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Related Experiment Video

Updated: Dec 19, 2025

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling.

Vito M Butardo¹, Christiane Seiler², Nese Sreenivasulu³

¹Department of Chemistry and Biotechnology, Swinburne University of Technology.

Journal of Visualized Experiments : Jove

|June 9, 2020

Summary

This summary is machine-generated.

This study presents an optimized RNA extraction protocol for cereal grains, crucial for accurate gene expression analysis. The method ensures high-quality RNA, enabling reliable whole transcriptome profiling and downstream bioinformatics applications.

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Last Updated: Dec 19, 2025

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

An Efficient Method for the Isolation of Highly Purified RNA from Seeds for Use in Quantitative Transcriptome Analysis

An Efficient Method for the Isolation of Highly Purified RNA from Seeds for Use in Quantitative Transcriptome Analysis

Published on: January 11, 2017

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
Molecular Biology
Genomics

Background:

High starch and sugar content in cereal seeds impede RNA extraction.
Poor RNA quality and yield negatively impact transcriptomic analysis accuracy.
Accurate gene expression profiling requires high-quality RNA from cereal grains.

Purpose of the Study:

To develop an optimized protocol for extracting high-quality total RNA from cereal grains.
To enable reliable whole transcriptome analysis in developing, germinating, and mature cereal seeds.
To facilitate downstream bioinformatics analyses for gene expression profiling.

Main Methods:

Optimized protocol for total RNA extraction from cereal grains.
Whole transcriptome analysis using a microarray platform.
Detailed procedures including cDNA synthesis, cRNA labeling, hybridization, scanning, and data validation.

Main Results:

Successful extraction of high-quantity and high-quality total RNA from cereal grains.
Demonstration of the protocol's suitability for various downstream transcriptomic applications.
Generation of high-quality transcriptome data for bioinformatics analysis.

Conclusions:

The optimized protocol effectively overcomes challenges in cereal RNA extraction.
This method supports accurate gene expression characterization in cereals under various conditions.
The generated data are amenable for identifying differentially expressed genes and gene regulatory networks.