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Related Experiment Video

Updated: Jun 8, 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

Lasy-Seq: A High-Throughput 3' RNA-Seq Method for Large-Scale Transcriptome Profiling in Rice.

Natsumi Mori-Moriyama¹, Atsushi J Nagano^2,3

¹Faculty of Agriculture, Ryukoku University, Shiga, Japan.

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

|November 5, 2024

Summary

Lasy-Seq offers a low-cost, easy method for preparing 3' RNA-sequencing libraries. This high-throughput technique simplifies sample indexing and pooling, reducing processing time for hundreds of samples.

Keywords:

3′ RNA-seq High-throughput RNA-seq Large-scale RNA-seq Scalable RNA-seq Transcriptome

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Highly Efficient Ligation of Small RNA Molecules for MicroRNA Quantitation by High-Throughput Sequencing

Published on: November 18, 2014

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Last Updated: Jun 8, 2025

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Highly Efficient Ligation of Small RNA Molecules for MicroRNA Quantitation by High-Throughput Sequencing

Highly Efficient Ligation of Small RNA Molecules for MicroRNA Quantitation by High-Throughput Sequencing

Published on: November 18, 2014

Area of Science:

Molecular Biology
Genomics
Biotechnology

Background:

RNA sequencing (RNA-seq) is crucial for gene expression analysis.
Traditional library preparation methods can be time-consuming and costly.
3' RNA-seq focuses on the 3' end of transcripts, offering a cost-effective approach.

Purpose of the Study:

To introduce Lasy-Seq, a novel, streamlined library preparation method for 3' RNA-seq.
To demonstrate the efficiency and scalability of Lasy-Seq for high-throughput applications.
To reduce the cost and hands-on time associated with RNA-seq library preparation.

Main Methods:

Lasy-Seq utilizes oligo(dT) primers with unique index sequences.
Simultaneous reverse transcription (RT) and sample indexing are performed in a single step.
Post-RT steps are consolidated for pooled samples, eliminating individual processing.

Main Results:

Lasy-Seq enables high-throughput library preparation for 3' RNA-seq.
The method allows for simultaneous RT and sample indexing.
Complex library pools from hundreds of samples can be prepared in days.

Conclusions:

Lasy-Seq significantly simplifies and accelerates the RNA-seq library preparation workflow.
This method is suitable for processing a large number of samples efficiently.
Lasy-Seq presents a cost-effective and easy-to-use alternative for 3' RNA-seq.