Publication:
An image-guided microfluidic system for single-cell lineage tracking

dc.contributor.coauthorKamil, Mahmut Aslan
dc.contributor.coauthorFourneaux, Camille
dc.contributor.coauthorStavros, Stavrakis
dc.contributor.coauthorParmentier, Romuald J.
dc.contributor.coauthorPaldi, Andras
dc.contributor.coauthorGonin-Giraud, Sandrine
dc.contributor.coauthordeMello, Andrew
dc.contributor.coauthorGandrillon, Olivier
dc.contributor.kuauthorYılmaz, Alperen
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.date.accessioned2024-12-29T09:41:09Z
dc.date.issued2023
dc.description.abstractCell lineage tracking is a long-standing and unresolved problem in biology. Microfluidic technologies have the potential to address this problem, by virtue of their ability to manipulate and process single-cells in a rapid, controllable and efficient manner. Indeed, when coupled with traditional imaging approaches, microfluidic systems allow the experimentalist to follow single-cell divisions over time. Herein, we present a valve-based microfluidic system able to probe the decision-making processes of single-cells, by tracking their lineage over multiple generations. The system operates by trapping single-cells within growth chambers, allowing the trapped cells to grow and divide, isolating sister cells after a user-defined number of divisions and finally extracting them for downstream transcriptome analysis. The platform incorporates multiple cell manipulation operations, image processing-based automation for cell loading and growth monitoring, reagent addition and device washing. To demonstrate the efficacy of the microfluidic workflow, 6C2 (chicken erythroleukemia) and T2EC (primary chicken erythrocytic progenitors) cells are tracked inside the microfluidic device over two generations, with a cell viability rate in excess of 90%. Sister cells are successfully isolated after division and extracted within a 500 nL volume, which was demonstrated to be compatible with downstream single-cell RNA sequencing analysis.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue8
dc.description.openaccessGreen Published, Green Submitted, gold
dc.description.publisherscopeInternational
dc.description.sponsorsWe thank the computational center of IN2P3 (Villeurbanne/France) and Pole Scientifique de Modelisation Numerique (PSMN, Ecole Normale Superieure de Lyon) where computations were performed. We acknowledge the contribution of the AniRA-Cytometrie core facility of SFR BioSciences (UAR3444/US8). We thank the BioSyL Federation and the LabEx Ecofect (ANR-11-LABX-0048) of the University of Lyon for inspiring scientific events.
dc.description.volume18
dc.identifier.doi10.1371/journal.pone.0288655
dc.identifier.issn1932-6203
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85166049123
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0288655
dc.identifier.urihttps://hdl.handle.net/20.500.14288/23555
dc.identifier.wos1041953300031
dc.keywordsGene-expression
dc.keywordsReveals
dc.languageen
dc.publisherPublic Library Science
dc.relation.grantnoFrench agency ANR [ANR-17-CE12-0031]
dc.sourcePlos One
dc.subjectMultidisciplinary sciences
dc.titleAn image-guided microfluidic system for single-cell lineage tracking
dc.typeJournal article
dspace.entity.typePublication
local.contributor.kuauthorYılmaz, Alperen

Files