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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: Feb 23, 2026

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

Complete sequence-based pathway analysis by differential on-chip DNA and RNA extraction from a single cell.

D van Strijp¹, R C M Vulders¹, N A Larsen²

¹Philips Research Laboratories, High Tech Campus 11, 5656 AE, Eindhoven, The Netherlands.

Scientific Reports

|September 10, 2017

Summary

This summary is machine-generated.

This study presents a novel microfluidic chip for simultaneous DNA and RNA extraction from single cells. This method aids in analyzing tumor pathways and mutations in individual cells, valuable for cancer research.

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Last Updated: Feb 23, 2026

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

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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:

Biotechnology
Genomics
Molecular Biology

Background:

Single-cell analysis is crucial for understanding cellular heterogeneity in diseases like cancer.
Current methods for DNA and RNA extraction from single cells can be complex and lead to sample loss.

Purpose of the Study:

To develop and validate an on-chip method for differential DNA and RNA extraction from a single cell.
To enable simultaneous functional and mutational analysis of individual cells for cancer research.

Main Methods:

Utilized a microfluidic chip with a two-stage lysis protocol for simultaneous DNA and RNA extraction.
Applied a Bayesian computational pathway model to RNA sequences for pathway analysis.
Analyzed DNA sequences from the same cell to identify pathway-driving mutations.

Main Results:

Successfully demonstrated on-chip differential DNA and RNA extraction from single cells.
Enabled direct use of whole extracts without washing steps, minimizing sample loss.
Determined tumor-driving pathways and mutations in individual colorectal cancer cells.

Conclusions:

The developed method allows for combined functional and mutational assessment of single cells.
This approach holds significant value for dissecting tumor heterogeneity and analyzing circulating tumor cells.