Evidence map›Paper›PMID 42039438›Full record

ArticlebioRxiv : the preprint server for biology2026

CELLISA - a cell-cell binding assay for evaluation of nanovesicle targeting proteins.

Taylor F Gunnels, Jonathan D Boucher, Yazeed S Alroogi, Neha P Kamat, Joshua N Leonard

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

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

5 authors.

Taylor F GunnelsDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0002-2498-2630
Jonathan D BoucherCenter for Synthetic Biology, Northwestern University, Evanston, IL, 60208, USA.ORCID 0000-0001-6938-4813
Yazeed S AlroogiDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0001-5943-6018
Neha P KamatDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0001-9362-6106
Joshua N LeonardCenter for Synthetic Biology, Northwestern University, Evanston, IL, 60208, USA.ORCID 0000-0003-4359-6126

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Devalingam Mahalingam · 1993 to 2026
$153.9M
Design-driven engineering of robust mammalian sense-and-respond functions: from parts to programsR01EB026510 · NIBIB · NORTHWESTERN UNIVERSITY · PI Neda Bagheri, Joshua Nathaniel Leonard · 2018 to 2026
$3.7M
NCI NIH HHS P30 CA060553NIBIB NIH HHS R01 EB026510
6 · The paper itself

Abstract

Enhancing targeted delivery of biomedicines improves efficacy and can reduce off-target effects by lowering the effective dose, but achieving targeting is challenging. Extracellular vesicles (EVs) are promising biological nanovesicles which can be targeted by displaying binding proteins and are being developed as therapeutics. Currently, discovering EV targeting constructs is limited by low throughput and resource-intensive EV production and isolation. To accelerate discovery, we developed a screening pipeline to identify EV targeting constructs without requiring EV production. This approach is premised on the hypothesis that cell-cell interactions may predict some cell-EV interactions. Our cell binding assay (CELLISA) quantifies binding of a cell surface-displayed targeting protein to its cognate receptor on a target cell, employing a microscopy-based analysis pipeline. After validating the premise using existing T cell-targeting reagents, we develop CELLISA for either adherent or suspension EV producer cells. Finally, we use CELLISA to evaluate new binders and validate that hits mediate targeting and/or delivery of genetic cargo to natural killer cells and T cells. CELLISA increased throughput > 6-fold and decreased time by 40% compared to standard EV screens, and it identified a T-cell binder conferring efficient gene delivery. CELLISA is easily adaptable to other laboratories and can accelerate EV research.

Indexed as

EVExtracellular VesicleLentivirusNanoparticle drug deliveryScreenTargeted drug delivery

Identifiers

PMID42039438
PMCPMC13104957

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.