Evidence map›Paper›PMID 37131604›Full record

ArticlebioRxiv : the preprint server for biology2025

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 21 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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, 30 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors at 2 institutions in 2 countries.

Milad DagherNomic Bio, Montreal, QC, Canada.
Grant OngoNomic Bio, Montreal, QC, Canada.
Nathaniel RobichaudNomic Bio, Montreal, QC, Canada.
Jinglin KongNomic Bio, Montreal, QC, Canada.
Woojong RhoNomic Bio, Montreal, QC, Canada.
Ivan TeahulosNomic Bio, Montreal, QC, Canada.
Arya TavakoliNomic Bio, Montreal, QC, Canada.
Samantha BovairdNomic Bio, Montreal, QC, Canada.
Shahem MerjanehNomic Bio, Montreal, QC, Canada.
Andrew TanNomic Bio, Montreal, QC, Canada.
Kiran EdwardsonNomic Bio, Montreal, QC, Canada.
Christelle ScheepersNomic Bio, Montreal, QC, Canada.
Andy NgVictor Phillip Dahdaleh Institute of Genomic Medicine, Montreal, QC, Canada.
Andy HajjarNomic Bio, Montreal, QC, Canada.
Baly SowNomic Bio, Montreal, QC, Canada.
Michael VrouvidesNomic Bio, Montreal, QC, Canada.
Andy LeeNomic Bio, Montreal, QC, Canada.
Philippe DeCorwin-MartinNomic Bio, Montreal, QC, Canada.
Shafqat RasoolNomic Bio, Montreal, QC, Canada.
Jiamin HuangNomic Bio, Montreal, QC, Canada.
Timothy ErpsNomic Bio, Montreal, QC, Canada.
Spencer CoffinNomic Bio, Montreal, QC, Canada.
Yu HanBroad Institute of MIT and Harvard, Imaging Platform, Cambridge, MA, USA.ORCID 0000-0001-5507-9228
Srinivas Niranj ChandrasekaranBroad Institute of MIT and Harvard, Imaging Platform, Cambridge, MA, USA.ORCID 0000-0001-8874-9988
Lisa MillerBroad Institute of MIT and Harvard, Center for the Development of Therapeutics, Cambridge, MA, USA.ORCID 0000-0002-3295-1164
Maria Kost-AlimovaBroad Institute of MIT and Harvard, Center for the Development of Therapeutics, Cambridge, MA, USA.ORCID 0000-0002-5257-4909
Adam SkepnerBroad Institute of MIT and Harvard, Center for the Development of Therapeutics, Cambridge, MA, USA.ORCID 0000-0001-9523-2127
Shantanu SinghBroad Institute of MIT and Harvard, Imaging Platform, Cambridge, MA, USA.ORCID 0000-0003-3150-3025
Anne E CarpenterBroad Institute of MIT and Harvard, Imaging Platform, Cambridge, MA, USA.ORCID 0000-0003-1555-8261
Jeffrey MunzarNomic Bio, Montreal, QC, Canada.
David JunckerVictor Phillip Dahdaleh Institute of Genomic Medicine, Montreal, QC, Canada.ORCID 0000-0002-7313-1162
Broad Institute · USGenome Canada · CA

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

We present the nELISA, a high-throughput, high-fidelity, and high-plex protein profiling platform. DNA oligonucleotides are used to pre-assemble antibody pairs on spectrally encoded microparticles and perform displacement-mediated detection. Spatial separation between non-cognate antibodies prevents the rise of reagent-driven cross-reactivity, while read-out is performed cost-efficiently and at high-throughput using flow cytometry. nELISA can measure both protein concentration and their post-translational modifications. We assembled an inflammatory panel of 191 targets that were multiplexed without cross-reactivity nor impact on performance vs 1-plex signals, with sensitivities as low as 0.1 pg/mL and measurements spanning 7 orders of magnitude. We then performed a large-scale inflammatory-secretome perturbation screen of peripheral blood mononuclear cells (PBMCs), with cytokines as both perturbagens and readouts, measuring 7,392 samples and generating ~1.4M protein data points in under a week; a significant advance in throughput compared to other highly multiplexed immunoassays. We uncovered 447 significant cytokine responses, including multiple putatively novel ones, that were conserved across donors and stimulation conditions. We validate nELISA for phenotypic screening, where its capacity to faithfully report hundreds of proteins make it a powerful tool across multiple stages of drug discovery.

Identifiers

PMID37131604
PMCPMC10153206
OpenAlexW4366332498

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.