Evidence mapPaperPMID 41940674Full record

ReviewJournal of virology2026

Exploring coronavirus cell entry with functional viromics.

Victoria Jefferson, Ariel Endlich-Frazier, Michael Letko

Abstract readReview
In one paragraph

Review in Journal of virology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Victoria JeffersonPaul G. Allen School for Global Health, Washington State University, Pullman, Washington, USA.ORCID 0000-0003-3056-1813
Ariel Endlich-FrazierPaul G. Allen School for Global Health, Washington State University, Pullman, Washington, USA.
Michael LetkoPaul G. Allen School for Global Health, Washington State University, Pullman, Washington, USA.ORCID 0000-0002-7640-2861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past 2 decades, viral discovery has uncovered thousands of novel coronaviruses in wildlife, including viruses with high similarity to known human pathogens. As human coronaviruses emerge from cross-species transmission events involving wildlife and humans, their frequent discovery in wildlife suggests these viruses will continue to impact global health. Unfortunately, while viruses are discovered often, laboratory limitations have stymied research on experimentally assessing their zoonotic potential. Thus, new laboratory approaches and research mindsets are needed to functionally characterize the ever-growing virome. Here, we discuss several platforms we have developed and the resulting advancements made toward functionally annotating the virome, which we refer to collectively as "functional viromics." We also explore how these approaches may be adapted to assess other viral phenotypes and how laboratory-derived data sets on viral functions will improve next-generation models of zoonotic risk.

Indexed as

CoronavirusCoronavirus InfectionsVirus InternalizationAnimalsAnimals, WildChiropteraHumansZoonosesbatcoronavirushedgehogpangolinreceptorspill overtranmissionviral entryzoonosis

Identifiers

PMID41940674
PMCPMC13185572

What Socratic 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 Socratic graph.