A cell-based computational model of early embryogenesis coupling mechanical behaviour and gene regulation
- Submitting institution
-
Manchester Metropolitan University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2544
- Type
- D - Journal article
- DOI
-
10.1038/ncomms13929
- Title of journal
- Nature Communications
- Article number
- 13929
- First page
- -
- Volume
- 8
- Issue
- 1
- ISSN
- 2041-1723
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2017
- URL
-
https://e-space.mmu.ac.uk/617907/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
-
C - Machine Intelligence
- Citation count
- 29
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This study presents an innovative integrative modelling platform (MecaGen), combining cell biomechanics and molecular signalling, to improve understanding of the the self-organized dynamics of morphogenesis. Experiments on live imaging data demonstrated its validity and usefulness. The computation model developed in this paper has been referred in multiple application domains including in silico neural tissue development modelling (doi: 10.3389/fncom.2020.588224), quantitative modelling of growing and regenerating tissues (doi: 10.1007/s10237-019-01204-7)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -