Evidence map›Paper›PMID 41472698›Full record

ArticleChem & bio engineering2025

High-Efficiency l‑PEI-Based Transfection of ARPE-19 Cells Using a Multiparametric Approach and Automated Polyplex Formation with a 3D-Printed Microfluidic System.

Daniel Keim, Michaela Dehne, Patricia Miller, Valérie Jérôme, Janina Bahnemann, Ruth Freitag

Abstract read
In one paragraph

Article in Chem & bio engineering, 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
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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

6 authors.

Daniel KeimProcess Biotechnology, University of Bayreuth, Universitätstraße 30, Bayreuth 95444, Germany.ORCID https://orcid.org/0000-0002-8338-8041
Michaela DehneTechnical Biology, Institute of Physics, University of Augsburg, Universitätsstraße. 1, Augsburg 86159, Germany.ORCID https://orcid.org/0009-0001-6015-1084
Patricia MillerTechnical Biology, Institute of Physics, University of Augsburg, Universitätsstraße. 1, Augsburg 86159, Germany.
Valérie JérômeProcess Biotechnology, University of Bayreuth, Universitätstraße 30, Bayreuth 95444, Germany.ORCID https://orcid.org/0000-0001-6492-2168
Janina BahnemannTechnical Biology, Institute of Physics, University of Augsburg, Universitätsstraße. 1, Augsburg 86159, Germany.ORCID https://orcid.org/0000-0002-7008-1673
Ruth FreitagProcess Biotechnology, University of Bayreuth, Universitätstraße 30, Bayreuth 95444, Germany.ORCID https://orcid.org/0000-0002-6569-9137

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonviral gene delivery offers promise for treating age-related macular degeneration (AMD), a major cause of blindness. Genetic modification of retinal pigment epithelium (RPE) cells is a potential therapeutic strategy for AMD. This study presents a multiparametric approach to enhance nonviral transfection of human ARPE-19 cells using linear poly-(ethylenimine) (l-PEI, 25 kDa) as a delivery agent for plasmid DNA (pDNA). The transfection protocol was optimized by adjusting the N/P ratio through nucleic acid concentration, varying polymer density, reducing transfection volume, and minimizing contact time between cells and polyplexes. Under optimized conditions, transfection efficiency (TE) reached 88% with ∼85% viability. A semi-automated method for polyplex formation was developed using a 3D-printed microfluidic system, thereby enabling standardized production. This optimized protocol was successfully adapted to the microfluidic system without compromising TE or viability. This semi-automated approach represents a step toward the scalable and reproducible application of l-PEI-based transfection technologies for future therapeutic use.

Indexed as

3D printinghuman retinal pigmented epithelia cellsl-PEImicrofluidicnonviral gene deliverypolycation

Identifiers

PMID41472698
PMCPMC12746001

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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.