Evidence map›Paper›PMID 15550928›Full record

ArticleGene therapy2005

Optimization of equine infectious anemia derived vectors for hematopoietic cell lineage gene transfer.

J P O'Rourke, J C Olsen, B A Bunnell

Abstract read
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In one paragraph

Article in Gene therapy, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

3 authors at 3 institutions in 1 country.

J P O'RourkeDepartment of Molecular Medicine, Children's Research Institute, Columbus, OH, USA.
J C Olsen
B A Bunnell
Nationwide Children's Hospital · USThe Ohio State University · USUniversity of North Carolina at Chapel Hill · US

Funding

INTRAMARROW GENE TRANSFER IN NEONATESR01AI047693 · NIAID · TULANE UNIVERSITY OF LOUISIANA · PI BUNNELL, BRUCE A · 2000 to 2003
$1.4M
NHLBI NIH HHS HL10430NIAID NIH HHS AI47693
6 · The paper itself

Abstract

Gene transfer into hematopoietic cells may allow correction of a variety of hematopoietic and metabolic disorders. Optimized HIV-1 based lentiviral vectors have been developed for improved gene transfer and transgene expression into hematopoietic cells. However, the use of HIV-1 based vectors for human gene therapy may be limited due to ethical and biosafety issues. We report that vectors based on the non-primate equine infectious anemia virus (EIAV) transduce a variety of human hematopoietic cell lines and primary blood cells. To investigate optimization of gene expression in hematopoietic cells, we compared a variety of post-transcriptional elements and promoters in the context of EIAV vectors. We observed cell specific increase in the number of transgene expressing cells with the different post-transcriptional elements, whereas the use of elongation factor alpha 1 (EFalpha1) promoter resulted in significant increases in both the number of transgene expressing cells and the level of transgene protein in all cell types tested. We then demonstrate increased transduction of hematopoietic cells using a second-generation EIAV vector containing a self-inactivating EIAV LTR and the EIAV central polypurine tract (cppt). These data suggest that optimized EIAV vectors may be a suitable alternative to HIV-1 vectors for use in hematopoietic gene therapy.

Indexed as

Hematopoietic Stem CellsAnimalsCell LineGene ExpressionGenetic TherapyGenetic VectorsHumansInfectious Anemia Virus, EquinePeptide Elongation Factor 1Promoter Regions, GeneticTransduction, GeneticTransgenesVirus InactivationPeptide Elongation Factor 1

Identifiers

PMID15550928
OpenAlexW2051916846

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.