ArticleNature protocols2014
Influenza A virus isolation, culture and identification.
Article in Nature protocols, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers.
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.
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.
Who cites it
136 citing papers in PubMed, 239 citations in OpenAlex.
- Randomized, double-blind, placebo-controlled clinical trial to assess the safety and effectiveness of a novel dual-action oral topical formulation against upper respiratory infections.BMC infectious diseases · 2017Trial
- Preclinical characterization of HEC116094, an oral inhibitor of the influenza A virus polymerase PB2 subunit.Emerging microbes & infections · 2026Article
- Respiratory viruses activate autophagy via the IFN-STAT1/STAT5B-SOCS1 axis.PLoS pathogens · 2026Article
- Electrochemical and optical biosensors as transformative tools for multiplex detection of influenza viruses.Archives of microbiology · 2026Review
- Re-engineering segment 8 facilitates generation of a versatile live-attenuated influenza A virus vector platform for secretory protein delivery.Journal of virology · 2026Article
- Peroxidase-Mimicking Nanozymes for Rapid Detection of Infectious Diseases.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Article
- Influ-BERT: a domain-adaptive genomic language model for advancing influenza A virus research.Briefings in bioinformatics · 2026Article
- Evaluation of the inactivation of avian influenza virus in duck meat through electron beam irradiation.Food science of animal resources · 2026Article
- Article
- Highly Pathogenic Avian Influenza: Tracking the Progression from IAV (H5N1) to IAV (H7N9) and Preparing for Emerging Challenges.Microorganisms · 2025Review
- A naturally occurring NS1 variant with effector domain deletion gains growth advantages in influenza virus infection.Emerging microbes & infections · 2025Article
- Comparative pathogenicity of goose parvovirus across different epidemic lineages in ducklings and goslings.Virulence · 2025Article
- Comparative evaluation of different transport media for H5N1 highly pathogenic avian influenza virus.Scientific reports · 2025Article
- Seasonal PMParticle and fibre toxicology · 2025Article
- LAIV Mutations Selectively Alter Influenza Viral RNA Polymerase Function, Favoring Transcription over Genome Synthesis.Viruses · 2025Article
- Review
- Phenotypic screening in influenza-infected zebrafish identifies Nrf2-mediated compound protective against ischemia-reperfusion injury.iScience · 2025Article
- Effects of influenza A infection on liberation of bacteria from biofilms and inflammatory response in anMicrobiology (Reading, England) · 2025Article
- Fecal and Environmental Shedding of Influenza A Virus in Brazilian Swine: Genomic Evidence of Recent Human-to-Swine Transmission.Pathogens (Basel, Switzerland) · 2025Article
76 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Influenza A viruses (IAVs) cause epidemics and pandemics that result in considerable financial burden and loss of human life. To manage annual IAV epidemics and prepare for future pandemics, an improved understanding of how IAVs emerge, transmit, cause disease and acquire pandemic potential is urgently needed. Fundamental techniques essential for procuring such knowledge are IAV isolation and culture from experimental and surveillance samples. Here we present a detailed protocol for IAV sample collection and processing, amplification in chicken eggs or mammalian cells, and identification from samples containing unknown pathogens. This protocol is robust, and it allows for the generation of virus cultures that can be used for downstream analyses. Once experimental or surveillance samples are obtained, virus cultures can be generated and the presence of IAVs can be verified in 3-5 d via reverse-transcription (RT)-PCR or hemagglutination assay. Increased time frames may be required for less experienced laboratory personnel, or when large numbers of samples will be processed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.