Evidence map›Paper›PMID 20410927›Full record

ArticleGene therapy2010

Improvement of lentiviral vector-mediated gene transduction by genetic engineering of the structural protein Pr55 Gag.

T Aoki, S Shimizu, E Urano, Y Futahashi, M Hamatake, H Tamamura, K Terashima, T Murakami, N Yamamoto, J Komano

Abstract read
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In one paragraph

Article in Gene therapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Oncology letters · 2018
    Article
  3. Article
  4. Article
  5. Article
  6. Ex vivo gene therapy for HIV-1 treatment.Human molecular genetics · 2011
    Review
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

10 authors at 2 institutions in 1 country.

T AokiAIDS Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
S Shimizu
E Urano
Y Futahashi
M Hamatake
H Tamamura
K Terashima
T Murakami
N Yamamoto
J Komano
National Institute of Infectious Diseases · JPTokyo Medical and Dental University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lentiviral vector is a promising tool for human gene therapy because of its ability to transduce genes into many cell types. However, one of the technical problems associated with the lentiviral vector is that lentiviral titers in current production systems are relatively low compared with the other viral vectors. In this study, we provide genetic evidence that the attachment of heterologous myristoylation (myr) signals on the amino-terminus of human immunodeficiency virus type 1 Pr55(Gag) (Gag) can increase the viral yield up to 10-fold, leading to the enhancement of gene transduction in many cell lines. The myr signal Gag constructs behaved similarly to the wild-type Gag in targeting to detergent-resistant membrane compartments, Vps4-dependence for viral budding, and virion morphology. However, the myr signal Gag constructs showed improved oligomerization efficiency as measured by bioluminescence resonance energy transfer in living cells, contributing to increased viral production and efficient activation of the viral protease responsible for virion maturation. The genetically modified Gag represents the next generation lentiviral vector, and should contribute to the success of many lentiviral vector applications.

Indexed as

CD8 AntigensGenetic EngineeringGenetic VectorsHumansLentivirusMicroscopy, ConfocalProtein PrecursorsTransduction, GeneticCD8 Antigensp55 gag precursor protein, Human immunodeficiency virus 1Protein Precursors

Identifiers

PMID20410927
OpenAlexW1974119853

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.