Evidence map›Paper›PMID 32887347›Full record

ArticleInternational journal of molecular sciences2020

High-Throughput Cloning and Characterization of Emerging Adenovirus Types 70, 73, 74, and 75.

Wenli Zhang, Kemal Mese, Sebastian Schellhorn, Nora Bahlmann, Nicolas Mach, Oskar Bunz, Akshay Dhingra, Elias Hage, Marie-Edith Lafon, Harald Wodrich and 2 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

12 authors.

Wenli ZhangVirology and Microbiology, Center for Biomedical Education and Research (ZBAF), Department of Human Medicine, Faculty of Health, Witten/Herdecke University, 58453 Witten, Germany.
Kemal MeseVirology and Microbiology, Center for Biomedical Education and Research (ZBAF), Department of Human Medicine, Faculty of Health, Witten/Herdecke University, 58453 Witten, Germany.
Sebastian SchellhornVirology and Microbiology, Center for Biomedical Education and Research (ZBAF), Department of Human Medicine, Faculty of Health, Witten/Herdecke University, 58453 Witten, Germany.ORCID 0000-0002-2786-7734
Nora BahlmannVirology and Microbiology, Center for Biomedical Education and Research (ZBAF), Department of Human Medicine, Faculty of Health, Witten/Herdecke University, 58453 Witten, Germany.
Nicolas MachVirology and Microbiology, Center for Biomedical Education and Research (ZBAF), Department of Human Medicine, Faculty of Health, Witten/Herdecke University, 58453 Witten, Germany.
Oskar BunzVirology and Microbiology, Center for Biomedical Education and Research (ZBAF), Department of Human Medicine, Faculty of Health, Witten/Herdecke University, 58453 Witten, Germany.ORCID 0000-0003-1483-8827
Akshay DhingraInstitut für Virologie, Adenovirus Konsiliarlabor, Medizinische Hochschule, 30625 Hannover, Germany.
Elias HageInstitut für Virologie, Adenovirus Konsiliarlabor, Medizinische Hochschule, 30625 Hannover, Germany.
Marie-Edith LafonMicrobiologie Fondamentale et Pathogénicité, Université de Bordeaux, 33076 Bordeaux, France.
Harald WodrichMicrobiologie Fondamentale et Pathogénicité, Université de Bordeaux, 33076 Bordeaux, France.ORCID 0000-0002-4764-1708
Albert HeimInstitut für Virologie, Adenovirus Konsiliarlabor, Medizinische Hochschule, 30625 Hannover, Germany.
Anja EhrhardtVirology and Microbiology, Center for Biomedical Education and Research (ZBAF), Department of Human Medicine, Faculty of Health, Witten/Herdecke University, 58453 Witten, Germany.

Funding

Deutsche Forschungsgemeinschaft EH 192/5-3Internal Research Funds of the Witten/Herdecke University IFF2017-17
6 · The paper itself

Abstract

Recently an increasing number of new adenovirus types associated with type-dependent pathogenicity have been identified. However, identification of these clinical isolates represents the very first step to characterize novel pathogens. For deeper analyses, these adenoviruses need to be further characterized in basic virology experiments or they could be applied in translational research. To achieve this goal, it is essential to get genetic access and to enable genetic modification of these novel adenovirus genomes (deletion, insertion, and mutation). Here we demonstrate a high-throughput approach to get genetic access to new adenoviruses via homologous recombination. We first defined the cloning conditions regarding homology arm-length and input adenoviral genome amounts. Then we cloned four naturally occurring adenoviruses (Ad70, Ad73, Ad74, and Ad75) into easy-to-manipulate plasmids and genetically modified them by reporter gene insertion. Three recombinant adenoviruses (Ad70, Ad73, and Ad74) containing a reporter cassette were successfully reconstituted. These novel reporter-labeled adenoviruses were further characterized using the inserted luciferase reporter with respect to receptor usage, presence of anti-adenovirus antibodies, and tropism in vitro. The identified receptor usage, the relatively low prevalence of anti-adenovirus antibodies, and the various cancer cell line transduction pattern are important features of these new pathogens providing essential information for their therapeutic application.

Indexed as

Genes, ReporterGenome, ViralAdenoviruses, HumanCloning, MolecularGenetic VectorsHigh-Throughput Screening AssaysHomologous RecombinationHumansemerging adenovirusesgenetic accesshigh-throughput cloninglinear-linear homologous recombinationreceptor usage

Identifiers

PMID32887347
PMCPMC7504450

What OpenQuestion holds

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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.