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Nucleic Acids Res. 2019 May 21;47(9):4539-4553. doi: 10.1093/nar/gkz181.

Single-cell transcriptome analysis of Physcomitrella leaf cells during reprogramming using microcapillary manipulation.

Author information

1
Institute for Research Initiative, Nara Institute of Science and Technology, Ikoma 630-0192, Japan.
2
Advanced Science Research Center, Kanazawa University, Kanazawa 920-0934, Japan.
3
National Institute for Basic Biology, Okazaki 444-8585, Japan.
4
School of Life Science, The Graduate University for Advanced Studies, Okazaki 444-8585, Japan.
5
Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma 630-0192, Japan.
6
Faculty of Life Sciences, Hiroshima Institute of Technology, Hiroshima 731-5193, Japan.
7
Plant Biotechnology, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany.
8
Signaling Research Centres BIOSS and CIBSS, University of Freiburg, 79104 Freiburg, Germany.

Abstract

Next-generation sequencing technologies have made it possible to carry out transcriptome analysis at the single-cell level. Single-cell RNA-sequencing (scRNA-seq) data provide insights into cellular dynamics, including intercellular heterogeneity as well as inter- and intra-cellular fluctuations in gene expression that cannot be studied using populations of cells. The utilization of scRNA-seq is, however, restricted to cell types that can be isolated from their original tissues, and it can be difficult to obtain precise positional information for these cells in situ. Here, we established single cell-digital gene expression (1cell-DGE), a method of scRNA-seq that uses micromanipulation to extract the contents of individual living cells in intact tissue while recording their positional information. With 1cell-DGE, we could detect differentially expressed genes (DEGs) during the reprogramming of leaf cells of the moss Physcomitrella patens, identifying 6382 DEGs between cells at 0 and 24 h after excision. Furthermore, we identified a subpopulation of reprogramming cells based on their pseudotimes, which were calculated using transcriptome profiles at 24 h. 1cell-DGE with microcapillary manipulation can be used to analyze the gene expression of individual cells without detaching them from their tightly associated tissues, enabling us to retain positional information and investigate cell-cell interactions.

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