Evidence map›Paper›PMID 37376634›Full record

ArticleViruses2023

Novel Mode of nanoLuciferase Packaging in SARS-CoV-2 Virions and VLPs Provides Versatile Reporters for Virus Production.

Rebekah C Gullberg, Judith Frydman

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
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.

Rebekah C GullbergDepartment of Biology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-0087-3958
Judith FrydmanDepartment of Biology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-2302-6943
Stanford University · US

Funding

PROTEIN FOLDING IN THE EUKARYOTIC CYTOSOLR01GM056433 · NIGMS · STANFORD UNIVERSITY · PI Judith Frydman · 1997 to 2026
$5.0M
Defining the role of Host Hsp70 Subnetworks in Dengue Virus ReplicationR01AI127447 · NIAID · STANFORD UNIVERSITY · PI FRYDMAN, JUDITH · 2017 to 2021
$2.4M
NIAID NIH HHS R01 AI127447NIGMS NIH HHS R01 GM056433NIH HHS NIH R01AI127447
6 · The paper itself

Abstract

SARS-CoV-2 is a positive-strand RNA virus in the Coronaviridae family that is responsible for morbidity and mortality worldwide. To better understand the molecular pathways leading to SARS-CoV-2 virus assembly, we examined a virus-like particle (VLP) system co-expressing all structural proteins together with an mRNA reporter encoding nanoLuciferase (herein nLuc). Surprisingly, the 19 kDa nLuc protein itself was encapsidated into VLPs, providing a better reporter than nLuc mRNA itself. Strikingly, infecting nLuc-expressing cells with the SARS-CoV-2, NL63 or OC43 coronaviruses yielded virions containing packaged nLuc that served to report viral production. In contrast, infection with the flaviviruses, dengue or Zika, did not lead to nLuc packaging and secretion. A panel of reporter protein variants revealed that the packaging is size-limited and requires cytoplasmic expression, indicating that the large virion of coronaviruses can encaspidate a small cytoplasmic reporter protein. Our findings open the way for powerful new approaches to measure coronavirus particle production, egress and viral entry mechanisms.

Indexed as

COVID-19Zika VirusZika Virus InfectionHumansSARS-CoV-2VirionantiviralscoronavirusCOVID-19drugs screensnanoLuciferase assaySARS-CoV-2virus assemblyvirus egressvirus reportersVLP

Identifiers

PMID37376634
PMCPMC10301038
OpenAlexW4380048496

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.