Leukocyte Motility Models Assessed through Simulation and Multi-objective Optimization-Based Model Selection
- Submitting institution
-
University of Sunderland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 979
- Type
- D - Journal article
- DOI
-
10.1371/journal.pcbi.1005082
- Title of journal
- PLOS Computational Biology
- Article number
- e1005082
- First page
- -
- Volume
- 12
- Issue
- 9
- ISSN
- 1553-734X
- Open access status
- Technical exception
- Month of publication
- September
- Year of publication
- 2016
- URL
-
http://sure.sunderland.ac.uk/id/eprint/10845/
- 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)
-
-
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper provided the basis for further investigation by international teams relating to cell swarming in the immune system. Nature Communications 9:3372 (2018) demonstrated how the motility of B cell lineages to provide details into exactly where B-cell reactivation occurs in the lymph node, and the modelling of that process led to new insight into how and why B-cells move as they do. Further work published in ELife 9:e56554 (2020), showed that T cells swarm, providing new insight into how T cells self-recruit into tumours. Nature Cell Biology 22(12):1460-1470 (2020) provides insight cell nucleus movement relating to DNA repair.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -