Evidence map›Paper›PMID 37448511›Full record

ArticleAdvanced therapeutics2019

Transfection with nanostructure electro-injection is minimally perturbative.

Andy Tay, Nicholas Melosh

Open access · greenAbstract read
In one paragraph

Article in Advanced therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

25 citing papers in PubMed, 56 citations in OpenAlex.

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  16. Semi-Implantable Bioelectronics.Nano-micro letters · 2022
    Review
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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

2 authors at 2 institutions in 2 countries.

Andy TayDepartment of Materials Science and Engineering, Stanford University, Stanford, CA 94305.
Nicholas MeloshDepartment of Materials Science and Engineering, Stanford University, Stanford, CA 94305.
National University of Singapore · SGStanford University · US

Funding

Nanotechnology for Non-perturbative, Longitudinal Sampling from hiPSC CardiomyocytesR21EB025332 · NIBIB · STANFORD UNIVERSITY · PI MELOSH, NICHOLAS A · 2018 to 2019
$432k
NIBIB NIH HHS R21 EB025332
6 · The paper itself

Abstract

Transfection is a critical step for gene editing and cell-based therapies. Nanoscale technologies have shown great promise to provide higher transfection efficiency and lower cell perturbation than conventional viral, biochemical and electroporation techniques due to their small size and localized effect. Although this has significant implications for using cells post-transfection, it has not been thoroughly studied. Here, we developed the nano-electro-injection (NEI) platform which makes use of localized electric fields to transiently open pores on cell membrane followed by electrophoretic delivery of DNA into cells. NEI provided two-folds higher net transfection efficiency than biochemicals and electroporation in Jurkat cells. Analysis of cell doubling time, intracellular calcium levels and mRNA expression changes after these gene delivery methods revealed that viruses and electroporation adversely affected cell behavior. Cell doubling times increased by more than 40% using virus and electroporation methods indicative of higher levels of cell stress, unlike NEI which only minimally affected cell division. Finally, electroporation, but not NEI, greatly altered the expression of immune-associated genes related to immune cell activation and trafficking. These results highlight that nanoscale delivery tools can have significant advantages from a cell health perspective for cell-based research and therapeutic applications.

Indexed as

nano-electro-injectionnano-electroporationRNA transcriptomicstransfection

Identifiers

PMID37448511
PMCPMC10343936
OpenAlexW2978765837

What OpenQuestion holds

Textmetadata
LicenceTDM
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.