Evidence map›Paper›PMID 41935234›Full record

ReviewNpj viruses2026

Rage against the mean: a perspective on measuring fitness of individual phage particles.

Jyot D Antani, Paul E Turner

Abstract readReview
In one paragraph

Review in Npj viruses, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Jyot D AntaniDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA. jyot.antani@yale.edu.
Paul E TurnerDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA. paul.turner@yale.edu.

Funding

Howard Hughes Medical Institute Emerging Pathogens Initiative AwardHoward Hughes Medical Institute, United States Emerging Pathogens Initiative AwardYale University Center for Phage Biology & Therapy
6 · The paper itself

Abstract

Traditional bacteriophage methods measure population averages rather than individual particle variation. This perspective advocates for approaches to quantify trait variation in phage particles. Emerging techniques in optical microscopy and flow cytometry can reveal previously-masked phenotypic heterogeneity, offering unprecedented insights across phage infection cycle: binding kinetics, genome entry, replication, coinfection dynamics, and particle stability. This shift from population averages to individual variation represents a critical frontier for phage biology and biotechnology.

Identifiers

PMID41935234
PMCPMC13050327

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.