Evidence map›Paper›PMID 17898799›Full record

ArticleGene therapy2007

OuaSelect, a novel ouabain-resistant human marker gene that allows efficient cell selection within 48 h.

A Treschow, C Unger, A Aints, U Felldin, J Aschan, M S Dilber

Abstract read
PubMed Publisher
In one paragraph

Article in Gene therapy, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 2 countries.

A TreschowDepartment of Medicine, Division of Hematology, Karolinska Institutet at Karolinska University Hospital Huddinge, Stockholm, Sweden.
C Unger
A Aints
U Felldin
J Aschan
M S Dilber
Karolinska Institutet · SEKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient selection of gene-modified cells is required for a number of potential gene therapy applications, as well as molecular biology studies. Ideally, a clinical selection regimen would combine high selection speed, efficiency and efficacy, in addition to clinical grade selection techniques and low immunogenicity. To our knowledge, a selection marker satisfying all these features is so far not available. Ouabain is a clinically used cardiac glycoside and selective Na(+)/K(+)-ATPase inhibitor. On the basis of the high sensitivity of human Na(+)/K(+)-ATPase proteins to ouabain, and rapid killing of cells upon exposure, we have screened the ubiquitously expressed Na(+)/K(+)-ATPase alpha1 subunit for mutations that could greatly increase its resistance to ouabain. Two amino-acid substitutions, Q118R and N129D were sufficient to confer a two log greater resistance to ouabain in HeLa, Jurkat, U2OS cells and in primary cells. Furthermore, following transduction of primary lymphocytes with the alpha1(Q118R/N129D) gene, >99% pure populations of gene-modified cells were achieved with a recovery rate of >80% after 48 h of exposure to ouabain. These results identify the human alpha1(Q118R/N129D) (OuaSelect) as a promising selection marker gene for safe, rapid and cost-effective selection in clinical gene therapy and molecular biology research.

Indexed as

MutationAnimalsCell LineDrug ResistanceFlow CytometryGenetic EngineeringGenetic MarkersGenetic TherapyGenetic VectorsHeLa CellsHumansJurkat CellsLymphocytesMutagenesis, Site-DirectedOuabainRatsATP1A1 protein, humanGenetic MarkersOuabainSodium-Potassium-Exchanging ATPase

Identifiers

PMID17898799
OpenAlexW1994717993

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.