Evidence map›Paper›PMID 25254386›Full record

ReviewViruses2014

Retroviral vectors for analysis of viral mutagenesis and recombination.

Jonathan M O Rawson, Louis M Mansky

Abstract readReview
In one paragraph

Review in Viruses, 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
–field-weighted citation impact
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.

  1. Review
  2. Multifunctional facets of retrovirus integrase.World journal of biological chemistry · 2015
    Review
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

2 authors.

Jonathan M O RawsonInstitute for Molecular Virology, University of Minnesota, Moos Tower 18-242, 515 Delaware St SE, Minneapolis, MN 55455, USA. rawso018@umn.edu.
Louis M ManskyInstitute for Molecular Virology, University of Minnesota, Moos Tower 18-242, 515 Delaware St SE, Minneapolis, MN 55455, USA. mansky@umn.edu.

Funding

Minnesota Training Program in VirologyT32AI083196 · NIAID · UNIVERSITY OF MINNESOTA · PI Louis M Mansky · 2010 to 2026
$3.2M
HIV Reverse Transcriptase-Mediated MutagenesisR01GM105876 · NIGMS · UNIVERSITY OF MINNESOTA · PI KIM, BAEK, MANSKY, LOUIS M. · 2013 to 2016
$2.4M
NIAID NIH HHS T32 AI083196NIGMS NIH HHS R01 GM105876
6 · The paper itself

Abstract

Retrovirus population diversity within infected hosts is commonly high due in part to elevated rates of replication, mutation, and recombination. This high genetic diversity often complicates the development of effective diagnostics, vaccines, and antiviral drugs. This review highlights the diverse vectors and approaches that have been used to examine mutation and recombination in retroviruses. Retroviral vectors for these purposes can broadly be divided into two categories: those that utilize reporter genes as mutation or recombination targets and those that utilize viral genes as targets of mutation or recombination. Reporter gene vectors greatly facilitate the detection, quantification, and characterization of mutants and/or recombinants, but may not fully recapitulate the patterns of mutagenesis or recombination observed in native viral gene sequences. In contrast, the detection of mutations or recombination events directly in viral genes is more biologically relevant but also typically more challenging and inefficient. We will highlight the advantages and disadvantages of the various vectors and approaches used as well as propose ways in which they could be improved.

Indexed as

Mutagenesis, InsertionalRecombination, GeneticAnimalsGene ExpressionGenes, ReporterGenetic VectorsHumansRetroviridaeTransgenesVirus Integration

Identifiers

PMID25254386
PMCPMC4189041

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.