Evidence map›Paper›PMID 39386720›Full record

ArticlebioRxiv : the preprint server for biology2024

Single-cell virology: On-chip, quantitative characterization of the dynamics of virus spread from one single cell to another.

Wu Liu, Claus O Wilke, Jamie J Arnold, Mohamad S Sotoudegan, Craig E Cameron

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

5 authors.

Wu LiuDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
Claus O WilkeCenter for Computational Biology and Bioinformatics, Institute for Cellular and Molecular Biology, and Department of Integrative Biology, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-7470-9261
Jamie J ArnoldDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
Mohamad S SotoudeganDepartment of Microbiology and Immunology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Craig E CameronDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.

Funding

Enteroviral 2C protein as a therapeutic targetR01AI169462 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CRAIG E. CAMERON · 2022 to 2026
$3.8M
Single-Cell VirologyR01AI120560 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI CAMERON, CRAIG E., HUANG, TONY JUN · 2015 to 2017
$1.4M
NIAID NIH HHS R01 AI120560NIAID NIH HHS R01 AI169462
6 · The paper itself

Abstract

Virus spread at the single-cell level is largely uncharacterized. We have designed and constructed a microfluidic device in which each nanowell contained a single, infected cell (donor) and a single, uninfected cell (recipient). Using a GFP-expressing poliovirus as our model, we observed both lytic and non-lytic spread. Donor cells supporting lytic spread established infection earlier than those supporting non-lytic spread. However, non-lytic spread established infections in recipient cells substantially faster than lytic spread and yielded higher rates of genome replication. While lytic spread was sensitive to the presence of capsid entry/uncoating inhibitors, non-lytic spread was not. Consistent with emerging models for non-lytic spread of enteroviruses using autophagy, reduction of LC3 levels in cells impaired non-lytic spread and elevated the fraction of virus in donor cells spreading lytically. The ability to distinguish lytic and non-lytic spread unambiguously will enable discovery of viral and host factors and host pathways used for non-lytic spread of enteroviruses and other viruses as well.

Indexed as

enterovirusesnon-lytic spreadsecretory autophagysingle cell virologyviral infection dynamicsviral spread dynamics

Identifiers

PMID39386720
PMCPMC11463428

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.