Evidence map›Paper›PMID 28892026›Full record

ArticleJournal of visualized experiments : JoVE2017

Purification of Viral DNA for the Identification of Associated Viral and Cellular Proteins.

Jill A Dembowski, Neal A Deluca

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 16 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

2 authors at 1 institution in 1 country.

Jill A DembowskiDepartment of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine; jad230@pitt.edu.
Neal A DelucaDepartment of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine; ndeluca@pitt.edu.
University of Pittsburgh · US

Funding

Virus-cell Interactions Affecting HSV Gene ExpressionR01AI030612 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Neal A. DeLuca · 1992 to 2026
$9.3M
REPRESSION AND ACTIVATION OF PERSISTING HSV GENOMESR01AI044821 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DELUCA, NEAL A. · 1999 to 2016
$4.3M
NIAID NIH HHS R01 AI030612NIAID NIH HHS R01 AI044821
6 · The paper itself

Abstract

The goal of this protocol is to isolate herpes simplex virus type 1 (HSV-1) DNA from infected cells for the identification of associated viral and cellular proteins by mass spectrometry. Although proteins that interact with viral genomes play major roles in determining the outcome of infection, a comprehensive analysis of viral genome associated proteins was not previously feasible. Here we demonstrate a method that enables the direct purification of HSV-1 genomes from infected cells. Replicating viral DNA is selectively labeled with modified nucleotides that contain an alkyne functional group. Labeled DNA is then specifically and irreversibly tagged via the covalent attachment of biotin azide via a copper(I)-catalyzed azide-alkyne cycloaddition or click reaction. Biotin-tagged DNA is purified on streptavidin-coated beads and associated proteins are eluted and identified by mass spectrometry. This method enables the selective targeting and isolation of HSV-1 replication forks or whole genomes from complex biological environments. Furthermore, adaptation of this approach will allow for the investigation of various aspects of herpesviral infection, as well as the examination of the genomes of other DNA viruses.

Indexed as

DNA, ViralHumansViral ProteinsDNA, ViralViral Proteins

Identifiers

PMID28892026
PMCPMC5614390
OpenAlexW2745769498

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.