Evidence map›Paper›PMID 21506732›Full record

ArticleHuman gene therapy2011

p53 inhibits adeno-associated viral vector integration.

Jeana Zacharias, Liudmila G Romanova, Jeremiah Menk, Nicola J Philpott

Open access · greenAbstract read
In one paragraph

Article in Human gene therapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Jeana ZachariasDivision of Rheumatic and Autoimmune Diseases, Department of Medicine, Institute of Human Genetics, University of Minnesota, Minneapolis, MN 55455, USA.
Liudmila G Romanova
Jeremiah Menk
Nicola J Philpott
University of Minnesota · USSouthern California Clinical and Translational Science Institute · US

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Douglas Yee · 1998 to 2026
$100.4M
NCI NIH HHS P30CA77598
6 · The paper itself

Abstract

Adeno-associated viral (AAV) vectors preferentially integrate into the genome of cells that are defective in DNA repair, such as occurs with DNA-PKcs deficiency or poly(ADP-ribose) polymerase-1 down-regulation. As the tumor suppressor protein p53 regulates the transcription of many genes involved in DNA repair, we sought to determine whether functional p53 affects the efficiency of AAV integration. p53 is mutated in more than 50% of cancers, and site-specific integration of AAV into the AAVS1 site of human chromosome 19 has frequently been observed in transformed cancer cell lines, but rarely seen in primary cells or in vivo. We therefore hypothesized that p53-negative cells would be more permissive to AAV integration than p53-positive cells. The integration of a rep- and green fluorescent protein-encoding recombinant AAV vector was quantified in p53-expressing and p53-deficient HCT116 colon cancer cells. Our results show that there is a higher efficiency of AAV integration in p53-negative cells compared with p53-positive cells, indicating that p53 does indeed inhibit AAV integration. Further experiments suggest that this p53-mediated block to AAV integration is likely to be through binding of p53 to the AAV Rep protein and the consequent inhibition of Rep activity during AAV integration.

Indexed as

DependovirusGenetic VectorsHCT116 CellsHeLa CellsHumansTumor Suppressor Protein p53Virus IntegrationTumor Suppressor Protein p53

Identifiers

PMID21506732
PMCPMC3225035
OpenAlexW1964997531

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.