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RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

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Related Experiment Video

Updated: Aug 18, 2025

Isolation of Adult Spinal Cord Nuclei for Massively Parallel Single-nucleus RNA Sequencing

Isolation of Adult Spinal Cord Nuclei for Massively Parallel Single-nucleus RNA Sequencing

Published on: October 12, 2018

Plant Single-Cell/Nucleus RNA-seq Workflow.

Sandra Thibivilliers¹, Andrew Farmer², Susan Schroeder^3,4

¹Center for Plant Science Innovation, University of Nebraska-Lincoln, Beadle Center, Lincoln, NE, USA.

Methods in Molecular Biology (Clifton, N.J.)

|December 10, 2022

Summary

This summary is machine-generated.

Single-cell transcriptomics reveals plant cell functions and responses. This chapter guides experimental design and bioinformatics for analyzing plant single-cell RNA sequencing data.

Keywords:

Plant Protoplasts Single-cell RNA-seq Single-cell transcriptomics Single-nucleus RNA-seq

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Last Updated: Aug 18, 2025

Isolation of Adult Spinal Cord Nuclei for Massively Parallel Single-nucleus RNA Sequencing

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Published on: October 12, 2018

Isolation of Nuclei from Flash-Frozen Liver Tissue for Single-Cell Multiomics

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Nuclei Isolation from Whole Tissue using a Detergent and Enzyme-Free Method

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Area of Science:

Plant Biology
Genomics
Molecular Biology

Background:

Single-cell transcriptomics enables the study of differential gene usage in complex organisms.
Recent applications in plant biology have uncovered transcriptomes of diverse plant cells.
These studies highlight the potential for understanding plant cell functions and responses.

Purpose of the Study:

To provide guidance on experimental design for plant single-cell biology.
To review current bioinformatics tools for analyzing single-cell RNA-seq data.
To discuss emerging technologies like spatial and long-read sequencing.

Main Methods:

Application of single-cell transcriptomics to plant cells from various species and organs.
Analysis of plant cell transcriptomes under different environmental conditions.
Bioinformatic analysis of single-cell RNA sequencing datasets.

Main Results:

Demonstration of single-cell transcriptomics' potential in plant science.
Identification of cell-type-specific gene networks and developmental programs.
Insights into plant cell responses to environmental stresses.

Conclusions:

Single-cell transcriptomics is a powerful tool for deciphering plant cell biology.
Careful experimental design and bioinformatics are crucial for successful analysis.
Emerging technologies will further enhance our understanding of plant genomes.