Evidence map›Paper›PMID 35029381›Full record

ArticleACS nano2022

High-Throughput, High-Multiplex Digital Protein Detection with Attomolar Sensitivity.

Connie Wu, Tyler J Dougan, David R Walt

Abstract read
In one paragraph

Article in ACS nano, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
–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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Aptamer-based DNA nanoswitches for multiplexed protein detection.Chemical communications (Cambridge, England) · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Aptamer-based DNA nanoswitches for multiplexed protein detection.bioRxiv : the preprint server for biology · 2026
    Article
  8. Real-Time Digital Micromotor Tracking-Enabled Ultrasensitive Immunoassay.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  9. Article
  10. Ultrasensitive Enzyme-Free Detection of Proteins on Magnetic Beads.Journal of the American Chemical Society · 2026
    Article
  11. Article
  12. Droplet Digital CRISPR for Nucleic Acid Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. 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

3 authors.

Connie WuDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.ORCID 0000-0002-4031-7286
Tyler J DouganDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.ORCID 0000-0003-0668-3220
David R WaltDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.ORCID 0000-0002-5524-7348

Funding

Development of an Ultrasensitive Point-of-Care Salivary Diagnostic for Mild Traumatic Brain InjuryF32EB029777 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI WU, CONNIE · 2020 to 2021
$131k
NIBIB NIH HHS F32 EB029777
6 · The paper itself

Abstract

A major challenge in many clinical diagnostic applications is the measurement of low-abundance proteins and other biomolecules in biological fluids. Digital technologies such as the digital enzyme-linked immunosorbent assay (ELISA) have enabled 1000-fold increases in sensitivity over conventional protein detection methods. However, current digital ELISA technologies still possess insufficient sensitivities for many rare protein biomarkers and require specialized instrumentation or time-consuming workflows that have limited their widespread implementation. To address these challenges, we have developed a more sensitive and streamlined digital ELISA platform, Molecular On-bead Signal Amplification for Individual Counting (MOSAIC), which attains low attomolar limits of detection, with an order of magnitude enhancement in sensitivity over these other methods. MOSAIC uses a rapid, automatable flow cytometric readout that vastly increases throughput and is easily integrated into existing laboratory infrastructure. As MOSAIC provides high sampling efficiencies for rare target molecules, assay bead number can readily be tuned to enhance signal-to-background with high measurement precision. Furthermore, the solution-based signal readout of MOSAIC expands the number of analytes that can simultaneously be measured for higher-order multiplexing with femtomolar sensitivities or below, compared with microwell- or droplet-based digital methods. As a proof of principle, we apply MOSAIC toward improving the detectability of low-abundance cytokines in saliva and ultrasensitive multiplexed measurements of eight protein analytes in plasma and saliva. The attomolar sensitivity, high throughput, and broad multiplexing abilities of MOSAIC provide highly accessible and versatile ultrasensitive capabilities that can potentially accelerate protein biomarker discovery and diagnostic testing for diverse disease applications.

Indexed as

CytokinesBiomarkersEnzyme-Linked Immunosorbent AssayBiomarkersCytokinesbiomarkersdiagnosticsdigitalimmunoassaysingle moleculeultrasensitive protein detection

Identifiers

PMID35029381
PMCPMC9499451

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.