Evidence map›Paper›PMID 42787775›Full record

ArticleMethodsX2026

Resource-efficient Strand-seq library preparation in microliter volumes: a one-pot-style adaptation for standard laboratory infrastructure.

Eva Benito, Ferris Jung, Catherine Stober, Patrick Hasenfeld, Maise Gomes Queiroz, Jan O Korbel

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In one paragraph

Article in MethodsX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Eva BenitoEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany.
Ferris JungEuropean Molecular Biology Laboratory (EMBL), Genomics Core Facility, Heidelberg, Germany.
Catherine StoberEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany.
Patrick HasenfeldEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany.
Maise Gomes QueirozEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany.
Jan O KorbelEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Strand-seq is a single-cell sequencing method that preserves directionality of DNA template strands, enabling chromosome-length haplotyping, structural variant discovery, and sister chromatid exchange mapping. The conventional, microliter-scale protocol is reliable but consumable-intensive, requiring five bead-based DNA cleanups and individual per-cell processing across a 96-well plate. A nanoliter-scale, one-pot (OP) adaptation nearly eliminates bead cleanups and plastic consumables in sub-microliter volumes on bespoke nanoarrays, but requires an acoustic dispenser, custom array hardware, and humidity-controlled dispensing not widely available. Here we describe OP-style Strand-seq, a microliter-volume adaptation retaining the central efficiency principles of the one-pot method (pooled MNase digestion, cumulative reagent addition with minimal intermediate purification, and protease-based enzyme inactivation in place of most bead cleanups) while compatible with standard 96- or 384-well plates, liquid-handling robots, and manual pipetting. Relative to the conventional protocol, OP-style Strand-seq reduces tip consumption ∼60% and eliminates three of five cleanup steps, without specialized nanodispensing hardware. • Retains pooled MNase digestion and protease-based enzyme inactivation from the one-pot method, in microliter rather than nanoliter volumes. • Requires two bead-based cleanups instead of five, and no specialized nanoliter dispensing hardware. • Compatible with manual pipetting, liquid-handling robots, or acoustic dispensing in 384-well format, adoptable across diverse laboratory infrastructure.

Indexed as

Green chemistryOne-pot library preparationPlastic waste reductionSingle-cell template strand sequencingStrand-seqSustainable laboratory protocols

Identifiers

PMID42787775
PMCPMC13602216

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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.