Evidence map›Paper›PMID 42207495›Full record

ArticleAngewandte Chemie (International ed. in English)2026

Expanding High-Fidelity Multiplexing in Ultrasensitive Single-Molecule Protein Detection via Proximity Barcoding.

Chi-Chia Wang, Emily Dorsey, Connie Wu

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2026. 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

5 · Who and what money

Authors and funding

3 authors.

Chi-Chia WangLife Sciences Institute, University of Michigan, Ann Arbor, Michigan, USA.
Emily DorseyLife Sciences Institute, University of Michigan, Ann Arbor, Michigan, USA.
Connie WuLife Sciences Institute, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-4031-7286

Funding

Multidimensional approaches to understand and improve RNA therapeutic design and deliveryR35GM154852 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Connie Wu · 2024 to 2026
$1.1M
Department of Defense Congressionally Directed Medical Research Programs HT9425-24-1-0817National Science Foundation 2541796NIGMS NIH HHS R35 GM154852NIH HHS R35GM154852University of Michigan
6 · The paper itself

Abstract

The human proteome presents a vast information reservoir for basic and diagnostics research, yet the low abundances of many proteins in biofluids pose an analytical challenge. While ultrasensitive methods such as digital enzyme-linked immunosorbent assay have expanded the window of detectable proteins, multiplexing with high accuracy, sensitivity, and throughput remains limited by cross-reactivity and signal readout channels. To address this challenge, we introduce PRO-MOSAIX (PROximity-barcoded Molecular On-bead Signal Amplification for Individual MultipleXing), a high-accuracy multiplex digital immunoassay platform that integrates ultrasensitive single-molecule protein detection with proximity ligation. PRO-MOSAIX generates "ON" signals only from matched affinity reagents in proximity, minimizing false positives from cross-reactive binding. This approach overcomes the multiplexing ceiling imposed by fluorescence spectral overlap by employing a single signal readout channel and DNA barcoding. We further improve multiplexing fidelity by mitigating a secondary source of false positives from DNA-based signal amplification. As a proof of principle, we establish and validate a 15-plex PRO-MOSAIX assay in human plasma, with low femtomolar sensitivities and high measurement accuracies. PRO-MOSAIX is modular and utilizes common laboratory instrumentation with a high-throughput flow cytometric readout, providing a broadly accessible tool across research and clinical labs and bridging the gap between analytical sensitivity and high-order multiplexing.

Indexed as

ProteinsHumansImmunoassayProteinsbiomarkersdigital ELISAmultiplexingsingle moleculeultrasensitive protein detection

Identifiers

PMID42207495
PMCPMC13411521

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.