Evidence map›Paper›PMID 18047689›Full record

ReviewGenome biology2007

Predicting preferential DNA vector insertion sites: implications for functional genomics and gene therapy.

Christopher S Hackett, Aron M Geurts, Perry B Hackett

Open access · bronzeAbstract readReview
In one paragraph

Review in Genome biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. DNA Transposition at Work.Chemical reviews · 2016
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Transpositional transgenesis withMobile genetic elements · 2013
    Article
  18. Evaluating risks of insertional mutagenesis by DNA transposons in gene therapy.Translational research : the journal of laboratory and clinical medicine · 2013
    Review
  19. Review
  20. 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

3 authors at 3 institutions in 1 country.

Christopher S HackettBiomedical Sciences Graduate Program and Department of Neurology, University of California San Francisco, Room U441K, Parnassus Ave, San Francisco, California 94143-0663, USA.
Aron M Geurts
Perry B Hackett
Medical College of Wisconsin · USUniversity of California, San Francisco · USUniversity of Minnesota · US

Funding

THERAPY FOR HYPERAMMONEMIA WITH GENETICALLY ENGINEERED BACTERIAP01HD032652 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI WHITLEY, CHESTER B. · 1995 to 2016
$14.5M
DEVELOPMENTAL BIOLOGY TRAINING PROGRAMT32HD007480 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI O'CONNOR, MICHAEL BRENDAN · 1995 to 2011
$1.2M
Transposon-mediated Gene Therapy for Fanconi AnemiaR43HL076908 · NHLBI · DISCOVERY GENOMICS, INC. · PI HACKETT, PERRY B · 2004 to 2004
$236k
NHLBI NIH HHS R43 HL076908NHLBI NIH HHS R43 HL076908-01NICHD NIH HHS 1P01 HD32652-07NICHD NIH HHS P01 HD032652NICHD NIH HHS T32 HD007480
6 · The paper itself

Abstract

Viral and transposon vectors have been employed in gene therapy as well as functional genomics studies. However, the goals of gene therapy and functional genomics are entirely different; gene therapists hope to avoid altering endogenous gene expression (especially the activation of oncogenes), whereas geneticists do want to alter expression of chromosomal genes. The odds of either outcome depend on a vector's preference to integrate into genes or control regions, and these preferences vary between vectors. Here we discuss the relative strengths of DNA vectors over viral vectors, and review methods to overcome barriers to delivery inherent to DNA vectors. We also review the tendencies of several classes of retroviral and transposon vectors to target DNA sequences, genes, and genetic elements with respect to the balance between insertion preferences and oncogenic selection. Theoretically, knowing the variables that affect integration for various vectors will allow researchers to choose the vector with the most utility for their specific purposes. The three principle benefits from elucidating factors that affect preferences in integration are as follows: in gene therapy, it allows assessment of the overall risks for activating an oncogene or inactivating a tumor suppressor gene that could lead to severe adverse effects years after treatment; in genomic studies, it allows one to discern random from selected integration events; and in gene therapy as well as functional genomics, it facilitates design of vectors that are better targeted to specific sequences, which would be a significant advance in the art of transgenesis.

Indexed as

Genetic TherapyGenomicsMutagenesis, InsertionalAnimalsBase SequenceDNAGenetic VectorsGenomeHumansDNA

Identifiers

PMID18047689
PMCPMC2106846
OpenAlexW1986603182

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.