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Related Experiment Video

Updated: Jun 25, 2026

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Single-Cell Transcriptomics Applied in Plants.

Yanyan Sun¹, Jian Sun², Chunjing Lin^1,3

¹Soybean Research Institute, Jilin Academy of Agricultural Sciences, Changchun 130033, China.

|September 27, 2024

Summary

This summary is machine-generated.

Single-cell RNA sequencing (scRNA-seq) offers a powerful way to study plant cells. This review explores scRNA-seq applications in plants, identifies useful databases, and discusses future research directions.

Keywords:

crops databases model plants single-cell RNA sequencing wood

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Isolation and Transcriptome Analysis of Plant Cell Types

Isolation and Transcriptome Analysis of Plant Cell Types

Published on: April 7, 2023

Area of Science:

Plant biology
Genomics
Molecular biology

Background:

Single-cell RNA sequencing (scRNA-seq) revolutionizes biological system analysis by enabling individual cell expression profiling.
Despite its impact, the full potential of scRNA-seq in plant science remains underexplored.

Purpose of the Study:

To comprehensively review significant scRNA-seq findings and applications in plant tissues.
To identify resources for marker gene discovery and analyze challenges for future plant research.

Main Methods:

Literature review of recent scRNA-seq studies in plant science.
Focus on applications in model plants, crops, and wood.
Identification of relevant databases for cell-type specific gene expression analysis.

Main Results:

Compilation of key scRNA-seq advancements and applications in diverse plant systems.
Introduction of five databases aiding in the identification of distinct cell type marker genes.
Analysis of current challenges and future prospects for scRNA-seq in plant research.

Conclusions:

scRNA-seq holds significant promise for advancing plant biology research.
Addressing identified challenges will be crucial for maximizing the technique's utility in plants.
This review provides a foundation for future scRNA-seq applications in plant science.