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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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Updated: Aug 10, 2025

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Long-Read Single-Cell Sequencing Using scCOLOR-seq.

Martin Philpott¹, Udo Oppermann^1,2, Adam P Cribbs^3,4

¹Botnar Research Centre, Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, National Institute of Health Research Oxford Biomedical Research Unit (BRU), University of Oxford, Oxford, UK.

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

|February 13, 2023

Summary

This summary is machine-generated.

This study introduces single-cell Corrected Long-Read sequencing (scCOLOR-seq) for improved accuracy on Oxford Nanopore platforms. scCOLOR-seq enables high-fidelity single-cell genomics using droplet-based methods.

Keywords:

Long-read Oxford Nanopore Sequencing Single-cell

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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Single-cell sequencing enables analysis of individual cells using next-generation sequencing (NGS).
Third-generation sequencing platforms, like Oxford Nanopore, face challenges in single-cell applications due to lower basecalling accuracy.
Accurate single-cell genomic data is crucial for understanding cellular heterogeneity.

Purpose of the Study:

To develop a method for highly accurate single-cell sequencing on Oxford Nanopore platforms.
To overcome the limitations of basecalling accuracy in third-generation single-cell sequencing.
To enable robust long-read single-cell genomic analyses.

Main Methods:

Droplet-based encapsulation of individual cells.
Sequencing using the Oxford Nanopore system.
Development of a single-cell Corrected Long-Read sequencing (scCOLOR-seq) protocol.

Main Results:

Achieved highly accurate single-cell sequencing data.
Demonstrated the feasibility of scCOLOR-seq on the Oxford Nanopore platform.
Enabled reliable long-read sequencing at the single-cell level.

Conclusions:

scCOLOR-seq significantly enhances the accuracy of single-cell sequencing on Oxford Nanopore.
This method opens new possibilities for single-cell genomics research using long-read technologies.
scCOLOR-seq provides a valuable tool for detailed cellular analysis.