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Updated: Jul 19, 2025

Isolation and Transcriptome Analysis of Plant Cell Types

Isolation and Transcriptome Analysis of Plant Cell Types

Published on: April 7, 2023

Deciphering plant cell-cell communications using single-cell omics data.

Jingjing Jin¹, Shizhou Yu², Peng Lu¹

¹China Tobacco Gene Research Center, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou 450001, China.

Computational and Structural Biotechnology Journal

|August 14, 2023

Summary

This summary is machine-generated.

Single-cell technologies enable detailed plant cell-cell communication (CCC) network construction. This review explores computational tools and methods for inferring plant CCC, highlighting current limitations and future research directions.

Keywords:

Cell-cell communication Omics Plant Single-cell

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Published on: April 25, 2011

Area of Science:

Plant biology
Computational biology
Genomics

Background:

Plants possess diverse cell types that respond to environmental cues through intricate cell-cell communication (CCC).
Single-cell technologies offer unprecedented resolution for dissecting cellular heterogeneity and intercellular signaling pathways in plants.
Understanding plant CCC is crucial for comprehending their adaptive responses to environmental changes.

Purpose of the Study:

To review major computational models for inferring cell-cell communication networks in plants.
To summarize existing computational tools applicable to plant single-cell omics data for CCC analysis.
To identify limitations in current plant CCC research and propose future research avenues.

Main Methods:

Review of computational models for cell-cell communication inference.
Summary of computational tools utilizing single-cell omics datasets.
Analysis of existing literature on plant cell-cell communication.

Main Results:

Successful application of computational methods, primarily developed for animals, to infer plant CCC networks.
Identification of various computational tools and algorithms suitable for analyzing plant single-cell omics data.
Highlighting the potential of single-cell omics to build comprehensive plant CCC networks.

Conclusions:

Computational approaches are vital for deciphering plant cell-cell communication networks using single-cell data.
Further development and application of these tools are needed to overcome current limitations in plant CCC research.
Future research should focus on expanding the scope and accuracy of plant CCC inference for a deeper understanding of plant biology.