Related Experiment Video
Updated: Jul 5, 2025
10:00
An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
Published on: May 23, 2018
17.6K
scSNV-seq: high-throughput phenotyping of single nucleotide variants by coupled single-cell genotyping and
Sarah E Cooper1, Matthew A Coelho2,3, Magdalena E Strauss4,5
1Cellular and Gene Editing Research, Wellcome Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK.
Genome Biology
|January 15, 2024
Summary
scSNV-seq enables precise single-cell genetic perturbation screening by coupling genotyping and transcriptomics. This method accurately classifies disease-associated single nucleotide variants (SNVs) by function.
Area of Science:
- Genomics
- Molecular Biology
- Biotechnology
Background:
- CRISPR screens with single-cell transcriptomics offer insights into genetic perturbations.
- Accurate genotype inference from guide RNA alone is a current limitation.
- Understanding single nucleotide variants (SNVs) in disease requires precise genetic perturbation data.
Purpose of the Study:
- To develop a method for simultaneous single-cell genotyping and transcriptomics.
- To overcome limitations in interpreting CRISPR screen data for SNVs.
- To enable high-throughput screening and functional classification of SNVs.
Main Methods:
- Coupling single-cell genotyping with transcriptomic readouts.
- Development and application of the scSNV-seq technique.
- Analysis of variants within the JAK1 gene.
Main Results:
- scSNV-seq enables accurate, high-throughput screening of SNVs.
- The method successfully determined precise genetic perturbations.
- Clinically observed missense variants in JAK1 were functionally classified into benign, loss-of-function, and separation-of-function categories.
Conclusions:
- scSNV-seq is a powerful tool for analyzing SNVs in disease research.
- Accurate genetic perturbation determination is crucial for functional variant classification.
- This technology advances the interpretation of CRISPR screens for genetic variant analysis.
