Evidence map›Paper›PMID 24488789›Full record

ReviewPathogens and disease2014

Proteomic strategies for the discovery of novel diagnostic and therapeutic targets for infectious diseases.

Moushimi Amaya, Alan Baer, Kelsey Voss, Catherine Campbell, Claudius Mueller, Charles Bailey, Kylene Kehn-Hall, Emanuel Petricoin, Aarthi Narayanan

Open access · bronzeAbstract readReview
In one paragraph

Review in Pathogens and disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. The Promise of Proteomics in the Study of Oncogenic Viruses.Molecular & cellular proteomics : MCP · 2017
    Review
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

9 authors at 1 institution in 1 country.

Moushimi AmayaNational Center for Biodefense and Infectious Diseases, George Mason University, Manassas, VA, USA.
Alan Baer
Kelsey Voss
Catherine Campbell
Claudius Mueller
Charles Bailey
Kylene Kehn-Hall
Emanuel Petricoin
Aarthi Narayanan
George Mason University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses have developed numerous and elegant strategies to manipulate the host cell machinery to establish a productive infectious cycle. The interaction of viral proteins with host proteins plays an important role in infection and pathogenesis, often bypassing traditional host defenses such as the interferon response and apoptosis. Host-viral protein interactions can be studied using a variety of proteomic approaches ranging from genetic and biochemical to large-scale high-throughput technologies. Protein interactions between host and viral proteins are greatly influenced by host signal transduction pathways. In this review, we will focus on comparing proteomic information obtained through differing technologies and how their integration can be used to determine the functional aspect of the host response to infection. We will briefly review and evaluate techniques employed to elucidate viral-host interactions with a primary focus on Protein Microarrays (PMA) and Mass Spectrometry (MS) as potential tools in the discovery of novel therapeutic targets. As many potential molecular markers and targets are proteins, proteomic profiling is expected to yield both clearer and more direct answers to functional and pharmacologic questions.

Indexed as

BiomarkersDiagnostic Tests, RoutineDrug DiscoveryHost-Pathogen InteractionsHumansMass SpectrometryProtein Array AnalysisProteomicsVirus DiseasesBiomarkersmass spectrometryprotein-protein interactionsreverse-phase protein microarray

Identifiers

PMID24488789
PMCPMC7108530
OpenAlexW1979575233

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.