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dc.contributor.authorBentley, SA
dc.contributor.authorLaeverenz-Schlogelhofer, H
dc.contributor.authorAnagnostidis, V
dc.contributor.authorCammann, J
dc.contributor.authorMazza, MG
dc.contributor.authorGielen, F
dc.contributor.authorWan, KY
dc.date.accessioned2023-02-01T11:12:54Z
dc.date.issued2022-11-23
dc.date.updated2023-02-01T11:02:03Z
dc.description.abstractThe 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.en_GB
dc.description.sponsorshipEuropean Commissionen_GB
dc.description.sponsorshipAcademy of Medical Sciencesen_GB
dc.description.sponsorshipBiotechnology and Biological Sciences Research Councilen_GB
dc.format.extente76519-
dc.format.mediumElectronic
dc.identifier.citationVol. 11, article e76519en_GB
dc.identifier.doihttps://doi.org/10.7554/eLife.76519
dc.identifier.grantnumber853560en_GB
dc.identifier.grantnumberSBF003\1160en_GB
dc.identifier.grantnumberBB/T011777/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/132387
dc.identifierORCID: 0000-0003-0604-7224 (Gielen, Fabrice)
dc.identifierORCID: 0000-0002-0291-328X (Wan, Kirsty Y)
dc.language.isoenen_GB
dc.publishereLife Sciences Publicationsen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/36416411en_GB
dc.relation.urlhttps://doi.org/10.5281/zenodo.7226288en_GB
dc.rightsCopyright Bentley, LaeverenzSchlogelhofer et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.en_GB
dc.subjectalgaeen_GB
dc.subjectchlamydomonas reinhardtiien_GB
dc.subjectciliaen_GB
dc.subjectmicrofluidicsen_GB
dc.subjectmicroswimmeren_GB
dc.subjectmotilityen_GB
dc.subjectphysics of living systemsen_GB
dc.subjectsingle cellen_GB
dc.titlePhenotyping single-cell motility in microfluidic confinement.en_GB
dc.typeArticleen_GB
dc.date.available2023-02-01T11:12:54Z
dc.identifier.issn2050-084X
exeter.place-of-publicationEngland
dc.descriptionThis is the final version. Available from eLife Sciences Publications via the DOI in this record. en_GB
dc.descriptionData availability: New data and analysis codes generated as part of this study are available for download from Zenodo. The dataset includes all raw cell trajectories and motility states, as well as analysis and simulation codes. The following data sets were generated: Bentley SALaeverenz-Schlogelhofer HAnagnostidis VCammann JMazza MGGielen FWan KY (2022) Zenodo Dataset for: Phenotyping single-cell motility in microfluidic confinement. https://doi.org/10.5281/zenodo.7226288en_GB
dc.identifier.journaleLifeen_GB
dc.relation.ispartofElife, 11
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-10-13
dc.rights.licenseCC BY
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-11-23
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-02-01T11:09:32Z
refterms.versionFCDVoR
refterms.dateFOA2023-02-01T11:12:55Z
refterms.panelBen_GB
refterms.dateFirstOnline2022-11-23


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Copyright Bentley, LaeverenzSchlogelhofer et al. This article
is distributed under the terms
of the Creative Commons
Attribution License, which
permits unrestricted use and
redistribution provided that the
original author and source are
credited.
Except where otherwise noted, this item's licence is described as Copyright Bentley, LaeverenzSchlogelhofer et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.