Evidence map›Paper›PMID 24039615›Full record

ArticleCurrent proteomics2010

Dissecting virus-plant interactions through proteomics approaches.

Kai Xu, Peter D Nagy

Open access · greenAbstract read
In one paragraph

Article in Current proteomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 19 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.

Kai XuDepartment of Plant Pathology, University of Kentucky, Lexington, KY.
Peter D Nagy
University of Kentucky · US

Funding

Functional role of a host metabolic enzyme in viral replicationR21AI082143 · NIAID · UNIVERSITY OF KENTUCKY · PI NAGY, PETER · 2009 to 2010
$372k
NIAID NIH HHS R21 AI082143
6 · The paper itself

Abstract

Plant viruses exploit cellular factors, including host proteins, membranes and metabolites, for their replication in infected cells and to establish systemic infections. Besides traditional genetic, molecular, cellular and biochemical methods studying plant-virus interactions, both global and specialized proteomics methods are emerging as useful approaches for the identification of all the host proteins that play roles in virus infections. The various proteomics approaches include measuring differential protein expression in virus infected versus noninfected cells, analysis of viral and host protein components in the viral replicase or other virus-induced complexes, as well as proteome-wide screens to identify host protein - viral protein interactions using protein arrays or yeast two-hybrid assays. In this review, we will discuss the progress made in plant virology using various proteomics methods, and highlight the functions of some of the identified host proteins during viral infections. Since global proteomics approaches do not usually identify the molecular mechanism of the identified host factors during viral infections, additional experiments using genetics, biochemistry, cell biology and other approaches should also be performed to characterize the functions of host factors. Overall, the ever-improving proteomics approaches promise further understanding of plant-virus interactions that will likely result in new strategies for viral disease control in plants.

Indexed as

host factorshost-virus interactionplantprotein microarrayprotein-protein interactionProteomeRNA bindingvirusvirus replication

Identifiers

PMID24039615
PMCPMC3769790
OpenAlexW1988025858

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.