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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: Jul 12, 2025

Isolation and Transcriptome Analysis of Plant Cell Types

Isolation and Transcriptome Analysis of Plant Cell Types

Published on: April 7, 2023

Introducing single cell stereo-sequencing technology to transform the plant transcriptome landscape.

George Bawa¹, Zhixin Liu¹, Xiaole Yu¹

¹National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, 85 Minglun Street, Kaifeng 475001, PR China.

Trends in Plant Science

|November 1, 2023

Summary

Spatial enhanced-resolution omics-sequencing (Stereo-seq) offers high-resolution spatial transcriptomics, overcoming single-cell RNA sequencing limitations. This technology is poised to advance plant biology and crop improvement.

Keywords:

cell subtype identification high-throughput sequencing single-cell RNA sequencing.spatial transcriptomics stereo-sequencing

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Last Updated: Jul 12, 2025

Isolation and Transcriptome Analysis of Plant Cell Types

Isolation and Transcriptome Analysis of Plant Cell Types

Published on: April 7, 2023

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

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Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Published on: August 5, 2020

Area of Science:

Plant biology
Genomics
Molecular biology

Background:

Single cell RNA sequencing (scRNA-seq) reveals transcriptional heterogeneity but lacks spatial resolution.
Current methods struggle to provide high-resolution spatial transcriptome information or identify subcellular organs.

Purpose of the Study:

To review the advantages of spatially enhanced-resolution omics-sequencing (Stereo-seq).
To highlight Stereo-seq's potential to address scRNA-seq limitations.
To discuss the application of integrated omics approaches in plant research.

Main Methods:

Review of Stereo-seq technology and its integration with single-cell transcriptomics.
Discussion of Stereo-seq's capabilities in providing spatial transcriptome information.
Analysis of Stereo-seq's application in plant research.

Main Results:

Stereo-seq provides high-resolution spatial transcriptome information.
Stereo-seq overcomes the limitations of scRNA-seq alone.
The integrated approach advances understanding of biological processes.

Conclusions:

Stereo-seq significantly enhances spatial transcriptomic analysis.
This technology is expected to accelerate plant research and the plant transcriptomics era.
Integration of Stereo-seq will be crucial for future crop improvement strategies.