Evidence map›Paper›PMID 36911398›Full record

ArticleFrontiers in genetics2023

Sub genomic analysis of SARS-CoV-2 using short read amplicon-based sequencing.

Lian Chye Winston Koh, Yiqi Seow, Kiat Whye Kong, Ming Li Lalita Lau, Shoban Krishna Kumar, Gabriel Yan, Chun Kiat Lee, Benedict Yan, Paul Anantharajah Tambyah, Shawn Hoon

Abstract read
In one paragraph

Article in Frontiers in genetics, 2023. 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. Article
  2. 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

10 authors.

Lian Chye Winston KohBioinformatics Institute, Agency for Science Technology and Research, Singapore.
Yiqi SeowInstitute for Bioengineering and Bioimaging, Agency for Science Technology and Research, Singapore.
Kiat Whye KongInstitute for Molecular and Cell Biology, Agency for Science Technology and Research, Singapore.
Ming Li Lalita LauInstitute for Molecular and Cell Biology, Agency for Science Technology and Research, Singapore.
Shoban Krishna KumarDivision of Advanced Internal Medicine, Department of Medicine, National University Health System, Singapore.
Gabriel YanDivision of Infectious Diseases, Department of Medicine, National University Health System, Singapore.
Chun Kiat LeeMolecular Diagnosis Centre, Department of Laboratory Medicine, National University Health System, Singapore.
Benedict YanMolecular Diagnosis Centre, Department of Laboratory Medicine, National University Health System, Singapore.
Paul Anantharajah TambyahDivision of Infectious Diseases, Department of Medicine, National University Health System, Singapore.
Shawn HoonInstitute for Molecular and Cell Biology, Agency for Science Technology and Research, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus disease 2019 (COVID-19) pandemic poses a serious public health risk. In this report, we present a modified sequencing workflow using short tiling (280bp) amplicons library preparation method paired with Illumina's iSeq100 desktop sequencer. We demonstrated the utility of our workflow in identifying gapped reads that capture characteristics of subgenomic RNA junctions within our patient cohort. These analytical and library preparation approaches allow a versatile, small footprint and decentralized deployment that can facilitate comprehensive genetics characterizations during outbreaks. Based on the sequencing data, Taqman assays were designed to accurately capture the quantity of subgenomic ORF5 and ORF7a RNA from patient samples and demonstrated utility in tracking subgenomic titres in patient samples when combined with a standard COVID-19 qRT-PCR assay.

Indexed as

genomicsSARS-CoV-2subgenomic RNAtemporaltranscriptome

Identifiers

PMID36911398
PMCPMC9998678

What OpenQuestion holds

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LicenceCC BY
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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.