Evidence map›Paper›PMID 41256526›Full record

ArticlebioRxiv : the preprint server for biology2025

Generation of Cellular Biofactories for Scalable Production of Surface-Engineered Extracellular Vesicles via CRISPR Genome Editing.

Yuki Kawai-Harada, Thomas Scarborough, Nayeema Siraj, Jayadeep Yedla, Tiffany Rennells, S Patrick Walton, Christina Chan, Masako Harada

Abstract 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Yuki Kawai-HaradaInstitute for Quantitative Health Science and Engineering (IQ), Division of Chemical Biology, Michigan State University.
Thomas ScarboroughDepartment of Chemical Engineering and Material Science, Michigan State University.
Nayeema SirajInstitute for Quantitative Health Science and Engineering (IQ), Division of Chemical Biology, Michigan State University.
Jayadeep YedlaInstitute for Quantitative Health Science and Engineering (IQ), Division of Chemical Biology, Michigan State University.
Tiffany RennellsInstitute for Quantitative Health Science and Engineering (IQ), Division of Chemical Biology, Michigan State University.
S Patrick WaltonDepartment of Chemical Engineering and Material Science, Michigan State University.
Christina ChanInstitute for Quantitative Health Science and Engineering (IQ), Division of Chemical Biology, Michigan State University.
Masako HaradaInstitute for Quantitative Health Science and Engineering (IQ), Division of Chemical Biology, Michigan State University.ORCID 0000-0003-0871-1125

Funding

Reproductive and Developmental Sciences Training Program - T32T32HD087166 · NICHD · MICHIGAN STATE UNIVERSITY · PI Ronald L Chandler, Keith E Latham · 2016 to 2026
$2.5M
Developing extracellular vesicle-mediated targeted microRNA delivery system for EGFR cancersR01CA286786 · NCI · MICHIGAN STATE UNIVERSITY · PI HARADA, MASAKO · 2024 to 2025
$703k
Novel, Scalable Approach for Isolation of Exomeres for RNA DeliveryR21GM154180 · NIGMS · MICHIGAN STATE UNIVERSITY · PI WALTON, STEPHEN PATRICK · 2024 to 2025
$400k
NCI NIH HHS R01 CA286786NICHD NIH HHS T32 HD087166NIGMS NIH HHS R21 GM154180
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are versatile biological nanoparticles with applications in therapeutics, diagnostics, and biotechnology. Current production methods using transient transfection or chemical conjugation suffer from high variability, limited scalability, and heterogeneous EV populations. Here, we developed CRISPR-Cas9 engineered HEK293T cell lines with stable integration of mCherry-C1C2 fusion proteins at the AAVS1 locus for continuous production of surface-modified EVs. The engineered cell lines demonstrated significantly higher surface display efficiency compared to transient transfection, with reduced batch-to-batch variability. EVs maintained native characteristics including size distribution (120-130 nm) and marker expression while showing efficient cellular uptake. The platform maintained consistent production of uniformly modified EVs with stable transgene expression over at least 25 passages (~3 months), eliminating the need for repeated transfections and reducing batch-to-batch variability inherent to transient expression systems.

Indexed as

CRISPR-Cas9Engineered extracellular vesicles (EVs)EV surface engineeringScalable EV productionStable cell line

Identifiers

PMID41256526
PMCPMC12622020

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.