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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: Sep 10, 2025

An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus

An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus

Published on: November 30, 2014

An Optimized SPLiT-Seq Protocol for Insects.

Julien Devilliers^1,2, Elena Emili^3,4, Virginia Vanni^3,5

¹Neurogenetics Group, University of Leicester, Leicester, UK.

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

|August 19, 2025

Summary

This summary is machine-generated.

We developed an optimized protocol for single-cell RNA sequencing in insects. This method allows for high-throughput transcriptomic analysis of up to 400,000 cells in a single experiment.

Keywords:

ACME Cell dissociation Insects SPLiT-seq Single-cell transcriptomics

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Area of Science:

Molecular Biology
Genomics
Entomology

Background:

Single-cell RNA sequencing (scRNA-seq) has transformed transcriptomic studies.
Analyzing gene expression at the cellular level is crucial for understanding tissue complexity.

Purpose of the Study:

To introduce an optimized protocol for single-cell RNA sequencing in insects.
To enable high-throughput transcriptomic analysis in insect species.

Main Methods:

Developed an optimized cell dissociation technique.
Implemented a Split Pool Ligation-based Transcriptome sequencing (SPLiT-seq) protocol.

Main Results:

The protocol is suitable for single-cell RNA sequencing in insects.
It allows for the analysis of up to 400,000 cells per experiment.

Conclusions:

The optimized SPLiT-seq protocol provides a powerful tool for insect transcriptomics.
This method facilitates large-scale single-cell gene expression analysis in insects.