Evidence map›Paper›PMID 31051174›Full record

ReviewJournal of molecular biology2019

Teaching an Old Virus New Tricks: A Review on New Approaches to Study Age-Old Questions in Influenza Biology.

Seema S Lakdawala, Nara Lee, Christopher B Brooke

Abstract readReview
In one paragraph

Review in Journal of molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Seema S LakdawalaDepartment of Microbiology and Molecular Genetics, University of Pittsburgh, School of Medicine Pittsburgh, PA 15219, USA. Electronic address: Lakdawala@pitt.edu.
Nara LeeDepartment of Microbiology and Molecular Genetics, University of Pittsburgh, School of Medicine Pittsburgh, PA 15219, USA. Electronic address: Nara.Lee@pitt.edu.
Christopher B BrookeDepartment of Microbiology, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA; Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA. Electronic address: cbrooke@illinois.edu.

Funding

The effects of influenza virus genomic heterogeneity on replication dynamics and the host responseR01AI139246 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BROOKE, CHRISTOPHER BYRON · 2018 to 2022
$1.9M
Visualization of Influenza Viral RNA AssemblyR01AI139063 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LAKDAWALA, SEEMA S. · 2018 to 2022
$1.9M
NIAID NIH HHS R01 AI139063NIAID NIH HHS R01 AI139246
6 · The paper itself

Abstract

Influenza viruses have been studied for over 80 years, yet much about the basic viral lifecycle remain unknown. However, new imaging, biochemical, and sequencing techniques have revealed significant insight into many age-old questions of influenza virus biology. In this review, we will cover the role of imaging techniques to describe unique aspects of influenza virus assembly, biochemical techniques to study viral genomic organization, and next-generation sequencing to explore influenza genomic evolution. Our goal is to provide a brief overview of how emerging techniques are being used to answer basic questions about influenza viruses. This is not a comprehensive list of emerging techniques, rather ones that we feel will continue to make significant contributions to field of influenza biology.

Indexed as

Genome, ViralHigh-Throughput Nucleotide SequencingHumansInfluenza, HumanOrthomyxoviridaeProtein BindingRNA, ViralRNA, Viralinfluenza virusmicroscopynext-generation sequencingRNA–protein interactionsRNA–RNA interactions

Identifiers

PMID31051174
PMCPMC6821588

What OpenQuestion holds

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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.