Evidence map›Paper›PMID 29258922›Full record

ReviewMethods (San Diego, Calif.)2018

Flow virometry as a tool to study viruses.

J Lizbeth Reyes Zamora, Hector C Aguilar

Open access · greenAbstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
8.6field-weighted citation impact, top 3% 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

45 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

J Lizbeth Reyes ZamoraDepartment of Microbiology and Immunology, Cornell University, Ithaca, NY 14853, USA.
Hector C AguilarDepartment of Microbiology and Immunology, Cornell University, Ithaca, NY 14853, USA. Electronic address: ha363@cornell.edu.
Cornell University · US

Funding

TRAINING IN BIOTECHNOLOGY: EMPHASIS ON PROTEIN CHEMISTRYT32GM008336 · NIGMS · WASHINGTON STATE UNIVERSITY · PI CALL, DOUGLAS R. · 1989 to 2023
$8.9M
Mechanisms of Nipah virus fusion and entryR01AI109022 · NIAID · WASHINGTON STATE UNIVERSITY · PI AGUILAR-CARRENO, HECTOR · 2014 to 2024
$4.3M
NIAID NIH HHS R01 AI109022NIGMS NIH HHS T32 GM008336
6 · The paper itself

Abstract

In the last few decades, flow cytometry has redefined the field of biology, exponentially enhancing our understanding of cells, immunology, and microbiology. Flow cytometry recently gave birth to flow virometry, a new way to detect, analyze, and characterize single viral particles. Detection of viruses by flow cytometry is possible due to improvements in current flow cytometers, calibration, and tuning methods. We summarize the recent birth and novel uses of flow virometry and the progressive evolution of this tool to advance the field of virology. We also discuss the various flow virometry methods used to identify and analyze viruses. We briefly summarize other applications of flow virometry, including: virus detection, quantification, population discrimination, and viral particles' antigenic properties. Finally, we summarize how viral sorting will allow further progress of flow virometry to relate viral surface characteristics to infectivity properties.

Indexed as

Flow CytometryHumansVirionVirusesFlow cytometryFlow virometryGlycoproteinSortingVaccineVirus

Identifiers

PMID29258922
PMCPMC5815898
OpenAlexW2775776627

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.