Correlation of cell membrane dynamics and cell motility
Background: Essential events of cell development and homeostasis are revealed by the associated changes of cell morphology and therefore have been widely used as a key indicator of physiological states and molecular pathways affecting various cellular functions via cytoskeleton. Cell motility is...
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Springer (Biomed Central Ltd.)
2012
|
| Online Access: | http://hdl.handle.net/1721.1/73033 https://orcid.org/0000-0002-9038-1622 |
| _version_ | 1826211813924012032 |
|---|---|
| author | Veronika, Merlin Welsch, Roy E. Ng, Alvin Matsudaira, Paul T. Rajapakse, Jagath |
| author2 | Massachusetts Institute of Technology. Department of Biological Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Biological Engineering Veronika, Merlin Welsch, Roy E. Ng, Alvin Matsudaira, Paul T. Rajapakse, Jagath |
| author_sort | Veronika, Merlin |
| collection | MIT |
| description | Background:
Essential events of cell development and homeostasis are revealed by the associated changes of cell morphology and therefore have been widely used as a key indicator of physiological states and molecular pathways affecting various cellular functions via cytoskeleton. Cell motility is a complex phenomenon primarily driven by the actin network, which plays an important role in shaping the morphology of the cells. Most of the morphology based features are approximated from cell periphery but its dynamics have received none to scant attention. We aim to bridge the gap between membrane dynamics and cell states from the perspective of whole cell movement by identifying cell edge patterns and its correlation with cell dynamics.
Results:
We present a systematic study to extract, classify, and compare cell dynamics in terms of cell motility and edge activity. Cell motility features extracted by fitting a persistent random walk were used to identify the initial set of cell subpopulations. We propose algorithms to extract edge features along the entire cell periphery such as protrusion and retraction velocity. These constitute a unique set of multivariate time-lapse edge features that are then used to profile subclasses of cell dynamics by unsupervised clustering.
Conclusions:
By comparing membrane dynamic patterns exhibited by each subclass of cells, correlated trends of edge and cell movements were identified. Our findings are consistent with published literature and we also identified that motility patterns are influenced by edge features from initial time points compared to later sampling intervals. |
| first_indexed | 2024-09-23T15:11:48Z |
| format | Article |
| id | mit-1721.1/73033 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:11:48Z |
| publishDate | 2012 |
| publisher | Springer (Biomed Central Ltd.) |
| record_format | dspace |
| spelling | mit-1721.1/730332022-09-29T13:18:25Z Correlation of cell membrane dynamics and cell motility Veronika, Merlin Welsch, Roy E. Ng, Alvin Matsudaira, Paul T. Rajapakse, Jagath Massachusetts Institute of Technology. Department of Biological Engineering Sloan School of Management Welsch, Roy E. Welsch, Roy E. Matsudaira, Paul T. Rajapakse, Jagath Background: Essential events of cell development and homeostasis are revealed by the associated changes of cell morphology and therefore have been widely used as a key indicator of physiological states and molecular pathways affecting various cellular functions via cytoskeleton. Cell motility is a complex phenomenon primarily driven by the actin network, which plays an important role in shaping the morphology of the cells. Most of the morphology based features are approximated from cell periphery but its dynamics have received none to scant attention. We aim to bridge the gap between membrane dynamics and cell states from the perspective of whole cell movement by identifying cell edge patterns and its correlation with cell dynamics. Results: We present a systematic study to extract, classify, and compare cell dynamics in terms of cell motility and edge activity. Cell motility features extracted by fitting a persistent random walk were used to identify the initial set of cell subpopulations. We propose algorithms to extract edge features along the entire cell periphery such as protrusion and retraction velocity. These constitute a unique set of multivariate time-lapse edge features that are then used to profile subclasses of cell dynamics by unsupervised clustering. Conclusions: By comparing membrane dynamic patterns exhibited by each subclass of cells, correlated trends of edge and cell movements were identified. Our findings are consistent with published literature and we also identified that motility patterns are influenced by edge features from initial time points compared to later sampling intervals. 2012-09-18T14:58:38Z 2012-09-18T14:58:38Z 2011-11 Article http://purl.org/eprint/type/JournalArticle 1471-2105 http://hdl.handle.net/1721.1/73033 Veronika, Merlin et al. “Correlation of Cell Membrane Dynamics and Cell Motility.” BMC Bioinformatics 12.Suppl 13 (2011): S19. © 2011 BioMed Central Ltd https://orcid.org/0000-0002-9038-1622 en_US http://dx.doi.org/10.1186/1471-2105-12-s13-s19 BMC Bioinformatics Creative Commons Attribution http://creativecommons.org/licenses/by/2.0 application/pdf Springer (Biomed Central Ltd.) BioMed Central |
| spellingShingle | Veronika, Merlin Welsch, Roy E. Ng, Alvin Matsudaira, Paul T. Rajapakse, Jagath Correlation of cell membrane dynamics and cell motility |
| title | Correlation of cell membrane dynamics and cell motility |
| title_full | Correlation of cell membrane dynamics and cell motility |
| title_fullStr | Correlation of cell membrane dynamics and cell motility |
| title_full_unstemmed | Correlation of cell membrane dynamics and cell motility |
| title_short | Correlation of cell membrane dynamics and cell motility |
| title_sort | correlation of cell membrane dynamics and cell motility |
| url | http://hdl.handle.net/1721.1/73033 https://orcid.org/0000-0002-9038-1622 |
| work_keys_str_mv | AT veronikamerlin correlationofcellmembranedynamicsandcellmotility AT welschroye correlationofcellmembranedynamicsandcellmotility AT ngalvin correlationofcellmembranedynamicsandcellmotility AT matsudairapault correlationofcellmembranedynamicsandcellmotility AT rajapaksejagath correlationofcellmembranedynamicsandcellmotility |