Protocol update to: High-throughput scNMT protocol for multiomics profiling of single cells from mouse brain and pancreatic organoids

Single-cell nucleosome, methylome, and transcriptome (scNMT) sequencing is a recently developed method that allows multiomics profiling of single cells. In this scNMT protocol, we describe profiling of cells from mouse brain and pancreatic organoids, using liquid handling platforms to increase throughput from 96-well to 384-well plate format. Our approach miniaturizes reaction volumes and incorporates the latest Smart-seq3 protocol to obtain higher numbers of detected genes and genomic DNA (gDNA) CpGs per cell. We outline normalization steps to optimally distribute per-cell sequencing depth. For complete details on the use and execution of this protocol, please refer to Kremer et al. and other works.<sup>1</sup><sup>,</sup><sup>2</sup><sup>,</sup><sup>3</sup><sup>,</sup><sup>4</sup><sup>,</sup><sup>5</sup><sup>,</sup><sup>6</sup><sup>,</sup><sup>7</sup> This protocol is an update to Cerrizuela et al.<sup>7</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-07-24
DOI
https://doi.org/10.1016/j.xpro.2025.103980
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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article

Protocol update to: High-throughput scNMT protocol for multiomics profiling of single cells from mouse brain and pancreatic organoids

Ana Martín-Villalba, Andrés Sanz-Morejón, Aylin Korkmaz, Jannes Straub et al.
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STAR Protocols
Single-cell and spatial transcriptomics
article

Protocol update to: High-throughput scNMT protocol for multiomics profiling of single cells from mouse brain and pancreatic organoids

Ana Martín-Villalba, Andrés Sanz-Morejón, Aylin Korkmaz, Jannes Straub, Jan Brunken, Andrea Sarvari, Tobias Ellinger, Santiago Cerrizuela, Oğuzhan Kaya, Lukas P. M. Kremer
article en

Abstract

Single-cell nucleosome, methylome, and transcriptome (scNMT) sequencing is a recently developed method that allows multiomics profiling of single cells. In this scNMT protocol, we describe profiling of cells from mouse brain and pancreatic organoids, using liquid handling platforms to increase throughput from 96-well to 384-well plate format. Our approach miniaturizes reaction volumes and incorporates the latest Smart-seq3 protocol to obtain higher numbers of detected genes and genomic DNA (gDNA) CpGs per cell. We outline normalization steps to optimally distribute per-cell sequencing depth. For complete details on the use and execution of this protocol, please refer to Kremer et al. and other works.<sup>1</sup><sup>,</sup><sup>2</sup><sup>,</sup><sup>3</sup><sup>,</sup><sup>4</sup><sup>,</sup><sup>5</sup><sup>,</sup><sup>6</sup><sup>,</sup><sup>7</sup> This protocol is an update to Cerrizuela et al.<sup>7</sup>.

STAR ProtocolsVol. 6(3)
German Cancer Research Center (DE), Heidelberg University (DE)
European Research Council
Openalex Percentile: Top 84%
Single-cell and spatial transcriptomics
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