Single-cell genome and transcriptome sequencing without upfront whole-genome amplification reveals cell state plasticity of melanoma subclones

Single-cell multi-omics methods enable the study of cell state diversity, which is largely determined by the interplay of the genome, epigenome, and transcriptome. Here, we describe Gtag&T-seq, a genome-and-transcriptome sequencing (G&T-seq) protocol of the same single cells that omits whole-genome amplification (WGA) by using direct genomic tagmentation (Gtag). Gtag drastically decreases the cost and improves coverage uniformity at single-cell and pseudo-bulk levels compared to WGA-based G&T-seq. We also show that transcriptome-based DNA copy number inference has limited resolution and accuracy, underlining the importance of affordable multi-omic approaches. Applying Gtag&T-seq to a melanoma xenograft model before treatment and at minimal residual disease revealed differential cell state plasticity and treatment response between cancer subclones. In summary, Gtag&T-seq is a low-cost and accurate single-cell multi-omics method that explores genetic alterations and their functional consequences in single cells at scale.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-02-21
DOI
https://doi.org/10.1093/nar/gkaf173
Citations
6
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
4.84

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article

Single-cell genome and transcriptome sequencing without upfront whole-genome amplification reveals cell state plasticity of melanoma subclones

Aljosja Rogiers, Jean‐Christophe Marine, Jonas Demeulemeester, Daniel V. Brown et al.
6 citations
Nucleic Acids Research
Single-cell and spatial transcriptomics
4.84
article

Single-cell genome and transcriptome sequencing without upfront whole-genome amplification reveals cell state plasticity of melanoma subclones

Aljosja Rogiers, Jean‐Christophe Marine, Jonas Demeulemeester, Daniel V. Brown, Eleonora Leucci, Thierry Voet, Florian Rambow, Nina Van Raemdonck, Alejandro Sifrim, I. Claes, Oskar Marín-Béjar, Koen Theunis, Michiel Van der Haegen, Sebastiaan Vanuytven, Jarne Geurts
article en
6 citations

Abstract

Single-cell multi-omics methods enable the study of cell state diversity, which is largely determined by the interplay of the genome, epigenome, and transcriptome. Here, we describe Gtag&T-seq, a genome-and-transcriptome sequencing (G&T-seq) protocol of the same single cells that omits whole-genome amplification (WGA) by using direct genomic tagmentation (Gtag). Gtag drastically decreases the cost and improves coverage uniformity at single-cell and pseudo-bulk levels compared to WGA-based G&T-seq. We also show that transcriptome-based DNA copy number inference has limited resolution and accuracy, underlining the importance of affordable multi-omic approaches. Applying Gtag&T-seq to a melanoma xenograft model before treatment and at minimal residual disease revealed differential cell state plasticity and treatment response between cancer subclones. In summary, Gtag&T-seq is a low-cost and accurate single-cell multi-omics method that explores genetic alterations and their functional consequences in single cells at scale.

Nucleic Acids ResearchVol. 53(6)
Walter and Eliza Hall Institute of Medical Research (AU), Cancer Institute (WIA) (IN), VIB-KU Leuven Center for Cancer Biology (BE), KU Leuven (BE)
Melanoma Research Alliance, Marie Curie, Fonds Wetenschappelijk Onderzoek, KU Leuven, Vlaams Instituut voor Biotechnologie, Stichting Tegen Kanker, Kom op tegen Kanker, Fondation contre le Cancer, European Social Fund
Openalex Percentile: Top 5%
Single-cell and spatial transcriptomics
4.84
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