Related Experiment Video
Updated: Dec 7, 2025

09:36
Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
Published on: July 2, 2016
17.5K
Fixed single-cell RNA sequencing for understanding virus infection and host response
Hoang Van Phan1,2, Michiel van Gent3,4, Nir Drayman1,2
1Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, USA.
Biorxiv : the Preprint Server for Biology
|September 30, 2020
Summary
A new method, FD-seq, enables high-throughput RNA sequencing of fixed single cells, overcoming limitations in studying rare cell populations and infectious pathogens. This technique preserves mRNA integrity and enhances gene detection compared to existing methods.
Area of Science:
- Molecular Biology
- Virology
- Genomics
Background:
- Current single-cell RNA sequencing (scRNA-seq) methods are incompatible with paraformaldehyde (PFA) fixation.
- PFA fixation is crucial for intracellular protein staining, rare cell sorting, and inactivation of infectious pathogens.
- This incompatibility limits scRNA-seq applications in critical research areas.
Conclusions:
- FD-seq overcomes major limitations in single-cell transcriptomics by enabling PFA fixation.
- The method allows for the integration of phenotypic and transcriptomic data in rare cell populations.
- FD-seq facilitates safe handling and analysis of infectious pathogens, expanding research possibilities in virology and beyond.
Related Concept Videos
RNA-seq
11.3K
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...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
11.3K
Viruses with RNA Genomes
514
RNA viruses are categorized into positive-strand, negative-strand, or double-stranded groups based on their genomic structure and replication mechanisms. This classification dictates how they exploit host cellular machinery for protein synthesis and replication. Some RNA viruses also utilize reverse transcription as part of their life cycle, further diversifying their replication strategies.Positive-Strand RNA VirusesPositive-strand RNA viruses have genomes that function directly as messenger...
514

