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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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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. |
format | Online Article Text |
id | pubmed-9014886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
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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