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An image-guided microfluidic system for single-cell lineage tracking
Cell 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 ima...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393162/ https://www.ncbi.nlm.nih.gov/pubmed/37527253 http://dx.doi.org/10.1371/journal.pone.0288655 |
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author | Aslan Kamil, Mahmut Fourneaux, Camille Yilmaz, Alperen Stavros, Stavrakis Parmentier, Romuald Paldi, Andras Gonin-Giraud, Sandrine deMello, Andrew J. Gandrillon, Olivier |
author_facet | Aslan Kamil, Mahmut Fourneaux, Camille Yilmaz, Alperen Stavros, Stavrakis Parmentier, Romuald Paldi, Andras Gonin-Giraud, Sandrine deMello, Andrew J. Gandrillon, Olivier |
author_sort | Aslan Kamil, Mahmut |
collection | PubMed |
description | Cell 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. |
format | Online Article Text |
id | pubmed-10393162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-103931622023-08-02 An image-guided microfluidic system for single-cell lineage tracking Aslan Kamil, Mahmut Fourneaux, Camille Yilmaz, Alperen Stavros, Stavrakis Parmentier, Romuald Paldi, Andras Gonin-Giraud, Sandrine deMello, Andrew J. Gandrillon, Olivier PLoS One Research Article Cell 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. Public Library of Science 2023-08-01 /pmc/articles/PMC10393162/ /pubmed/37527253 http://dx.doi.org/10.1371/journal.pone.0288655 Text en © 2023 Aslan Kamil et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Aslan Kamil, Mahmut Fourneaux, Camille Yilmaz, Alperen Stavros, Stavrakis Parmentier, Romuald Paldi, Andras Gonin-Giraud, Sandrine deMello, Andrew J. Gandrillon, Olivier An image-guided microfluidic system for single-cell lineage tracking |
title | An image-guided microfluidic system for single-cell lineage tracking |
title_full | An image-guided microfluidic system for single-cell lineage tracking |
title_fullStr | An image-guided microfluidic system for single-cell lineage tracking |
title_full_unstemmed | An image-guided microfluidic system for single-cell lineage tracking |
title_short | An image-guided microfluidic system for single-cell lineage tracking |
title_sort | image-guided microfluidic system for single-cell lineage tracking |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393162/ https://www.ncbi.nlm.nih.gov/pubmed/37527253 http://dx.doi.org/10.1371/journal.pone.0288655 |
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