Evidence map›Paper›PMID 41748820›Full record

ReviewNature protocols2026

Single-cell ultra-high-throughput multiplexed chromatin accessibility and gene expression sequencing (SUM-seq).

Umut Yildiz, Sara Lobato-Moreno, Annique Claringbould, Hanke Gwendolyn Bauersachs, Nila H Servaas, Evi P Vlachou, Christian Arnold, Víctor Campos-Fornés, Karin D Prummel, Judith B Zaugg and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Umut Yildiz *European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany. umut.yildiz@bsse.ethz.ch.ORCID http://orcid.org/0000-0002-7175-362X
Sara Lobato-Moreno *European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0009-0009-4584-7452
Annique ClaringbouldEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-9201-6557
Hanke Gwendolyn BauersachsEuropean Molecular Biology Laboratory, Molecular Systems Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-3918-7162
Nila H ServaasEuropean Molecular Biology Laboratory, Molecular Systems Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-9825-7554
Evi P VlachouEuropean Molecular Biology Laboratory, Molecular Systems Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-4207-0851
Christian ArnoldEuropean Molecular Biology Laboratory, Molecular Systems Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-9088-4150
Víctor Campos-FornésEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-9992-1106
Karin D PrummelEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-6077-6407
Judith B ZauggEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany. judith.zaugg@embl.de.ORCID http://orcid.org/0000-0001-8324-4040
Kyung Min NohEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany. kyung.min.noh@embl.de.ORCID http://orcid.org/0000-0002-0708-787X
Mikael MarttinenEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany. mikael.marttinen@embl.de.ORCID http://orcid.org/0000-0001-5861-4601

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell epigenome and transcriptome profiling enables the dissection of gene regulatory networks, offering a powerful approach to characterize cellular heterogeneity and regulatory landscapes of cell states. Here we describe a single-cell ultra-high-throughput multiplexed sequencing (SUM-seq) assay for scalable and cost-effective simultaneous profiling of chromatin accessibility and gene expression in single nuclei. SUM-seq combines sample-specific accessible DNA and mRNA in situ barcoding with droplet-based microfluidic barcoding, introducing sample multiplexing and means to resolve multinucleated droplets for multiomic single-cell library preparation. In comparison with existing methods for multimodal profiling of chromatin accessibility and gene expression from the same cell, SUM-seq offers increased throughput and an unmatched multiplexing capability. This permits substantial scaling of the number of samples and nuclei assayed in one experiment, adhering to the needs of large-scale atlas projects, time-course experiments and perturbation screens while considerably reducing costs. We provide guidelines for experimental design and sample handling to accommodate various settings and sample types. Moreover, we discuss potential applications and provide guidelines for data processing. From sample collection to library preparation, the assay can be completed in 2-3 days, followed by sequencing and 1 day of data processing. Although the protocol can be implemented by researchers with general molecular biology skills, prior experience with single-cell assays is recommended.

Indexed as

ChromatinGene Expression ProfilingHigh-Throughput Nucleotide SequencingSingle-Cell AnalysisAnimalsGene LibraryHumansSingle-Cell Gene Expression AnalysisChromatin

Identifiers

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.