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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 23, 2025

Isolating, Sequencing and Analyzing Extracellular MicroRNAs from Human Mesenchymal Stem Cells

Isolating, Sequencing and Analyzing Extracellular MicroRNAs from Human Mesenchymal Stem Cells

Published on: March 8, 2019

Cell-Free RNA Sequencing from Biofluid Samples.

Lili Zhang¹, Xingyu Liu¹, Chen Wang¹

¹Genesis, Beijing, China.

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

|July 14, 2023

Summary

This summary is machine-generated.

This study presents an optimized protocol for detecting cell-free RNA (cfRNA) using next-generation sequencing (NGS). This method enhances the potential of cfRNA as a promising biomarker for disease detection, even with limited sample amounts.

Keywords:

Liquid biopsy Low-abundant RNA library construction cfRNA biomarkers cfRNA sequencing

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Area of Science:

Biomolecular analysis
Molecular diagnostics

Background:

Liquid biopsies offer advantages over invasive procedures.
Cell-free DNA (cfDNA) is established in diagnostics.
Cell-free RNA (cfRNA) shows diagnostic potential despite instability.

Purpose of the Study:

To introduce a modified protocol for cfRNA detection.
To optimize next-generation sequencing (NGS) for cfRNA analysis.
To enable cfRNA detection from low-input, fragmented samples.

Main Methods:

Development of a modified cfRNA detection protocol.
Application of next-generation sequencing (NGS) technology.
Optimization for handling low-input and fragmented cfRNA.

Main Results:

A functional protocol for cfRNA detection via NGS was established.
The protocol is optimized for challenging cfRNA sample types.
Demonstrated feasibility of cfRNA analysis with limited starting material.

Conclusions:

The modified NGS protocol facilitates cfRNA detection.
This approach supports the development of cfRNA-based diagnostic assays.
Optimized cfRNA analysis holds promise for future disease detection strategies.