Evidence map›Paper›PMID 31509775›Full record

ArticleJournal of virological methods2019

Flow cytometric methodology for the detection of de novo human T-cell leukemia virus -1 infection in vitro: A tool to study novel infection inhibitors.

Carina Peres, Yuetsu Tanaka, Fabiola Martin, James Fox

Open access · hybridAbstract read
In one paragraph

Article in Journal of virological methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Carina PeresDepartment of Biology & Hull York Medical School, University of York, UK.
Yuetsu TanakaGraduate School of Medicine, University of the Ryukyus, Okinawa, Japan.
Fabiola MartinDepartment of Biology & Hull York Medical School, University of York, UK.
James FoxDepartment of Biology & Hull York Medical School, University of York, UK. Electronic address: james.fox@york.ac.uk.
Hull York Medical School · GBUniversity of the Ryukyus · JPUniversity of York · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methodology to detect and study de novo human T-cell leukemia virus (HTLV)-1 infection is required to further our knowledge of the viruses' mechanisms of infection and to study potential therapeutic interventions. Whilst methodology currently exists, utilisation of an anti-Tax antibody to detect de novo Tax expression in permissive cells labelled with cell tracker allowing for the detection by flow cytometry of new infection after co-culture with donor cell lines productively infected with HTLV-1 is an alternative strategy. Using this methodology, we have been able to detect de novo infection of the T cell line HUT78 following co-culture with the productively infected HTLV-1 donor cell line MT-2 and to confirm that infection can be effectively blocked with well characterised infection inhibitors. This methodology will benefit experimental studies examining HTLV infection in vitro and may aid identification of therapeutic agents that block this process.

Indexed as

Antibodies, ViralCell LineFlow CytometryGene Products, taxHumansHuman T-lymphotropic virus 1Staining and LabelingT-LymphocytesAntibodies, ViralGene Products, taxtax protein, Human T-lymphotrophic virus 1Flow cytometryHTLV-1Human T-cell leukemia virusHuman T-lymphotropic virus-1Tax

Identifiers

PMID31509775
PMCPMC6853161
OpenAlexW2972883203

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.