Quantitative analysis of gradient sensing: towards building predictive models of chemotaxis in cancer
Chemotaxis of tumor cells in response to a gradient of extracellular ligand is an important step in cancer metastasis. The heterogeneity of chemotactic responses in cancer has not been widely addressed by experimental or mathematical modeling techniques. However, recent advancements in chemoattracta...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Elsevier
2015
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| Online Access: | http://hdl.handle.net/1721.1/99475 |
| _version_ | 1826197320730935296 |
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| author | Hughes, Shannon Kay Lauffenburger, Douglas A. |
| author2 | Massachusetts Institute of Technology. Department of Biological Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Biological Engineering Hughes, Shannon Kay Lauffenburger, Douglas A. |
| author_sort | Hughes, Shannon Kay |
| collection | MIT |
| description | Chemotaxis of tumor cells in response to a gradient of extracellular ligand is an important step in cancer metastasis. The heterogeneity of chemotactic responses in cancer has not been widely addressed by experimental or mathematical modeling techniques. However, recent advancements in chemoattractant presentation, fluorescent-based signaling probes, and phenotypic analysis paradigms provide rich sources for building data-driven relational models that describe tumor cell chemotaxis in response to a wide variety of stimuli. Here we present gradient sensing, and the resulting chemotactic behavior, in a ‘cue-signal-response’ framework and suggest methods for utilizing recently reported experimental methods in data-driven modeling ventures. |
| first_indexed | 2024-09-23T10:45:53Z |
| format | Article |
| id | mit-1721.1/99475 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:45:53Z |
| publishDate | 2015 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/994752022-09-30T22:49:27Z Quantitative analysis of gradient sensing: towards building predictive models of chemotaxis in cancer Hughes, Shannon Kay Lauffenburger, Douglas A. Massachusetts Institute of Technology. Department of Biological Engineering Hughes, Shannon Kay Lauffenburger, Douglas A. Chemotaxis of tumor cells in response to a gradient of extracellular ligand is an important step in cancer metastasis. The heterogeneity of chemotactic responses in cancer has not been widely addressed by experimental or mathematical modeling techniques. However, recent advancements in chemoattractant presentation, fluorescent-based signaling probes, and phenotypic analysis paradigms provide rich sources for building data-driven relational models that describe tumor cell chemotaxis in response to a wide variety of stimuli. Here we present gradient sensing, and the resulting chemotactic behavior, in a ‘cue-signal-response’ framework and suggest methods for utilizing recently reported experimental methods in data-driven modeling ventures. United States. Dept. of Defense. Breast Cancer Research Program (U.S.) (Fellowship BC087781) National Institutes of Health (U.S.) (Grant U54-CA112967) National Institutes of Health (U.S.) (Grant R01-GM081336) 2015-10-27T16:19:34Z 2015-10-27T16:19:34Z 2012-01 Article http://purl.org/eprint/type/JournalArticle 09550674 http://hdl.handle.net/1721.1/99475 Hughes-Alford, Shannon K, and Douglas A Lauffenburger. “Quantitative Analysis of Gradient Sensing: Towards Building Predictive Models of Chemotaxis in Cancer.” Current Opinion in Cell Biology 24, no. 2 (April 2012): 284–291. en_US http://dx.doi.org/10.1016/j.ceb.2012.01.001 Current Opinion in Cell Biology Creative Commons Attribution http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier PMC |
| spellingShingle | Hughes, Shannon Kay Lauffenburger, Douglas A. Quantitative analysis of gradient sensing: towards building predictive models of chemotaxis in cancer |
| title | Quantitative analysis of gradient sensing: towards building predictive models of chemotaxis in cancer |
| title_full | Quantitative analysis of gradient sensing: towards building predictive models of chemotaxis in cancer |
| title_fullStr | Quantitative analysis of gradient sensing: towards building predictive models of chemotaxis in cancer |
| title_full_unstemmed | Quantitative analysis of gradient sensing: towards building predictive models of chemotaxis in cancer |
| title_short | Quantitative analysis of gradient sensing: towards building predictive models of chemotaxis in cancer |
| title_sort | quantitative analysis of gradient sensing towards building predictive models of chemotaxis in cancer |
| url | http://hdl.handle.net/1721.1/99475 |
| work_keys_str_mv | AT hughesshannonkay quantitativeanalysisofgradientsensingtowardsbuildingpredictivemodelsofchemotaxisincancer AT lauffenburgerdouglasa quantitativeanalysisofgradientsensingtowardsbuildingpredictivemodelsofchemotaxisincancer |