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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...

Next-generation Sequencing

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....

Sanger Sequencing

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...

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Related Experiment Video

Updated: Jun 25, 2025

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

Advances in single-cell long-read sequencing technologies.

Pallavi Gupta^1,2,3, Hannah O'Neill⁴, Ernst J Wolvetang²

¹University of Queensland - IIT Delhi Research Academy, Hauz Khas, New Delhi 110016, India.

NAR Genomics and Bioinformatics

|May 22, 2024

Summary

This summary is machine-generated.

Long-read sequencing is revolutionizing single-cell analysis, providing detailed RNA isoform and DNA information. This review explores advancements, challenges, and future directions in single-cell RNA isoform sequencing (scRiso-seq) and related technologies.

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Last Updated: Jun 25, 2025

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

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
Transcriptomics
Epigenetics

Background:

Long-read sequencing technologies offer increased accuracy and throughput.
These are increasingly integrated into single-cell sequencing pipelines.
They provide gene expression and RNA isoform-level information.

Purpose of the Study:

To review advancements in single-cell RNA isoform sequencing (scRiso-seq).
To highlight practical considerations and downstream analysis challenges.
To introduce complementary single-cell genome, epigenome, and epitranscriptome sequencing technologies.

Main Methods:

Review of current literature on long-read sequencing in single-cell applications.
Focus on advancements in single-cell RNA isoform sequencing (scRiso-seq).
Discussion of complementary single-cell multi-omics technologies.

Main Results:

Long-read sequencing reveals cell-type specific splicing and cellular complexity.
Single-cell DNA sequencing enables high-quality genome assembly and variant detection.
Significant progress has been made in scRiso-seq, offering new insights.

Conclusions:

Long-read technologies provide unprecedented insights into cellular complexity and potential drug targets.
Addressing downstream analysis challenges is crucial for scRiso-seq.
Future innovations will drive wider biomedical applications.