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

Minoru Kubo1, Tomoaki Nishiyama2, Yosuke Tamada3,4

  • 1Institute for Research Initiative, Nara Institute of Science and Technology, Ikoma 630-0192, Japan.

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|March 16, 2019
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Summary
This summary is machine-generated.

Researchers developed a new single-cell RNA sequencing method to analyze gene expression in intact tissues. This technique preserves cell position, revealing gene changes during plant cell reprogramming.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Plant Science

Background:

  • Single-cell RNA sequencing (scRNA-seq) offers insights into cellular heterogeneity and gene expression dynamics.
  • Current scRNA-seq methods often require cell dissociation, leading to loss of spatial information and potential artifacts.
  • Analyzing cells within their native tissue context is crucial for understanding intercellular communication and complex biological processes.

Purpose of the Study:

  • To establish a novel scRNA-seq method that preserves positional information of individual cells within intact tissues.
  • To investigate gene expression changes during cellular reprogramming in intact plant tissues.
  • To identify cell subpopulations and dynamics based on transcriptome profiles and pseudotime analysis.

Main Methods:

  • Development of single cell-digital gene expression (1cell-DGE) using micromanipulation for extracting cellular contents from intact tissue.
  • Application of 1cell-DGE to analyze gene expression in leaf cells of the moss Physcomitrella patens.
  • Calculation of pseudotimes using transcriptome profiles to identify cell subpopulations during reprogramming.

Main Results:

  • Successfully detected 6382 differentially expressed genes (DEGs) between cells at 0 and 24 hours post-excision.
  • Identified a subpopulation of reprogramming cells based on pseudotime analysis of their transcriptome profiles.
  • Demonstrated the ability to retain positional information and analyze cell-cell interactions in situ.

Conclusions:

  • The 1cell-DGE method enables scRNA-seq analysis of individual cells while preserving their native spatial context.
  • This approach facilitates the study of dynamic gene expression changes and cell-cell interactions in complex tissues.
  • 1cell-DGE provides a powerful tool for uncovering cellular heterogeneity and developmental processes in situ.