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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....

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Autores principales: Zheng, Xuan, Betjes, Max A., Ender, Pascal, Goos, Yvonne J., Huelsz-Prince, Guizela, Clevers, Hans, van Zon, Jeroen S., Tans, Sander J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
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.
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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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