Evidence map›Paper›PMID 31065251›Full record

ArticleFrontiers in microbiology2019

High-Throughput Characterization of Viral and Cellular Protein Expression Patterns During JC Polyomavirus Infection.

Jeanne K DuShane, Michael P Wilczek, Mason A Crocker, Melissa S Maginnis

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  3. Article
  4. Review
  5. Review
  6. Article
  7. In-Cell Western Assay in Ferroptosis.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Human DNA Virus Exploitation of the MAPK-ERK Cascade.International journal of molecular sciences · 2019
    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

4 authors at 1 institution in 1 country.

Jeanne K DuShaneDepartment of Molecular and Biomedical Sciences, The University of Maine, Orono, ME, United States.
Michael P WilczekDepartment of Molecular and Biomedical Sciences, The University of Maine, Orono, ME, United States.
Mason A CrockerDepartment of Molecular and Biomedical Sciences, The University of Maine, Orono, ME, United States.
Melissa S MaginnisDepartment of Molecular and Biomedical Sciences, The University of Maine, Orono, ME, United States.
University of Maine · US

Funding

The Maine Biomedical Research Network (INBRE)P20GM103423 · NIGMS · MOUNT DESERT ISLAND BIOLOGICAL LAB · PI JAMES A COFFMAN · 2012 to 2026
$60.0M
NIGMS NIH HHS P20 GM103423
6 · The paper itself

Abstract

JC polyomavirus (JCPyV) is a ubiquitous human pathogen and the causative agent of a fatal demyelinating disease in severely immunocompromised individuals. Due to the lack of successful pharmacological interventions, the study of JCPyV infection strategies in a rapid and highly sensitive manner is critical for the characterization of potential antiviral therapeutics. Conventional methodologies for studying viral infectivity often utilize the detection of viral proteins through immunofluorescence microscopy-based techniques. While these methodologies are well established in the field, they require significant time investments and lack a high-throughput modality. Scanning imager-based detection methods like the In-cell Western (ICW)

Indexed as

high-throughputinfectivityJC polyomavirusnear-infrared detectionprotein expression

Identifiers

PMID31065251
PMCPMC6489551
OpenAlexW2936736722

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.