Evidence map›Paper›PMID 37500668›Full record

ArticleNature communications2023

Cellular state landscape and herpes simplex virus type 1 infection progression are connected.

Maija K Pietilä, Jana J Bachmann, Janne Ravantti, Lucas Pelkmans, Cornel Fraefel

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Maija K PietiläInstitute of Virology, University of Zurich, Zurich, Switzerland. maija.pietilae@uzh.ch.ORCID 0000-0002-8206-9903
Jana J BachmannInstitute of Virology, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-4268-2746
Janne RavanttiMolecular and Integrative Biosciences Research Programme, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-8578-7230
Lucas PelkmansDepartment of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Cornel FraefelInstitute of Virology, University of Zurich, Zurich, Switzerland. cornel.fraefel@uzh.ch.ORCID 0000-0001-7221-6706
University of Zurich · CHUniversity of Helsinki · FI

Funding

Swiss National Science Foundation 310030_184766Swiss National Science Foundation 310030_192622Swiss National Science Foundation 310030_212248
6 · The paper itself

Abstract

Prediction, prevention and treatment of virus infections require understanding of cell-to-cell variability that leads to heterogenous disease outcomes, but the source of this heterogeneity has yet to be clarified. To study the multimodal response of single human cells to herpes simplex virus type 1 (HSV-1) infection, we mapped high-dimensional viral and cellular state spaces throughout the infection using multiplexed imaging and quantitative single-cell measurements of viral and cellular mRNAs and proteins. Here we show that the high-dimensional cellular state scape can predict heterogenous infections, and cells move through the cellular state landscape according to infection progression. Spatial information reveals that infection changes the cellular state of both infected cells and of their neighbors. The multiplexed imaging of HSV-1-induced cellular modifications links infection progression to changes in signaling responses, transcriptional activity, and processing bodies. Our data show that multiplexed quantification of responses at the single-cell level, across thousands of cells helps predict infections and identify new targets for antivirals.

Indexed as

Herpes SimplexHerpesvirus 1, HumanAntiviral AgentsHumansRNA, MessengerVirus ReplicationAntiviral AgentsRNA, Messenger

Identifiers

PMID37500668
PMCPMC10374626
OpenAlexW4385330290

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.