Evidence map›Paper›PMID 28683318›Full record

ArticleCell reports2017

Analysis of IAV Replication and Co-infection Dynamics by a Versatile RNA Viral Genome Labeling Method.

Dan Dou, Iván Hernández-Neuta, Hao Wang, Henrik Östbye, Xiaoyan Qian, Swantje Thiele, Patricia Resa-Infante, Nancy Mounogou Kouassi, Vicky Sender, Karina Hentrich and 5 more

Abstract read
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In one paragraph

Article in Cell reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
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  6. Article
  7. Article
  8. Review
  9. Negative and ambisense RNA virus ribonucleocapsids: more than protective armor.Microbiology and molecular biology reviews : MMBR · 2023
    Review
  10. Article
  11. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Dan DouDepartment of Biochemistry and Biophysics, Stockholm University, 10691 Stockholm, Sweden.
Iván Hernández-NeutaDepartment of Biochemistry and Biophysics, Stockholm University, 10691 Stockholm, Sweden; Science for Life Laboratory, 17121 Stockholm, Sweden.
Hao WangDepartment of Biochemistry and Biophysics, Stockholm University, 10691 Stockholm, Sweden.
Henrik ÖstbyeDepartment of Biochemistry and Biophysics, Stockholm University, 10691 Stockholm, Sweden.
Xiaoyan QianDepartment of Biochemistry and Biophysics, Stockholm University, 10691 Stockholm, Sweden; Science for Life Laboratory, 17121 Stockholm, Sweden.
Swantje ThieleHeinrich Pette Institute, Leibniz Institute for Experimental Virology, 20251 Hamburg, Germany.
Patricia Resa-InfanteHeinrich Pette Institute, Leibniz Institute for Experimental Virology, 20251 Hamburg, Germany.
Nancy Mounogou KouassiHeinrich Pette Institute, Leibniz Institute for Experimental Virology, 20251 Hamburg, Germany.
Vicky SenderDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17177 Stockholm, Sweden.
Karina HentrichDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17177 Stockholm, Sweden.
Peter MellrothDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17177 Stockholm, Sweden.
Birgitta Henriques-NormarkDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17177 Stockholm, Sweden; Clinical Microbiology, Karolinska University Hospital, 17176 Stockholm, Sweden; SCELSE and LKC, Nanyang Technological University (NTU), Singapore 639798, Singapore.
Gülsah GabrielHeinrich Pette Institute, Leibniz Institute for Experimental Virology, 20251 Hamburg, Germany.
Mats NilssonDepartment of Biochemistry and Biophysics, Stockholm University, 10691 Stockholm, Sweden; Science for Life Laboratory, 17121 Stockholm, Sweden. Electronic address: mats.nilsson@scilifelab.se.
Robert DanielsDepartment of Biochemistry and Biophysics, Stockholm University, 10691 Stockholm, Sweden. Electronic address: robertd@dbb.su.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome delivery to the proper cellular compartment for transcription and replication is a primary goal of viruses. However, methods for analyzing viral genome localization and differentiating genomes with high identity are lacking, making it difficult to investigate entry-related processes and co-examine heterogeneous RNA viral populations. Here, we present an RNA labeling approach for single-cell analysis of RNA viral replication and co-infection dynamics in situ, which uses the versatility of padlock probes. We applied this method to identify influenza A virus (IAV) infections in cells and lung tissue with single-nucleotide specificity and to classify entry and replication stages by gene segment localization. Extending the classification strategy to co-infections of IAVs with single-nucleotide variations, we found that the dependence on intracellular trafficking places a time restriction on secondary co-infections necessary for genome reassortment. Altogether, these data demonstrate how RNA viral genome labeling can help dissect entry and co-infections.

Indexed as

Genome, ViralVirus ReplicationAnimalsDogsEpithelial CellsHEK293 CellsHumansInfluenza A virusMadin Darby Canine Kidney CellsMaleMiceMice, Inbred BALB CMice, Inbred C57BLRNA, ViralSingle-Cell AnalysisStaining and LabelingRNA, ViralViral ProteinsIAV cell co-infectionsIAV entryIAV replication cycleinfluenza A virusRNA labelingRNA virusessingle-cell IAV genome traffickingsingle-nucleotide specificityviral genome labeling and localizationvRNAs

Identifiers

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Textmetadata
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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.