Evidence map›Paper›PMID 11593359›Full record

ArticleGene therapy2001

Prediction and optimization of gene transfection and drug delivery by electroporation.

P J Canatella, M R Prausnitz

Abstract read
PubMed Publisher
In one paragraph

Article in Gene therapy, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Molecular dynamic simulation of transmembrane pore growth.The Journal of membrane biology · 2013
    Article
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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.

P J CanatellaSchool of Chemical Engineering, Georgia Institute of Technology, 778 Atlantic Drive, Atlanta, GA 30332-0100, USA.
M R Prausnitz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although electroporation is widely used for laboratory gene transfection and gaining increased importance for nonviral gene therapy, it is generally employed using trial-and-error optimization schemes for lack of methods to predict electroporation's effects on cells. Therefore, we used a statistical approach to quantitatively predict molecular uptake and cell viability following electroporation and show that it predicts both in vitro and in vivo results for a wide range of molecules, including DNA, in 60 different cell types. Mechanistically, this broad predictive ability suggests that electroporation is mediated primarily by lipid bilayer structure and only secondarily by cell-specific characteristics. For gene therapy applications, this approach should facilitate rational design of electroporation protocols.

Indexed as

ElectroporationCellsCell SurvivalGenetic TherapyHumansLipid BilayersRegression AnalysisLipid Bilayers

Identifiers

PMID11593359

What OpenQuestion holds

Textmetadata
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.