The impact of experimental design choices on parameter inference for models of growing cell colonies
To better understand development, repair and disease progression, it is useful to quantify the behaviour of proliferative and motile cell populations as they grow and expand to fill their local environment. Inferring parameters associated with mechanistic models of cell colony growth using quantitat...
| Main Authors: | , , |
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| Format: | Journal article |
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Royal Society
2018
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| _version_ | 1797058387608862720 |
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| author | Parker, A Simpson, M Baker, R |
| author_facet | Parker, A Simpson, M Baker, R |
| author_sort | Parker, A |
| collection | OXFORD |
| description | To better understand development, repair and disease progression, it is useful to quantify the behaviour of proliferative and motile cell populations as they grow and expand to fill their local environment. Inferring parameters associated with mechanistic models of cell colony growth using quantitative data collected from carefully designed experiments provides a natural means to elucidate the relative contributions of various processes to the growth of the colony. In this work, we explore how experimental design impacts our ability to infer parameters for simple models of the growth of proliferative and motile cell populations. We adopt a Bayesian approach, which allows us to characterize the uncertainty associated with estimates of the model parameters. Our results suggest that experimental designs that incorporate initial spatial heterogeneities in cell positions facilitate parameter inference without the requirement of cell tracking, while designs that involve uniform initial placement of cells require cell tracking for accurate parameter inference. As cell tracking is an experimental bottleneck in many studies of this type, our recommendations for experimental design provide for significant potential time and cost savings in the analysis of cell colony growth. |
| first_indexed | 2024-03-06T19:49:48Z |
| format | Journal article |
| id | oxford-uuid:239575d0-1024-4cb0-aa9e-99417342642c |
| institution | University of Oxford |
| last_indexed | 2024-03-06T19:49:48Z |
| publishDate | 2018 |
| publisher | Royal Society |
| record_format | dspace |
| spelling | oxford-uuid:239575d0-1024-4cb0-aa9e-99417342642c2022-03-26T11:45:02ZThe impact of experimental design choices on parameter inference for models of growing cell coloniesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:239575d0-1024-4cb0-aa9e-99417342642cSymplectic Elements at OxfordRoyal Society2018Parker, ASimpson, MBaker, RTo better understand development, repair and disease progression, it is useful to quantify the behaviour of proliferative and motile cell populations as they grow and expand to fill their local environment. Inferring parameters associated with mechanistic models of cell colony growth using quantitative data collected from carefully designed experiments provides a natural means to elucidate the relative contributions of various processes to the growth of the colony. In this work, we explore how experimental design impacts our ability to infer parameters for simple models of the growth of proliferative and motile cell populations. We adopt a Bayesian approach, which allows us to characterize the uncertainty associated with estimates of the model parameters. Our results suggest that experimental designs that incorporate initial spatial heterogeneities in cell positions facilitate parameter inference without the requirement of cell tracking, while designs that involve uniform initial placement of cells require cell tracking for accurate parameter inference. As cell tracking is an experimental bottleneck in many studies of this type, our recommendations for experimental design provide for significant potential time and cost savings in the analysis of cell colony growth. |
| spellingShingle | Parker, A Simpson, M Baker, R The impact of experimental design choices on parameter inference for models of growing cell colonies |
| title | The impact of experimental design choices on parameter inference for models of growing cell colonies |
| title_full | The impact of experimental design choices on parameter inference for models of growing cell colonies |
| title_fullStr | The impact of experimental design choices on parameter inference for models of growing cell colonies |
| title_full_unstemmed | The impact of experimental design choices on parameter inference for models of growing cell colonies |
| title_short | The impact of experimental design choices on parameter inference for models of growing cell colonies |
| title_sort | impact of experimental design choices on parameter inference for models of growing cell colonies |
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