Evidence map›Paper›PMID 41385644›Full record

ArticleScience advances2025

Droplet-based single-cell pairing for high-throughput interaction mapping of antigen-receptor combinations.

Lang Nan, Tianjiao Mao, Charles W F Chan, Bei Wang, Ziyu Han, Gigi C G Choi, Xueyong Wei, Alan S L Wong, Ho Cheung Shum

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Lang NanSchool of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.ORCID 0000-0002-1978-2482
Tianjiao MaoDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Charles W F ChanLaboratory of Combinatorial Genetics and Synthetic Biology, School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.ORCID 0009-0004-2751-6565
Bei WangLaboratory of Combinatorial Genetics and Synthetic Biology, School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.ORCID 0009-0008-3656-3952
Ziyu HanAdvanced Biomedical Instrumentation Centre, Hong Kong Science Park, Shatin, Hong Kong SAR, China.
Gigi C G ChoiLaboratory of Combinatorial Genetics and Synthetic Biology, School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.ORCID 0000-0003-2774-9188
Xueyong WeiSchool of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.ORCID 0000-0002-6443-4727
Alan S L WongLaboratory of Combinatorial Genetics and Synthetic Biology, School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.ORCID 0000-0003-1790-3233
Ho Cheung ShumDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.ORCID 0000-0002-6365-8825

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mapping the interaction potential of different variant combinations of viral antigens and human cell receptors and understanding how viral antigen mutations interact with human genetic polymorphisms are critical for predicting infection susceptibility and informing precision public health strategies. Here, we develop a droplet-based single-cell pairing and library-on-library interaction screening (SPLIS) system for high-throughput profiling of the syncytium-formation landscapes of various spike-angiotensin-converting enzyme 2 (ACE2) variant combinations. This system uses combined droplet sorting and merging to deterministically encapsulate one antigen-presenting sender cell and one receptor-expressing receiver cell into each drop, followed by selection and sequencing of the fused DNA readouts to characterize the syncytium-formation potential of each combination. We applied SPLIS to characterize both fusion-enhancing and -inhibiting variant pairs, comprehensively profiling how ACE2 single-nucleotide polymorphisms modulate susceptibility to emerging severe acute respiratory syndrome coronavirus 2 spike mutations. Our system emerges as a powerful tool to interrogate the interactions between two libraries of variants, offering valuable insights into host susceptibility patterns and viral infectivity trends.

Indexed as

Angiotensin-Converting Enzyme 2Antigens, ViralCOVID-19High-Throughput Screening AssaysSARS-CoV-2Single-Cell AnalysisSpike Glycoprotein, CoronavirusHEK293 CellsHumansMutationPolymorphism, Single NucleotideACE2 protein, humanAngiotensin-Converting Enzyme 2Antigens, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID41385644
PMCPMC12700217

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.