Evidence map›Paper›PMID 37443317›Full record

ArticleNature communications2023

Extending the dynamic range of biomarker quantification through molecular equalization.

Sharon S Newman, Brandon D Wilson, Daniel Mamerow, Benjamin C Wollant, Hnin Nyein, Yael Rosenberg-Hasson, Holden T Maecker, Michael Eisenstein, H Tom Soh

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Wearable Electrochemical Biosensors for Advanced Healthcare Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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.

Sharon S Newman *Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0001-5432-173X
Brandon D Wilson *Department of Chemical Engineering, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0002-8867-4848
Daniel Mamerow *Department of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA.
Benjamin C WollantDepartment of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA.
Hnin NyeinDepartment of Radiology, School of Medicine, Stanford University, Stanford, CA, 94305, USA.
Yael Rosenberg-HassonInstitute for Immunity, Transplantation, and Infection, School of Medicine, Stanford University, Stanford, CA, 94305, USA.
Holden T MaeckerInstitute for Immunity, Transplantation, and Infection, School of Medicine, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0003-0795-9946
Michael EisensteinDepartment of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA.
H Tom SohDepartment of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA. tsoh@stanford.edu.ORCID 0000-0001-9443-857X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision medicine requires highly scalable methods of multiplexed biomarker quantification that can accurately describe patient physiology. Unfortunately, contemporary molecular detection methods are generally limited to a dynamic range of sensitivity spanning just 3-4 orders of magnitude, whereas the actual physiological dynamic range of the human plasma proteome spans more than 10 orders of magnitude. Current methods rely on sample splitting and differential dilution to compensate for this mismatch, but such measures greatly limit the reproducibility and scalability that can be achieved-in particular, the effects of non-linear dilution can greatly confound the analysis of multiplexed assays. We describe here a two-pronged strategy for equalizing the signal generated by each analyte in a multiplexed panel, thereby enabling simultaneous quantification of targets spanning a wide range of concentrations. We apply our 'EVROS' strategy to a proximity ligation assay and demonstrate simultaneous quantification of four analytes present at concentrations spanning from low femtomolar to mid-nanomolar levels. In this initial demonstration, we achieve a dynamic range spanning seven orders of magnitude in a single 5 µl sample of undiluted human serum, highlighting the opportunity to achieve sensitive, accurate detection of diverse analytes in a highly multiplexed fashion.

Indexed as

Reproducibility of ResultsBiomarkersHumansBiomarkers

Identifiers

PMID37443317
PMCPMC10344875

What OpenQuestion holds

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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.