Evidence map›Paper›PMID 29320424›Full record

ReviewViruses2018

A Retrospective Examination of Feline Leukemia Subgroup Characterization: Viral Interference Assays to Deep Sequencing.

Elliott S Chiu, Edward A Hoover, Sue VandeWoude

Open access · goldAbstract readReview
In one paragraph

Review in Viruses, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

28 citing papers in PubMed, 72 citations in OpenAlex.

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  17. Convergent evolution of antiviral machinery derived from endogenous retrovirus truncated envelope genes in multiple species.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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

3 authors at 1 institution in 1 country.

Elliott S ChiuDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO 80524, USA. elliott.chiu@colostate.edu.ORCID 0000-0001-7734-9305
Edward A HooverDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO 80524, USA. Edward.hoover@colostate.edu.
Sue VandeWoudeDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO 80524, USA. sue.vandewoude@colostate.edu.
Colorado State University · US

Funding

Veterinary Pre-Doctoral Research Scholars ProgramT32OD012201 · OD · COLORADO STATE UNIVERSITY · PI VANDEWOUDE, SUE · 2013 to 2019
$795k
NIH HHS T32 OD012201
6 · The paper itself

Abstract

Feline leukemia virus (FeLV) was the first feline retrovirus discovered, and is associated with multiple fatal disease syndromes in cats, including lymphoma. The original research conducted on FeLV employed classical virological techniques. As methods have evolved to allow FeLV genetic characterization, investigators have continued to unravel the molecular pathology associated with this fascinating agent. In this review, we discuss how FeLV classification, transmission, and disease-inducing potential have been defined sequentially by viral interference assays, Sanger sequencing, PCR, and next-generation sequencing. In particular, we highlight the influences of endogenous FeLV and host genetics that represent FeLV research opportunities on the near horizon.

Indexed as

Viral InterferenceAnimalsCatsEndogenous RetrovirusesGenome, ViralHigh-Throughput Nucleotide SequencingLeukemia, FelineLeukemia Virus, FelinePhylogenyPolymerase Chain ReactionRetrospective Studiesendogenous retrovirusesfeline leukemia virusnext-generation sequencingPCRphylogenetic analysisretrovirusesSanger sequencingsubgroup classificationviral interference assays

Identifiers

PMID29320424
PMCPMC5795442
OpenAlexW2783236301

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.