Design and interpretation of cell trajectory assays
Cell trajectory data are often reported in the experimental cell biology literature to distinguish between different types of cell migration. Unfortunately, there is no accepted protocol for designing or interpreting such experiments and this makes it difficult to quantitatively compare different pu...
| Main Authors: | , , |
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| Format: | Journal article |
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Royal Society
2013
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| _version_ | 1797086006087778304 |
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| author | Bowden, L Simpson, M Baker, R |
| author_facet | Bowden, L Simpson, M Baker, R |
| author_sort | Bowden, L |
| collection | OXFORD |
| description | Cell trajectory data are often reported in the experimental cell biology literature to distinguish between different types of cell migration. Unfortunately, there is no accepted protocol for designing or interpreting such experiments and this makes it difficult to quantitatively compare different published datasets and to understand how changes in experimental design influence our ability to interpret different experiments. Here, we use an individual-based mathematical model to simulate the key features of a cell trajectory experiment. This shows that our ability to correctly interpret trajectory data is extremely sensitive to the geometry and timing of the experiment, the degree of motility bias and the number of experimental replicates. We show that cell trajectory experiments produce data that are most reliable when the experiment is performed in a quasi-one-dimensional geometry with a large number of identically prepared experiments conducted over a relatively short time-interval rather than a few trajectories recorded over particularly long time-intervals. |
| first_indexed | 2024-03-07T02:15:52Z |
| format | Journal article |
| id | oxford-uuid:a23754a8-e8b2-481d-915c-a5413fd1a620 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T02:15:52Z |
| publishDate | 2013 |
| publisher | Royal Society |
| record_format | dspace |
| spelling | oxford-uuid:a23754a8-e8b2-481d-915c-a5413fd1a6202022-03-27T02:18:39ZDesign and interpretation of cell trajectory assaysJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a23754a8-e8b2-481d-915c-a5413fd1a620Mathematical Institute - ePrintsRoyal Society2013Bowden, LSimpson, MBaker, RCell trajectory data are often reported in the experimental cell biology literature to distinguish between different types of cell migration. Unfortunately, there is no accepted protocol for designing or interpreting such experiments and this makes it difficult to quantitatively compare different published datasets and to understand how changes in experimental design influence our ability to interpret different experiments. Here, we use an individual-based mathematical model to simulate the key features of a cell trajectory experiment. This shows that our ability to correctly interpret trajectory data is extremely sensitive to the geometry and timing of the experiment, the degree of motility bias and the number of experimental replicates. We show that cell trajectory experiments produce data that are most reliable when the experiment is performed in a quasi-one-dimensional geometry with a large number of identically prepared experiments conducted over a relatively short time-interval rather than a few trajectories recorded over particularly long time-intervals. |
| spellingShingle | Bowden, L Simpson, M Baker, R Design and interpretation of cell trajectory assays |
| title | Design and interpretation of cell trajectory assays |
| title_full | Design and interpretation of cell trajectory assays |
| title_fullStr | Design and interpretation of cell trajectory assays |
| title_full_unstemmed | Design and interpretation of cell trajectory assays |
| title_short | Design and interpretation of cell trajectory assays |
| title_sort | design and interpretation of cell trajectory assays |
| work_keys_str_mv | AT bowdenl designandinterpretationofcelltrajectoryassays AT simpsonm designandinterpretationofcelltrajectoryassays AT bakerr designandinterpretationofcelltrajectoryassays |