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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 1, 2025

Live-Cell Imaging of Transcriptional Activity at DNA Double-Strand Breaks

Live-Cell Imaging of Transcriptional Activity at DNA Double-Strand Breaks

Published on: September 20, 2021

Live-seq enables temporal transcriptomic recording of single cells.

Wanze Chen^1,2,3, Orane Guillaume-Gentil⁴, Pernille Yde Rainer^1,2

¹Laboratory of Systems Biology and Genetics, Institute of Bio-engineering and Global Health Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.

|August 17, 2022

Summary

Live-seq enables single-cell transcriptome profiling while preserving cell viability. This innovative method allows tracking cellular behavior over time, transforming single-cell RNA sequencing into a temporal analysis approach.

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Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Related Experiment Videos

Last Updated: Sep 1, 2025

Live-Cell Imaging of Transcriptional Activity at DNA Double-Strand Breaks

Live-Cell Imaging of Transcriptional Activity at DNA Double-Strand Breaks

Published on: September 20, 2021

Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations

Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations

Published on: December 16, 2017

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Area of Science:

Molecular Biology
Genomics
Cell Biology

Background:

Single-cell RNA sequencing (scRNA-seq) is crucial for understanding cellular heterogeneity.
Current scRNA-seq methods lyse cells, preventing subsequent analyses on the same cells.

Purpose of the Study:

To develop a single-cell transcriptome profiling method that preserves cell viability.
To enable coupling of a cell's transcriptome with its downstream molecular and phenotypic behavior.

Main Methods:

Live-seq utilizes fluidic force microscopy for RNA extraction, maintaining cell viability.
Benchmarking involved assessing cell growth, functional responses, and transcriptome readouts.
Proof-of-concept studies included sequential profiling of macrophages and adipose stromal cells, and transcriptomic recording.

Main Results:

Live-seq accurately stratifies diverse cell types and states with minimal cellular perturbation.
Demonstrated sequential mapping of macrophage and adipose stromal cell trajectories post-stimulation/differentiation.
Identified basal Nfkbia expression and cell cycle state as key determinants of macrophage LPS response heterogeneity.

Conclusions:

Live-seq transforms scRNA-seq from an endpoint analysis to a temporal analysis approach.
This method allows for direct coupling of transcriptome data with downstream cellular behavior.
Live-seq opens new avenues for studying dynamic cellular processes and responses.