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Organoid cell fate dynamics in space and time
Organoids are a major new tool to study tissue renewal. However, characterizing the underlying differentiation dynamics remains challenging. Here, we developed TypeTracker, which identifies cell fates by AI-enabled cell tracking and propagating end point fates back along the branched lineage trees....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10438469/ https://www.ncbi.nlm.nih.gov/pubmed/37595032 http://dx.doi.org/10.1126/sciadv.add6480 |
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author | Zheng, Xuan Betjes, Max A. Ender, Pascal Goos, Yvonne J. Huelsz-Prince, Guizela Clevers, Hans van Zon, Jeroen S. Tans, Sander J. |
author_facet | Zheng, Xuan Betjes, Max A. Ender, Pascal Goos, Yvonne J. Huelsz-Prince, Guizela Clevers, Hans van Zon, Jeroen S. Tans, Sander J. |
author_sort | Zheng, Xuan |
collection | PubMed |
description | Organoids are a major new tool to study tissue renewal. However, characterizing the underlying differentiation dynamics remains challenging. Here, we developed TypeTracker, which identifies cell fates by AI-enabled cell tracking and propagating end point fates back along the branched lineage trees. Cells that ultimately migrate to the villus commit to their new type early, when still deep inside the crypt, with important consequences: (i) Secretory cells commit before terminal division, with secretory fates emerging symmetrically in sister cells. (ii) Different secretory types descend from distinct stem cell lineages rather than an omnipotent secretory progenitor. (iii) The ratio between secretory and absorptive cells is strongly affected by proliferation after commitment. (iv) Spatial patterning occurs after commitment through type-dependent cell rearrangements. This “commit-then-sort” model contrasts with the conventional conveyor belt picture, where cells differentiate by moving up the crypt-villus axis and hence raises new questions about the underlying commitment and sorting mechanisms. |
format | Online Article Text |
id | pubmed-10438469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-104384692023-08-19 Organoid cell fate dynamics in space and time Zheng, Xuan Betjes, Max A. Ender, Pascal Goos, Yvonne J. Huelsz-Prince, Guizela Clevers, Hans van Zon, Jeroen S. Tans, Sander J. Sci Adv Biomedicine and Life Sciences Organoids are a major new tool to study tissue renewal. However, characterizing the underlying differentiation dynamics remains challenging. Here, we developed TypeTracker, which identifies cell fates by AI-enabled cell tracking and propagating end point fates back along the branched lineage trees. Cells that ultimately migrate to the villus commit to their new type early, when still deep inside the crypt, with important consequences: (i) Secretory cells commit before terminal division, with secretory fates emerging symmetrically in sister cells. (ii) Different secretory types descend from distinct stem cell lineages rather than an omnipotent secretory progenitor. (iii) The ratio between secretory and absorptive cells is strongly affected by proliferation after commitment. (iv) Spatial patterning occurs after commitment through type-dependent cell rearrangements. This “commit-then-sort” model contrasts with the conventional conveyor belt picture, where cells differentiate by moving up the crypt-villus axis and hence raises new questions about the underlying commitment and sorting mechanisms. American Association for the Advancement of Science 2023-08-18 /pmc/articles/PMC10438469/ /pubmed/37595032 http://dx.doi.org/10.1126/sciadv.add6480 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). 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 work is properly cited. |
spellingShingle | Biomedicine and Life Sciences Zheng, Xuan Betjes, Max A. Ender, Pascal Goos, Yvonne J. Huelsz-Prince, Guizela Clevers, Hans van Zon, Jeroen S. Tans, Sander J. Organoid cell fate dynamics in space and time |
title | Organoid cell fate dynamics in space and time |
title_full | Organoid cell fate dynamics in space and time |
title_fullStr | Organoid cell fate dynamics in space and time |
title_full_unstemmed | Organoid cell fate dynamics in space and time |
title_short | Organoid cell fate dynamics in space and time |
title_sort | organoid cell fate dynamics in space and time |
topic | Biomedicine and Life Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10438469/ https://www.ncbi.nlm.nih.gov/pubmed/37595032 http://dx.doi.org/10.1126/sciadv.add6480 |
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