Evidence map›Paper›PMID 38904395›Full record

ReviewJournal of virology2024

All the single cells: if you like it then you should put some virus on it.

Sophia K Adams, Grace E Ducharme, Emma K Loveday

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of virology, 2024. 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. 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

3 authors.

Sophia K Adams *Department of Chemistry and Biochemistry, Montana State University, Bozeman, Montana, USA.
Grace E Ducharme *Center for Biofilm Engineering, Montana State University, Bozeman, Montana, USA.
Emma K LovedayCenter for Biofilm Engineering, Montana State University, Bozeman, Montana, USA.ORCID 0000-0002-1154-7728

Funding

Single cell heterogeneity of influenza A virus genetic diversity and host adaptation using drop-based microfluidicsR21AI178432 · NIAID · MONTANA STATE UNIVERSITY - BOZEMAN · PI LOVEDAY, EMMA KATE · 2023 to 2024
$421k
HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID) R21AI178432-01NIAID NIH HHS R21 AI178432U.S. Department of Health and Human Services (HHS) N7593021C00045
6 · The paper itself

Abstract

Across a rich 70-year history, single-cell virology has revealed the impact of host and pathogen heterogeneity during virus infections. Recent technological innovations have enabled higher-resolution analyses of cellular and viral heterogeneity. Furthermore, single-cell analysis has revealed extreme phenotypes and provided additional insights into host-pathogen dynamics. Using a single-cell approach to explore fundamental virology questions, contemporary researchers have contributed to a revival of interest in single-cell virology with increased insights and enthusiasm.

Indexed as

Host-Pathogen InteractionsSingle-Cell AnalysisAnimalsHumansVirologyVirus DiseasesVirusesheterogeneityhost-pathogensingle cellvirologyvirus

Identifiers

PMID38904395
PMCPMC11324023

What OpenQuestion holds

Textmetadata
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.