Functional phenotyping of genomic variants using joint multiomic single-cell DNA–RNA sequencing

Genetic variants (both coding and noncoding) can impact gene function and expression, driving disease mechanisms such as cancer progression. The systematic study of endogenous genetic variants is hindered by inefficient precision editing tools, combined with technical limitations in confidently linking genotypes to gene expression at single-cell resolution. We developed single-cell DNA-RNA sequencing (SDR-seq) to simultaneously profile up to 480 genomic DNA loci and genes in thousands of single cells, enabling accurate determination of coding and noncoding variant zygosity alongside associated gene expression changes. Using SDR-seq, we associate coding and noncoding variants with distinct gene expression in human induced pluripotent stem cells. Furthermore, we demonstrate that in primary B cell lymphoma samples, cells with a higher mutational burden exhibit elevated B cell receptor signaling and tumorigenic gene expression. SDR-seq provides a powerful platform to dissect regulatory mechanisms encoded by genetic variants, advancing our understanding of gene expression regulation and its implications for disease.

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Publication Details

Journal
Nature Methods
Published
2025-09-01
DOI
https://doi.org/10.1038/s41592-025-02805-0
Citations
10
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
8.06

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article

Functional phenotyping of genomic variants using joint multiomic single-cell DNA–RNA sequencing

Lars Michael Steinmetz, Donnacha Fitzgerald, Anastasiia Korosteleva, John A. Hawkins et al.
10 citations
Nature Methods
CRISPR and Genetic Engineering
8.06
article

Functional phenotyping of genomic variants using joint multiomic single-cell DNA–RNA sequencing

Lars Michael Steinmetz, Donnacha Fitzgerald, Anastasiia Korosteleva, John A. Hawkins, Moritz Kueblbeck, Wolfgang K. Huber, Judith B. Zaugg, Mikael Marttinen, Sascha Dietrich, Dominik Lindenhofer, Umut Yildiz, Kyung‐Min Noh, Julia Bauman, Oliver Stegle, Hyo Jin Jung
article en
10 citations

Abstract

Genetic variants (both coding and noncoding) can impact gene function and expression, driving disease mechanisms such as cancer progression. The systematic study of endogenous genetic variants is hindered by inefficient precision editing tools, combined with technical limitations in confidently linking genotypes to gene expression at single-cell resolution. We developed single-cell DNA-RNA sequencing (SDR-seq) to simultaneously profile up to 480 genomic DNA loci and genes in thousands of single cells, enabling accurate determination of coding and noncoding variant zygosity alongside associated gene expression changes. Using SDR-seq, we associate coding and noncoding variants with distinct gene expression in human induced pluripotent stem cells. Furthermore, we demonstrate that in primary B cell lymphoma samples, cells with a higher mutational burden exhibit elevated B cell receptor signaling and tumorigenic gene expression. SDR-seq provides a powerful platform to dissect regulatory mechanisms encoded by genetic variants, advancing our understanding of gene expression regulation and its implications for disease.

Nature MethodsVol. 22(10)
European Bioinformatics Institute (GB), Tampere University (FI), German Cancer Research Center (DE), University of Basel (CH), Aarhus University (DK), Heidelberg University (DE), University Hospital Heidelberg (DE), University Hospital of Basel (CH), Düsseldorf University Hospital (DE), German Centre for Cardiovascular Research (DE), Stanford Medicine (US), European Molecular Biology Laboratory (DE), European Molecular Biology Laboratory (DE), Heinrich Heine University Düsseldorf (DE), Stanford University (US)
Human Frontier Science Program
Openalex Percentile: Top 2%
CRISPR and Genetic Engineering
8.06
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