Evidence map›Paper›PMID 12457277›Full record

ReviewGene therapy2002

Gene therapy progress and prospects: nonviral vectors.

T Niidome, L Huang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Gene therapy, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 219 papers.

0numbers the graph read from it
0cells of the map it votes in
219citing papers in PubMed
15.5field-weighted citation impact, top 1% 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

219 citing papers in PubMed, 959 citations in OpenAlex.

  1. Article
  2. Review
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  10. Genetically Engineered-Cell-Membrane Nanovesicles for Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  11. Review
  12. Article
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  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Article

159 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

T NiidomeCenter for Pharmacogenetics, School of Pharmacy, 633 Salk Hall, University of Pittsburgh, Pittsburgh, PA 15213, USA.
L Huang
University of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The success of gene therapy is largely dependent on the development of the gene delivery vector. Recently, gene transfection into target cells using naked DNA, which is a simple and safe approach, has been improved by combining several physical techniques, for example, electroporation, gene gun, ultrasound and hydrodynamic pressure. Chemical approaches have been utilized to improve the efficiency and cell specificity of gene transfer. Novel gene carrier molecules, which facilitate DNA escape from the endosome into the cytosol, have been developed. Several functional polymers, which enable controlled release of DNA in response to an environmental change, have also been reported. Plasmids with reduced number of CpG motifs, the use of PCR fragments and the sequential injection method have been established for the reduction of immune response triggered by plasmid DNA. Construction of a long-lasting gene expression system is also an important theme for nonviral gene therapy. To date, tissue-specific expression, self-replicating and integrating plasmid systems have been reported. Improvement of delivery methods together with intelligent design of the DNA itself has brought about large degrees of enhancement in the efficiency, specificity and temporal control of nonviral vectors.

Indexed as

DNADNA ReplicationDrug CarriersElectroporationGene ExpressionGenetic TherapyHumansLiposomesPolymersTransfectionDNADrug CarriersLiposomesPolymers

Identifiers

PMID12457277
OpenAlexW2077850392

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.