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Phenotyping single-cell motility in microfluidic confinement
The movement trajectories of organisms serve as dynamic read-outs of their behaviour and physiology. For microorganisms this can be difficult to resolve due to their small size and fast movement. Here, we devise a novel droplet microfluidics assay to encapsulate single micron-sized algae inside clos...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683786/ https://www.ncbi.nlm.nih.gov/pubmed/36416411 http://dx.doi.org/10.7554/eLife.76519 |
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author | Bentley, Samuel A Laeverenz-Schlogelhofer, Hannah Anagnostidis, Vasileios Cammann, Jan Mazza, Marco G Gielen, Fabrice Wan, Kirsty Y |
author_facet | Bentley, Samuel A Laeverenz-Schlogelhofer, Hannah Anagnostidis, Vasileios Cammann, Jan Mazza, Marco G Gielen, Fabrice Wan, Kirsty Y |
author_sort | Bentley, Samuel A |
collection | PubMed |
description | The movement trajectories of organisms serve as dynamic read-outs of their behaviour and physiology. For microorganisms this can be difficult to resolve due to their small size and fast movement. Here, we devise a novel droplet microfluidics assay to encapsulate single micron-sized algae inside closed arenas, enabling ultralong high-speed tracking of the same cell. Comparing two model species - Chlamydomonas reinhardtii (freshwater, 2 cilia), and Pyramimonas octopus (marine, 8 cilia), we detail their highly-stereotyped yet contrasting swimming behaviours and environmental interactions. By measuring the rates and probabilities with which cells transition between a trio of motility states (smooth-forward swimming, quiescence, tumbling or excitable backward swimming), we reconstruct the control network that underlies this gait switching dynamics. A simplified model of cell-roaming in circular confinement reproduces the observed long-term behaviours and spatial fluxes, including novel boundary circulation behaviour. Finally, we establish an assay in which pairs of droplets are fused on demand, one containing a trapped cell with another containing a chemical that perturbs cellular excitability, to reveal how aneural microorganisms adapt their locomotor patterns in real-time. |
format | Online Article Text |
id | pubmed-9683786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-96837862022-11-24 Phenotyping single-cell motility in microfluidic confinement Bentley, Samuel A Laeverenz-Schlogelhofer, Hannah Anagnostidis, Vasileios Cammann, Jan Mazza, Marco G Gielen, Fabrice Wan, Kirsty Y eLife Physics of Living Systems The movement trajectories of organisms serve as dynamic read-outs of their behaviour and physiology. For microorganisms this can be difficult to resolve due to their small size and fast movement. Here, we devise a novel droplet microfluidics assay to encapsulate single micron-sized algae inside closed arenas, enabling ultralong high-speed tracking of the same cell. Comparing two model species - Chlamydomonas reinhardtii (freshwater, 2 cilia), and Pyramimonas octopus (marine, 8 cilia), we detail their highly-stereotyped yet contrasting swimming behaviours and environmental interactions. By measuring the rates and probabilities with which cells transition between a trio of motility states (smooth-forward swimming, quiescence, tumbling or excitable backward swimming), we reconstruct the control network that underlies this gait switching dynamics. A simplified model of cell-roaming in circular confinement reproduces the observed long-term behaviours and spatial fluxes, including novel boundary circulation behaviour. Finally, we establish an assay in which pairs of droplets are fused on demand, one containing a trapped cell with another containing a chemical that perturbs cellular excitability, to reveal how aneural microorganisms adapt their locomotor patterns in real-time. eLife Sciences Publications, Ltd 2022-11-23 /pmc/articles/PMC9683786/ /pubmed/36416411 http://dx.doi.org/10.7554/eLife.76519 Text en © 2022, Bentley, Laeverenz-Schlogelhofer et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Physics of Living Systems Bentley, Samuel A Laeverenz-Schlogelhofer, Hannah Anagnostidis, Vasileios Cammann, Jan Mazza, Marco G Gielen, Fabrice Wan, Kirsty Y Phenotyping single-cell motility in microfluidic confinement |
title | Phenotyping single-cell motility in microfluidic confinement |
title_full | Phenotyping single-cell motility in microfluidic confinement |
title_fullStr | Phenotyping single-cell motility in microfluidic confinement |
title_full_unstemmed | Phenotyping single-cell motility in microfluidic confinement |
title_short | Phenotyping single-cell motility in microfluidic confinement |
title_sort | phenotyping single-cell motility in microfluidic confinement |
topic | Physics of Living Systems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683786/ https://www.ncbi.nlm.nih.gov/pubmed/36416411 http://dx.doi.org/10.7554/eLife.76519 |
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