2021
DOI: 10.1093/plphys/kiab478
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Single-cell genomics in plants: current state, future directions, and hurdles to overcome

Abstract: Single-cell genomics has the potential to revolutionize the study of plant development and tissue-specific responses to environmental stimuli by revealing heretofore unknown players and gene regulatory processes. Here, I focus on the current state of single-cell genomics in plants, emerging technologies and applications, in addition to outlining possible future directions for experiments. I describe approaches to enable cheaper and larger experiments and technologies to measure multiple types of molecules to b… Show more

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Cited by 38 publications
(25 citation statements)
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“…These advances have not only expanded our knowledge about plant cell compositions, but also laid the groundwork for PCA construction. One of the major challenges for PCA is to generate a reference cell map that includes all the cell types (or as much as possible) in various tissues (Cuperus, 2022). However, current plant cell atlases are constructed in specific tissues and we still lack of a reference cell map of the entire plant.…”
Section: Discussionmentioning
confidence: 99%
“…These advances have not only expanded our knowledge about plant cell compositions, but also laid the groundwork for PCA construction. One of the major challenges for PCA is to generate a reference cell map that includes all the cell types (or as much as possible) in various tissues (Cuperus, 2022). However, current plant cell atlases are constructed in specific tissues and we still lack of a reference cell map of the entire plant.…”
Section: Discussionmentioning
confidence: 99%
“…The comparison of the transcriptomes of different genotypes from different tissues or cell types at different stages of development and under different environmental conditions allows for the discovery of the genes that control plant traits and has become a key approach in plant biology and the discovery of genes for selection in plant breeding. Single-cell transcriptomics has become a powerful tool for understanding gene expression at the cell and tissue level but has had limited application in plants [71], partly due to the difficulty in isolating specific plant cells without disrupting expression.…”
Section: Transcriptomesmentioning
confidence: 99%
“…The PCA's vision of developing a platform that brings together data at multiple scales, from molecular to cellular to organismal, comes with many challenges. While the vision of a PCA will require a large amount of high quality data from a variety of technologies, studies which generate this data are being performed with rapidly increasing frequency and with ever‐greater data output since the first plant single‐cell studies were published in 2018–2019 (Cole et al, 2021 ; Cuperus, 2021 ). As technology becomes increasingly accessible, we expect that the problem of the PCA will become less about data availability, and more about data analysis, integration, and interpretation.…”
Section: Data Analysis Tools and Annotation Standardsmentioning
confidence: 99%