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A single cell Arabidopsis root atlas reveals developmental trajectories in wild type and cell identity mutants

In all multicellular organisms, transcriptional networks orchestrate organ development. The Arabidopsis root, with its simple structure and indeterminate growth, is an ideal model to investigate the spatiotemporal transcriptional signatures underlying developmental trajectories. To map gene expressi...

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Autores principales: Shahan, Rachel, Hsu, Che-Wei, Nolan, Trevor M., Cole, Benjamin J., Taylor, Isaiah W., Greenstreet, Laura, Zhang, Stephen, Afanassiev, Anton, Vlot, Anna Hendrika Cornelia, Schiebinger, Geoffrey, Benfey, Philip N., Ohler, Uwe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014886/
https://www.ncbi.nlm.nih.gov/pubmed/35134336
http://dx.doi.org/10.1016/j.devcel.2022.01.008
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author Shahan, Rachel
Hsu, Che-Wei
Nolan, Trevor M.
Cole, Benjamin J.
Taylor, Isaiah W.
Greenstreet, Laura
Zhang, Stephen
Afanassiev, Anton
Vlot, Anna Hendrika Cornelia
Schiebinger, Geoffrey
Benfey, Philip N.
Ohler, Uwe
author_facet Shahan, Rachel
Hsu, Che-Wei
Nolan, Trevor M.
Cole, Benjamin J.
Taylor, Isaiah W.
Greenstreet, Laura
Zhang, Stephen
Afanassiev, Anton
Vlot, Anna Hendrika Cornelia
Schiebinger, Geoffrey
Benfey, Philip N.
Ohler, Uwe
author_sort Shahan, Rachel
collection PubMed
description In all multicellular organisms, transcriptional networks orchestrate organ development. The Arabidopsis root, with its simple structure and indeterminate growth, is an ideal model to investigate the spatiotemporal transcriptional signatures underlying developmental trajectories. To map gene expression dynamics across root cell types and developmental time, we built a comprehensive, organ-scale atlas at single cell resolution. In addition to estimating developmental progressions in pseudotime, we employed the mathematical concept of optimal transport to infer developmental trajectories and identify their underlying regulators. To demonstrate the utility of the atlas to interpret new datasets, we profiled mutants for two key transcriptional regulators at single cell resolution, shortroot and scarecrow. We report transcriptomic and in vivo evidence for tissue trans-differentiation underlying a mixed cell identity phenotype in scarecrow. Our results support the atlas as a rich community resource for unraveling the transcriptional programs that specify and maintain cell identity to regulate spatiotemporal organ development.
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spelling pubmed-90148862022-04-18 A single cell Arabidopsis root atlas reveals developmental trajectories in wild type and cell identity mutants Shahan, Rachel Hsu, Che-Wei Nolan, Trevor M. Cole, Benjamin J. Taylor, Isaiah W. Greenstreet, Laura Zhang, Stephen Afanassiev, Anton Vlot, Anna Hendrika Cornelia Schiebinger, Geoffrey Benfey, Philip N. Ohler, Uwe Dev Cell Article In all multicellular organisms, transcriptional networks orchestrate organ development. The Arabidopsis root, with its simple structure and indeterminate growth, is an ideal model to investigate the spatiotemporal transcriptional signatures underlying developmental trajectories. To map gene expression dynamics across root cell types and developmental time, we built a comprehensive, organ-scale atlas at single cell resolution. In addition to estimating developmental progressions in pseudotime, we employed the mathematical concept of optimal transport to infer developmental trajectories and identify their underlying regulators. To demonstrate the utility of the atlas to interpret new datasets, we profiled mutants for two key transcriptional regulators at single cell resolution, shortroot and scarecrow. We report transcriptomic and in vivo evidence for tissue trans-differentiation underlying a mixed cell identity phenotype in scarecrow. Our results support the atlas as a rich community resource for unraveling the transcriptional programs that specify and maintain cell identity to regulate spatiotemporal organ development. 2022-02-28 2022-02-07 /pmc/articles/PMC9014886/ /pubmed/35134336 http://dx.doi.org/10.1016/j.devcel.2022.01.008 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License, which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Shahan, Rachel
Hsu, Che-Wei
Nolan, Trevor M.
Cole, Benjamin J.
Taylor, Isaiah W.
Greenstreet, Laura
Zhang, Stephen
Afanassiev, Anton
Vlot, Anna Hendrika Cornelia
Schiebinger, Geoffrey
Benfey, Philip N.
Ohler, Uwe
A single cell Arabidopsis root atlas reveals developmental trajectories in wild type and cell identity mutants
title A single cell Arabidopsis root atlas reveals developmental trajectories in wild type and cell identity mutants
title_full A single cell Arabidopsis root atlas reveals developmental trajectories in wild type and cell identity mutants
title_fullStr A single cell Arabidopsis root atlas reveals developmental trajectories in wild type and cell identity mutants
title_full_unstemmed A single cell Arabidopsis root atlas reveals developmental trajectories in wild type and cell identity mutants
title_short A single cell Arabidopsis root atlas reveals developmental trajectories in wild type and cell identity mutants
title_sort single cell arabidopsis root atlas reveals developmental trajectories in wild type and cell identity mutants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014886/
https://www.ncbi.nlm.nih.gov/pubmed/35134336
http://dx.doi.org/10.1016/j.devcel.2022.01.008
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