Evidence map›Paper›PMID 39867668›Full record

ArticlePNAS nexus2025

Targeted barcoding of variable antibody domains and individual transcriptomes of the human B-cell repertoire using Link-Seq.

Hongxing Hu, Fan Zhou, Xiaoli Ma, Karl Albert Brokstad, Leonie Kolmar, Charles Girardot, Vladimir Benes, Rebecca J Cox, Christoph A Merten

Abstract read
In one paragraph

Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Hongxing HuInstitute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.
Fan ZhouDepartment of Clinical Sciences, Influenza Centre, University of Bergen, Bergen, N5021, Norway.ORCID https://orcid.org/0000-0001-9918-3422
Xiaoli MaInstitute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.
Karl Albert BrokstadDepartment of Clinical Sciences, Influenza Centre, University of Bergen, Bergen, N5021, Norway.ORCID https://orcid.org/0000-0003-0593-2731
Leonie KolmarInstitute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-4286-470X
Charles GirardotGenome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, 69117  Germany.ORCID https://orcid.org/0000-0003-4301-3920
Vladimir BenesGenome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, 69117  Germany.ORCID https://orcid.org/0000-0002-0352-2547
Rebecca J CoxDepartment of Clinical Sciences, Influenza Centre, University of Bergen, Bergen, N5021, Norway.ORCID https://orcid.org/0000-0002-8341-4078
Christoph A MertenInstitute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0001-8790-4659

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we present Link-Seq, a highly efficient droplet microfluidic method for combined sequencing of antibody-encoding genes and the transcriptome of individual B cells at large scale. The method is based on 3' barcoding of the transcriptome and subsequent single-molecule PCR in droplets, which freely shift the barcode along specific gene regions, such as the antibody heavy- and light-chain genes. Using the immune repertoire of COVID-19 patients and healthy donors as a model system, we obtain up to 91.7% correctly paired immunoglobulin heavy and light chains. Furthermore, we map the V(D)J usage and obtain sensitivities comparable with the current gold-standard 10× Genomics commercial systems while offering full flexibility in experimental setup and significant cost savings. A further unique feature of Link-Seq is the possibility of barcoding multiple target genes in a site-specific manner. Based on the open character of the platform and its conceptual advantages, we expect Link-Seq to become a versatile tool for single-cell analysis, especially for applications requiring additional processing steps that cannot be implemented on commercially available platforms.

Indexed as

droplet microfluidicsimmune repertoire sequencingRNA-seqSARS-CoV-2 infectionsingle-cell analysis

Identifiers

PMID39867668
PMCPMC11759286

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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.