原生质体
生物
拟南芥
转录组
细胞
细胞壁
细胞生物学
核糖核酸
单细胞分析
人口
电池类型
植物细胞
RNA提取
基因
计算生物学
基因表达
遗传学
人口学
社会学
突变体
作者
Daniel Conde,Paolo M. Triozzi,Kelly M. Balmant,Andria Doty,Mariza Abreu Miranda,Anthony Boullosa,Henry W. Schmidt,Wendell J. Pereira,Christopher Dervinis,Matias Kirst
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2021-05-11
卷期号:16 (5): e0251149-e0251149
被引量:50
标识
DOI:10.1371/journal.pone.0251149
摘要
Single-cell transcriptome analysis has been extensively applied in humans and animal models to uncover gene expression heterogeneity between the different cell types of a tissue or an organ. It demonstrated its capability to discover key regulatory elements that determine cell fate during developmental programs. Single-cell analysis requires the isolation and labeling of the messenger RNA (mRNA) derived from each cell. These challenges were primarily addressed in mammals by developing microfluidic-based approaches. For plant species whose cells contain cell walls, these approaches have generally required the generation of isolated protoplasts. Many plant tissues' secondary cell wall hinders enzymatic digestion required for individual protoplast isolation, resulting in an unequal representation of cell types in a protoplast population. This limitation is especially critical for cell types located in the inner layers of a tissue or the inner tissues of an organ. Consequently, single-cell RNA sequencing (scRNA-seq) studies using microfluidic approaches in plants have mainly been restricted to Arabidopsis roots, for which well-established procedures of protoplast isolation are available. Here we present a simple alternative approach to generating high-quality protoplasts from plant tissue by characterizing the mRNA extracted from individual nuclei instead of whole cells. We developed the protocol using two different plant materials with varying cellular complexity levels and cell wall structure, Populus shoot apices, and more lignified stems. Using the 10× Genomics Chromium technology, we show that this procedure results in intact mRNA isolation and limited leakage, with a broad representation of individual cell transcriptomes.
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