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一个拟南芥单细胞根系图谱揭示了野生型和细胞身份突变体的发育轨迹。

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

机构信息

Department of Biology, Duke University, Durham, NC 27708, USA.

Department of Biology, Humboldt Universität zu Berlin, 10117 Berlin, Germany; The Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, 10115 Berlin, Germany.

出版信息

Dev Cell. 2022 Feb 28;57(4):543-560.e9. doi: 10.1016/j.devcel.2022.01.008. Epub 2022 Feb 7.

Abstract

In all multicellular organisms, transcriptional networks orchestrate organ development. The Arabidopsis root, with its simple structure and indeterminate growth, is an ideal model for investigating 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.

摘要

在所有多细胞生物中,转录网络协调器官发育。拟南芥根具有简单的结构和不定的生长,是研究发育轨迹背后时空转录特征的理想模型。为了在根细胞类型和发育时间上绘制基因表达动态图谱,我们以单细胞分辨率构建了一个全面的器官尺度图谱。除了估计拟时间上的发育进度外,我们还采用了最优传输的数学概念来推断发育轨迹并识别其潜在的调节因子。为了证明图谱在解释新数据集方面的实用性,我们以单细胞分辨率对两个关键转录调节因子 shortroot 和 scarecrow 的突变体进行了分析。我们报告了 scarecrow 中混合细胞身份表型的组织转分化的转录组和体内证据。我们的结果支持该图谱作为一个丰富的社区资源,用于揭示指定和维持细胞身份以调节时空器官发育的转录程序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c8/9014886/200b24b53444/nihms-1780093-f0002.jpg

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