Evidence map›Paper›PMID 26015977›Full record

ArticleMolecular therapy. Methods & clinical development2014

Generation of X-CGD cells for vector evaluation from healthy donor CD34(+) HSCs by shRNA-mediated knock down of gp91(phox).

Christian Brendel, Kerstin B Kaufmann, Anja Krattenmacher, Shweta Pahujani, Manuel Grez

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Methods & clinical development, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Christian BrendelInstitute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus , Frankfurt, Germany.
Kerstin B KaufmannInstitute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus , Frankfurt, Germany.
Anja KrattenmacherInstitute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus , Frankfurt, Germany.
Shweta PahujaniInstitute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus , Frankfurt, Germany.
Manuel GrezInstitute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus , Frankfurt, Germany.
Georg Speyer Haus · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innovative approaches for the treatment of rare inherited diseases are hampered by limited availability of patient derived samples for preclinical research. This also applies for the evaluation of novel vector systems for the gene therapy of monogenic hematological diseases like X-linked chronic granulomatous disease (X-CGD), a severe primary immunodeficiency caused by mutations in the gp91(phox) subunit of the phagocytic NADPH oxidase. Since current gene therapy protocols involve ex vivo gene modification of autologous CD34(+) hematopoietic stem cells (HSC), the ideal preclinical model should simulate faithfully this procedure. However, the low availability of patient-derived CD34(+) cells limits the feasibility of this approach. Here, we describe a straightforward experimental strategy that circumvents this limitation. The knock down of gp91(phox) expression upon lentiviral delivery of shRNAs into CD34(+) cells from healthy donors generates sufficient amounts of X-CGD CD34(+) cells which subsequently can be used for the evaluation of novel gene therapeutic strategies using a codon-optimized gp91(phox) transgene. We have used this strategy to test the potential of a novel gene therapy vector for X-CGD.

Identifiers

PMID26015977
PMCPMC4362359
OpenAlexW2323792244

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.