocaudal patterning of the neural tube is a defining event in vertebrate brain development. This process is driven by morphogen gradients which specify the fate of neural progenitor cells, leading to the partitioning of the tube. Although this is extensively studied experimentally, an integrated view of the genetic circuitry is lacking. Here, we present a minimal gene regulatory model for rostrocaudal patterning, whose tristable topology was determined in a data-driven way. Using this model, we identified the repression of hindbrain fate as promising strategy for the improvement of current protocols for the generation of dopaminergic neurons. Furthermore, we combined our model with an established minimal model for dorsoventral patterning on a realistic 3D neural tube and found that key features of neural tube patterning could be recapitulated. Doing so, we demonstrate how data and models from different sources can be combined to simulate complex in vivo processes.
(Less)
- author
- Brambach, Max
; Ernst, Ariane
; Nolbrant, Sara
LU
; Drouin-Ouellet, Janelle
LU
; Kirkeby, Agnete
LU
; Parmar, Malin
LU
and Olariu, Victor LU
- organization
-
- StemTherapy: National Initiative on Stem Cells for Regenerative Therapy
- Developmental and Regenerative Neurobiology (research group)
- MultiPark: Multidisciplinary research focused on ParkinsonĀ“s disease
- Human Neural Developmental Biology (research group)
- Computational Biology and Biological Physics - Has been reorganised
- publishing date
- 2021-06-25
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- biophysics, neurogenetics, systems neuroscience
- in
- iScience
- volume
- 24
- issue
- 6
- article number
- 102559
- pages
- 16 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85107155570
- pmid:34142058
- ISSN
- 2589-0042
- DOI
- 10.1016/j.isci.2021.102559
- project
- Computational Science for Health and Environment
- language
- English
- LU publication?
- yes
- id
- c7eba300-55f9-4984-90e8-3038cc2e0747
- date added to LUP
- 2021-06-18 13:17:38
- date last changed
- 2024-06-29 13:52:08
@article{c7eba300-55f9-4984-90e8-3038cc2e0747, abstract = {{<p>Rostrocaudal patterning of the neural tube is a defining event in vertebrate brain development. This process is driven by morphogen gradients which specify the fate of neural progenitor cells, leading to the partitioning of the tube. Although this is extensively studied experimentally, an integrated view of the genetic circuitry is lacking. Here, we present a minimal gene regulatory model for rostrocaudal patterning, whose tristable topology was determined in a data-driven way. Using this model, we identified the repression of hindbrain fate as promising strategy for the improvement of current protocols for the generation of dopaminergic neurons. Furthermore, we combined our model with an established minimal model for dorsoventral patterning on a realistic 3D neural tube and found that key features of neural tube patterning could be recapitulated. Doing so, we demonstrate how data and models from different sources can be combined to simulate complex in vivo processes.</p>}}, author = {{Brambach, Max and Ernst, Ariane and Nolbrant, Sara and Drouin-Ouellet, Janelle and Kirkeby, Agnete and Parmar, Malin and Olariu, Victor}}, issn = {{2589-0042}}, keywords = {{biophysics; neurogenetics; systems neuroscience}}, language = {{eng}}, month = {{06}}, number = {{6}}, publisher = {{Elsevier}}, series = {{iScience}}, title = {{Neural tube patterning : from a minimal model for rostrocaudal patterning toward an integrated 3D model}}, url = {{http://dx.doi.org/10.1016/j.isci.2021.102559}}, doi = {{10.1016/j.isci.2021.102559}}, volume = {{24}}, year = {{2021}}, }