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Single‐cell proteomics differentiates Arabidopsis root cell types
New Phytologist ( IF 8.3 ) Pub Date : 2024-06-24 , DOI: 10.1111/nph.19923
Christian Montes 1 , Jingyuan Zhang 2 , Trevor M Nolan 2, 3 , Justin W Walley 1
Affiliation  

Summary Single‐cell proteomics (SCP) is an emerging approach to resolve cellular heterogeneity within complex tissues of multi‐cellular organisms. Here, we demonstrate the feasibility of SCP on plant samples using the model plant Arabidopsis thaliana. Specifically, we focused on examining isolated single cells from the cortex and endodermis, which are two adjacent root cell types derived from a common stem cell lineage. From 756 root cells, we identified 3763 proteins and 1118 proteins/cell. Ultimately, we focus on 3217 proteins quantified following stringent filtering. Of these, we identified 596 proteins whose expression is enriched in either the cortex or endodermis and are able to differentiate these closely related plant cell types. Collectivity, this study demonstrates that SCP can resolve neighboring cell types with distinct functions, thereby facilitating the identification of biomarkers and candidate proteins to enable functional genomics.

中文翻译:


单细胞蛋白质组学区分拟南芥根细胞类型



摘要 单细胞蛋白质组学(SCP)是一种解决多细胞生物复杂组织内细胞异质性的新兴方法。在这里,我们使用模型植物拟南芥展示了 SCP 在植物样本上的可行性。具体来说,我们重点检查来自皮层和内皮层的分离单细胞,它们是源自共同干细胞谱系的两种相邻的根细胞类型。从 756 个根细胞中,我们鉴定了 3763 个蛋白质和每个细胞 1118 个蛋白质。最终,我们重点关注经过严格过滤后定量的 3217 种蛋白质。其中,我们鉴定了 596 种蛋白质,其表达在皮质或内皮层中富集,并且能够区分这些密切相关的植物细胞类型。总的来说,这项研究表明 SCP 可以解析具有不同功能的邻近细胞类型,从而促进生物标志物和候选蛋白质的识别,从而实现功能基因组学。
更新日期:2024-06-24
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