Evidence map›Paper›PMID 37212605›Full record

ArticleMicrobiology spectrum2023

Culture-Independent Workflow for Nanopore MinION-Based Sequencing of Influenza A Virus.

Mojnu Miah, Mohammad Enayet Hossain, Rashedul Hasan, Md Shaheen Alam, Joynob Akter Puspo, Md Mahmudul Hasan, Ariful Islam, Sukanta Chowdhury, Mohammed Ziaur Rahman

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Nanopore sequencing in veterinary medicine: from concepts to clinical applications.Frontiers in cellular and infection microbiology · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Improved influenza A whole-genome sequencing protocol.Frontiers in cellular and infection microbiology · 2024
    Article
  13. Article
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

9 authors at 2 institutions in 3 countries.

Mojnu MiahInfectious Diseases Division, ICDDR,B, Dhaka, Bangladesh.
Mohammad Enayet HossainInfectious Diseases Division, ICDDR,B, Dhaka, Bangladesh.ORCID 0000-0001-5511-1857
Rashedul HasanInfectious Diseases Division, ICDDR,B, Dhaka, Bangladesh.
Md Shaheen AlamInfectious Diseases Division, ICDDR,B, Dhaka, Bangladesh.
Joynob Akter PuspoInfectious Diseases Division, ICDDR,B, Dhaka, Bangladesh.
Md Mahmudul HasanInfectious Diseases Division, ICDDR,B, Dhaka, Bangladesh.
Ariful IslamEcoHealth Alliance, New York, New York, USA.
Sukanta ChowdhuryInfectious Diseases Division, ICDDR,B, Dhaka, Bangladesh.
Mohammed Ziaur RahmanInfectious Diseases Division, ICDDR,B, Dhaka, Bangladesh.
International Centre for Diarrhoeal Disease Research · BDDeakin University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing (WGS) of influenza A virus (IAV) is crucial for identifying diverse subtypes and newly evolved variants and for selecting vaccine strains. In developing countries, where facilities are often inadequate, WGS is challenging to perform using conventional next-generation sequencers. In this study, we established a culture-independent, high-throughput native barcode amplicon sequencing workflow that can sequence all influenza subtypes directly from a clinical specimen. All segments of IAV in 19 clinical specimens, irrespective of their subtypes, were amplified simultaneously using a two-step reverse transcriptase PCR (RT-PCR) system. First, the library was prepared using the ligation sequencing kit, barcoded individually using the native barcodes, and sequenced on the MinION MK 1C platform with real-time base-calling. Then, subsequent data analyses were performed with the appropriate tools. WGS of 19 IAV-positive clinical samples was carried out successfully with 100% coverage and 3,975-fold mean coverage for all segments. This easy-to-install and low-cost capacity-building protocol took only 24 h complete from extracting RNA to obtaining finished sequences. Overall, we developed a high-throughput portable sequencing workflow ideal for resource-limited clinical settings, aiding in real-time surveillance, outbreak investigation, and the detection of emerging viruses and genetic reassortment events. However, further evaluation is required to compare its accuracy with other high-throughput sequencing technologies to validate the widespread application of these findings, including WGS from environmental samples.

Indexed as

Influenza A virusInfluenza, HumanNanoporesHumansWhole Genome SequencingWorkflowclinical specimenhigh throughputinfluenzaMinIONwhole genome

Identifiers

PMID37212605
PMCPMC10269883
OpenAlexW4377220820

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.