Evidence map›Paper›PMID 19038346›Full record

ArticleMethods (San Diego, Calif.)2009

Methods for integration site distribution analyses in animal cell genomes.

Angela Ciuffi, Keshet Ronen, Troy Brady, Nirav Malani, Gary Wang, Charles C Berry, Frederic D Bushman

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

31 citing papers in PubMed, 46 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Bioinformatics and HIV latency.Current HIV/AIDS reports · 2015
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

7 authors at 2 institutions in 1 country.

Angela CiuffiInstitute of Microbiology, University Hospital Center and University of Lausanne, Bugnon 48, Lausanne 1011, Switzerland.
Keshet Ronen
Troy Brady
Nirav Malani
Gary Wang
Charles C Berry
Frederic D Bushman
University of Pennsylvania · USUniversity of California, San Diego · US

Funding

Lentivirus-based Immunogene Therapy for HIV InfectionU19AI066290 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI JUNE, CARL H. · 2005 to 2009
$7.2M
Favored Sites for HIV Integration in the Human GenomeR01AI052845 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI BUSHMAN, FREDERIC D · 2002 to 2017
$5.6M
NIAID NIH HHS AI52845NIAID NIH HHS AI66290NIAID NIH HHS R01 AI052845NIAID NIH HHS U19 AI066290
6 · The paper itself

Abstract

The question of where retroviral DNA becomes integrated in chromosomes is important for understanding (i) the mechanisms of viral growth, (ii) devising new anti-retroviral therapy, (iii) understanding how genomes evolve, and (iv) developing safer methods for gene therapy. With the completion of genome sequences for many organisms, it has become possible to study integration targeting by cloning and sequencing large numbers of host-virus DNA junctions, then mapping the host DNA segments back onto the genomic sequence. This allows statistical analysis of the distribution of integration sites relative to the myriad types of genomic features that are also being mapped onto the sequence scaffold. Here we present methods for recovering and analyzing integration site sequences.

Indexed as

AnimalsChromosomesDNA, ViralGene TargetingGenome, ViralHumansIntracellular SpaceVirus IntegrationDNA, Viral

Identifiers

PMID19038346
PMCPMC4104535
OpenAlexW2115278392

What OpenQuestion holds

Textmetadata
LicenceTDM
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.