Evidence map›Paper›PMID 37675839›Full record

ArticleeLife2023

Influenza virus transcription and progeny production are poorly correlated in single cells.

David J Bacsik, Bernadeta Dadonaite, Andrew Butler, Allison J Greaney, Nicholas S Heaton, Jesse D Bloom

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 21 citations in OpenAlex.

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  15. Tropism for ciliated cells is the dominant driver of influenza viral burst size in the human airway.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

6 authors at 2 institutions in 3 countries.

David J BacsikBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, United States.ORCID 0000-0003-4912-0209
Bernadeta DadonaiteBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, United States.ORCID 0000-0003-0908-6982
Andrew ButlerBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, United States.ORCID 0000-0003-3608-0463
Allison J GreaneyBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, United States.
Nicholas S HeatonDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, United States.
Jesse D BloomBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, United States.ORCID 0000-0003-1267-3408
Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZAInternational Vaccine Institute · KR

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00015 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI HENSLEY, SCOTT · 2021 to 2025
$50.7M
University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
Forecasting influenza evolution on a heterogeneous immune landscapeR01AI165821 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Jesse D Bloom, JOHN HUDDLESTON · 2022 to 2026
$3.0M
High-throughput experiments to guide influenza vaccine strain selectionR01AI127893 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2016 to 2020
$2.1M
Howard Hughes Medical InstituteNIAID NIH HHS 75N93021C00015NIAID NIH HHS R01 AI127893NIAID NIH HHS R01 AI165821NIGMS NIH HHS T32 GM007266
6 · The paper itself

Abstract

The ultimate success of a viral infection at the cellular level is determined by the number of progeny virions produced. However, most single-cell studies of infection quantify the expression of viral transcripts and proteins, rather than the amount of progeny virions released from infected cells. Here, we overcome this limitation by simultaneously measuring transcription and progeny production from single influenza virus-infected cells by embedding nucleotide barcodes in the viral genome. We find that viral transcription and progeny production are poorly correlated in single cells. The cells that transcribe the most viral mRNA do not produce the most viral progeny and often represent aberrant infections that fail to express the influenza NS gene. However, only some of the discrepancy between transcription and progeny production can be explained by viral gene absence or mutations: there is also a wide range of progeny production among cells infected by complete unmutated virions. Overall, our results show that viral transcription is a relatively poor predictor of an infected cell's contribution to the progeny population.

Indexed as

Influenza, HumanGenes, ViralGenome, ViralHumansMutationViral Transcriptiongeneticsgenomicsinfectious diseaseinfluenza virusmicrobiologyNSsingle-cell transcriptomicsviruses

Identifiers

PMID37675839
PMCPMC10484525
OpenAlexW4384028963

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.