Evidence map›Paper›PMID 17085500›Full record

ArticleBiophysical journal2007

Understanding intracellular transport processes pertinent to synthetic gene delivery via stochastic simulations and sensitivity analyses.

Anh-Tuan Dinh, Chinmay Pangarkar, Theo Theofanous, Samir Mitragotri

Abstract read
In one paragraph

Article in Biophysical journal, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Kinome-level screening identifies inhibition of polo-like kinase-1 (PLK1) as a target for enhancing non-viral transgene expression.Journal of controlled release : official journal of the Controlled Release Society · 2015
    Article
  7. Non-viral vectors for gene-based therapy.Nature reviews. Genetics · 2014
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Gene therapy from the perspective of systems biology.Current opinion in molecular therapeutics · 2010
    Review
  17. Review
  18. Review
  19. Article
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

4 authors.

Anh-Tuan DinhDepartment of Chemical Engineering, University of California, Santa Barbara, California 93106, USA.
Chinmay Pangarkar
Theo Theofanous
Samir Mitragotri

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major challenge in synthetic gene delivery is to quantitatively predict the optimal design of polymer-based gene carriers (polyplexes). Here, we report a consistent, integrated, and fundamentally grounded computational methodology to address this challenge. This is achieved by accurately representing the spatio-temporal dynamics of intracellular structures and by describing the interactions between gene carriers and cellular components at a discrete, nanoscale level. This enables the applications of systems tools such as optimization and sensitivity analysis to search for the best combination of systems parameters. We validate the approach using DNA delivery by polyethylenimine as an example. We show that the cell topology (e.g., size, circularity, and dimensionality) strongly influences the spatiotemporal distribution of gene carriers, and consequently, their optimal intracellular pathways. The model shows that there exists an upper limit on polyplexes' intracellular delivery efficiency due to their inability to protect DNA until nuclear entry. The model predicts that even for optimally designed polyethylenimine vectors, only approximately 1% of total DNA is delivered to the nucleus. Based on comparison with gene delivery by viruses, the model suggests possible strategies to significantly improve transfection efficiencies of synthetic gene vectors.

Indexed as

Models, BiologicalBiological Transport, ActiveCell MembraneComputer SimulationDNADrug Delivery SystemsEndocytosisModels, StatisticalSensitivity and SpecificityStochastic ProcessesDNA

Identifiers

PMID17085500
PMCPMC1779970

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.