Title |
Membrane Flow Drives an Adhesion-Independent Amoeboid Cell Migration Mode
|
---|---|
Published in |
Developmental Cell, June 2018
|
DOI | 10.1016/j.devcel.2018.05.029 |
Pubmed ID | |
Authors |
Patrick R. O'Neill, Jean A. Castillo-Badillo, Xenia Meshik, Vani Kalyanaraman, Krystal Melgarejo, N. Gautam |
Abstract |
Cells migrate by applying rearward forces against extracellular media. It is unclear how this is achieved in amoeboid migration, which lacks adhesions typical of lamellipodia-driven mesenchymal migration. To address this question, we developed optogenetically controlled models of lamellipodia-driven and amoeboid migration. On a two-dimensional surface, migration speeds in both modes were similar. However, when suspended in liquid, only amoeboid cells exhibited rapid migration accompanied by rearward membrane flow. These cells exhibited increased endocytosis at the back and membrane trafficking from back to front. Genetic or pharmacological perturbation of this polarized trafficking inhibited migration. The ratio of cell migration and membrane flow speeds matched the predicted value from a model where viscous forces tangential to the cell-liquid interface propel the cell forward. Since this mechanism does not require specific molecular interactions with the surrounding medium, it can facilitate amoeboid migration observed in diverse microenvironments during immune function and cancer metastasis. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Iran, Islamic Republic of | 1 | 13% |
Canada | 1 | 13% |
United Kingdom | 1 | 13% |
Unknown | 5 | 63% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 6 | 75% |
Scientists | 2 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 193 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 47 | 24% |
Researcher | 34 | 18% |
Student > Master | 17 | 9% |
Student > Bachelor | 17 | 9% |
Student > Doctoral Student | 11 | 6% |
Other | 22 | 11% |
Unknown | 45 | 23% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 52 | 27% |
Agricultural and Biological Sciences | 37 | 19% |
Physics and Astronomy | 14 | 7% |
Engineering | 8 | 4% |
Immunology and Microbiology | 6 | 3% |
Other | 21 | 11% |
Unknown | 55 | 28% |