Evidence map›Paper›PMID 41203862›Full record

ArticleNature methods2025

nELISA: a high-throughput, high-plex platform enables quantitative profiling of the inflammatory secretome.

Milad Dagher, Grant Ongo, Nathaniel Robichaud, Jinglin Kong, Woojong Rho, Ivan Teahulos, Arya Tavakoli, Samantha Bovaird, Shahem Merjaneh, Andrew Tan and 22 more

Abstract read
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
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  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. The OASIS Consortium: integrating multi-omics technologies to transform chemical safety assessment.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Article
  14. Article
  15. Article
  16. A morphology and secretome map of pyroptosis.Molecular biology of the cell · 2025
    Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

32 authors.

Milad DagherNomic Bio, Montreal, Quebec, Canada. milad@nomic.bio.ORCID http://orcid.org/0009-0002-5959-0327
Grant OngoNomic Bio, Montreal, Quebec, Canada.
Nathaniel RobichaudNomic Bio, Montreal, Quebec, Canada.
Jinglin KongNomic Bio, Montreal, Quebec, Canada.
Woojong RhoNomic Bio, Montreal, Quebec, Canada.ORCID http://orcid.org/0009-0007-6845-9765
Ivan TeahulosNomic Bio, Montreal, Quebec, Canada.
Arya TavakoliNomic Bio, Montreal, Quebec, Canada.
Samantha BovairdNomic Bio, Montreal, Quebec, Canada.
Shahem MerjanehNomic Bio, Montreal, Quebec, Canada.
Andrew TanNomic Bio, Montreal, Quebec, Canada.
Kiran EdwardsonNomic Bio, Montreal, Quebec, Canada.
Christelle ScheepersNomic Bio, Montreal, Quebec, Canada.
Andy NgVictor Phillip Dahdaleh Institute of Genomic Medicine, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0003-3257-0801
Andy HajjarNomic Bio, Montreal, Quebec, Canada.
Baly SowNomic Bio, Montreal, Quebec, Canada.
Michael VrouvidesNomic Bio, Montreal, Quebec, Canada.
Andy LeeNomic Bio, Montreal, Quebec, Canada.
Philippe DeCorwin-MartinNomic Bio, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0001-8132-1102
Shafqat RasoolNomic Bio, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0002-5223-8358
Jiamin HuangNomic Bio, Montreal, Quebec, Canada.ORCID http://orcid.org/0009-0001-6593-5857
Timothy ErpsNomic Bio, Montreal, Quebec, Canada.
Spencer CoffinNomic Bio, Montreal, Quebec, Canada.
Narges M RashidiNomic Bio, Montreal, Quebec, Canada.
Yu HanVictor Phillip Dahdaleh Institute of Genomic Medicine, Montreal, Quebec, Canada.
Srinivas Niranj ChandrasekaranBroad Institute of MIT and Harvard, Imaging Platform, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8874-9988
Lisa MillerBroad Institute of MIT and Harvard, Center for the Development of Therapeutics, Cambridge, MA, USA.
Maria Kost-AlimovaBroad Institute of MIT and Harvard, Center for the Development of Therapeutics, Cambridge, MA, USA.
Adam SkepnerBroad Institute of MIT and Harvard, Center for the Development of Therapeutics, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9523-2127
Shantanu SinghBroad Institute of MIT and Harvard, Center for the Development of Therapeutics, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-3150-3025
Anne E CarpenterBroad Institute of MIT and Harvard, Imaging Platform, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-1555-8261
Jeffrey D MunzarNomic Bio, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0001-9000-1426
David JunckerNomic Bio, Montreal, Quebec, Canada. david.juncker@mcgill.ca.ORCID http://orcid.org/0000-0002-7313-1162

Funding

Extracting rich information from biological imagesR35GM122547 · NIGMS · BROAD INSTITUTE, INC. · PI Anne E. Carpenter · 2017 to 2026
$6.2M
Opera Phenix high-throughput microplate confocal imager for high-content screeningS10OD026839 · OD · BROAD INSTITUTE, INC. · PI WAGNER, BRIDGET K · 2019 to 2019
$1.0M
NIGMS NIH HHS R35 GM122547NIH HHS S10 OD026839
6 · The paper itself

Abstract

Existing high-plex protein measurement tools compromise on quantification, precision and cost efficiency. Here, to address this, we present nELISA, a platform that combines a DNA-mediated, bead-based sandwich immunoassay with advanced multicolor bead barcoding. Antibody pairs are preassembled on target-specific, barcoded beads, which ensures spatial separation between noncognate assays. Detection antibodies are tethered via flexible single-stranded DNA to enable efficient ternary sandwich formation. Detection is achieved through toehold-mediated strand displacement, where fluorescently labeled DNA oligos simultaneously untether and label detection antibodies. nELISA delivers sub-picogram-per-milliliter sensitivity across seven orders of magnitude. Using a 191-plex inflammation panel, we profiled cytokine responses in 7,392 peripheral blood mononuclear cell samples, generating ~1.4 million protein measurements and revealing over 440 robust cytokine responses, including previously unreported effects. nELISA thus provides a simple, scalable and cost-efficient solution for large-scale, high-fidelity phenotypic screening.

Indexed as

CytokinesHigh-Throughput Screening AssaysInflammationSecretomeHumansImmunoassayLeukocytes, MononuclearCytokines

Identifiers

PMID41203862
PMCPMC12615254

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.