Evidence map›Paper›PMID 28660237›Full record

ArticleBio-protocol2017

Analysis of Replicative Intermediates of Adeno-associated Virus through Hirt Extraction and Southern Blotting.

Martino Bardelli, Francisco Zarate-Perez, Leticia Agundez, Nelly Jolinon, R Michael Linden, Carlos R Escalante, Els Henckaerts

Open access · greenAbstract read
In one paragraph

Article in Bio-protocol, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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 2 countries.

Martino BardelliDepartment of Infectious Diseases, King's College London, London, United Kingdom.
Francisco Zarate-PerezDepartment of Physiology and Biophysics, Virginia Commonwealth University School of Medicine, Richmond VA, USA.
Leticia AgundezDepartment of Infectious Diseases, King's College London, London, United Kingdom.
Nelly JolinonDepartment of Infectious Diseases, King's College London, London, United Kingdom.
R Michael LindenDepartment of Infectious Diseases, King's College London, London, United Kingdom.
Carlos R EscalanteDepartment of Physiology and Biophysics, Virginia Commonwealth University School of Medicine, Richmond VA, USA.
Els HenckaertsDepartment of Infectious Diseases, King's College London, London, United Kingdom.
King's College London · GBVirginia Commonwealth University · US

Funding

Structural and Mechanistic Insights into AAV Rep Mediated Site-Specific Integration and PackagingR01GM124204 · NIGMS · VIRGINIA COMMONWEALTH UNIVERSITY · PI Carlos R Escalante · 2017 to 2026
$4.2M
AAV Rep-DNA Complexes Underlaying Site-specific IntegrationR01GM092854 · NIGMS · VIRGINIA COMMONWEALTH UNIVERSITY · PI ESCALANTE, CARLOS R · 2010 to 2013
$1.1M
Medical Research Council G1001764NIGMS NIH HHS R01 GM092854NIGMS NIH HHS R01 GM124204
6 · The paper itself

Abstract

Adeno-associated virus (AAV) is a small single-stranded DNA virus that requires the presence of a helper virus, such as adenovirus or herpes virus, to efficiently replicate its genome. AAV DNA is replicated by a rolling-hairpin mechanism (Ward, 2006), and during replication several DNA intermediates can be detected. This detailed protocol describes how to analyze the AAV DNA intermediates formed during AAV replication using a modified Hirt extract (Hirt, 1967) procedure and Southern blotting (Southern, 1975).

Indexed as

AAVAdeno-associated virusDNA replicationReplicative intermediatesSouthern blot

Identifiers

PMID28660237
PMCPMC5484404
OpenAlexW2612923200

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.