Evidence map›Paper›PMID 37856082›Full record

ArticleACS sensors2023

Bispecific Antibody Detection Using Antigen-Conjugated Synthetic Nucleic Acid Strands.

Davide Mariottini, Sara Bracaglia, Luca Barbero, Sebastian W Fuchs, Christoph Saal, Sebastien Moniot, Christine Knuehl, Lorena Baranda, Simona Ranallo, Francesco Ricci

Abstract read
In one paragraph

Article in ACS sensors, 2023. 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. MARPLE: A Proximity-Triggered CRISPR-Cas13 Platform for Ultrasensitive Antibody Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

10 authors.

Davide MariottiniDepartment of Chemical Science and Technologies, University of Rome Tor Vergata, Via della Ricerca Scientifica 1, 00133 Rome, Italy.ORCID 0000-0001-6121-6428
Sara BracagliaDepartment of Chemical Science and Technologies, University of Rome Tor Vergata, Via della Ricerca Scientifica 1, 00133 Rome, Italy.
Luca BarberoRBM-Merck (an affiliate of Merck KGaA), Via Ribes 1, 10010 Turin, Italy.
Sebastian W FuchsMerck KGaA, Frankfurter Strasse 250, 64293 Darmstadt, Germany.
Christoph SaalMerck KGaA, Frankfurter Strasse 250, 64293 Darmstadt, Germany.
Sebastien MoniotMerck KGaA, Frankfurter Strasse 250, 64293 Darmstadt, Germany.
Christine KnuehlMerck KGaA, Frankfurter Strasse 250, 64293 Darmstadt, Germany.
Lorena BarandaDepartment of Chemical Science and Technologies, University of Rome Tor Vergata, Via della Ricerca Scientifica 1, 00133 Rome, Italy.
Simona RanalloDepartment of Chemical Science and Technologies, University of Rome Tor Vergata, Via della Ricerca Scientifica 1, 00133 Rome, Italy.
Francesco RicciDepartment of Chemical Science and Technologies, University of Rome Tor Vergata, Via della Ricerca Scientifica 1, 00133 Rome, Italy.ORCID 0000-0003-4941-8646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report here the development of two different sensing strategies based on the use of antigen-conjugated nucleic acid strands for the detection of a bispecific antibody against the tumor-related proteins Mucin1 and epidermal growth factor receptor. Both approaches work well in serum samples (nanomolar sensitivity), show high specificity against the two monospecific antibodies, and are rapid. The results presented here demonstrate the versatility of DNA-based platforms for the detection of bispecific antibodies and could represent a versatile alternative to other more reagent-intensive and time-consuming analytical approaches.

Indexed as

Antibodies, BispecificAntibodies, Bispecificantibody detectionbispecific antibodyDNA nanotechnologysynthetic nucleic acid

Identifiers

PMID37856082
PMCPMC10683503

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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.