Evidence map›Paper›PMID 36890572›Full record

ArticleVirology journal2023

TaME-seq2: tagmentation-assisted multiplex PCR enrichment sequencing for viral genomic profiling.

Alexander Hesselberg Løvestad, Milan S Stosic, Jean-Marc Costanzi, Irene Kraus Christiansen, Hege Vangstein Aamot, Ole Herman Ambur, Trine B Rounge

Abstract read
In one paragraph

Article in Virology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Alexander Hesselberg Løvestad *Faculty of Health Sciences, OsloMet - Oslo Metropolitan University, Oslo, Norway.
Milan S Stosic *Faculty of Health Sciences, OsloMet - Oslo Metropolitan University, Oslo, Norway.
Jean-Marc CostanziDepartment of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway.
Irene Kraus ChristiansenDepartment of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway.
Hege Vangstein AamotDepartment of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway.
Ole Herman AmburFaculty of Health Sciences, OsloMet - Oslo Metropolitan University, Oslo, Norway. olam@oslomet.no.
Trine B RoungeDepartment of Research, Cancer Registry of Norway, Oslo, Norway. t.b.rounge@farmasi.uio.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreviously developed TaME-seq method for deep sequencing of HPV, allowed simultaneous identification of the human papillomavirus (HPV) DNA consensus sequence, low-frequency variable sites, and chromosomal integration events. The method has been successfully validated and applied to the study of five carcinogenic high-risk (HR) HPV types (HPV16, 18, 31, 33, and 45). Here, we present TaME-seq2 with an updated laboratory workflow and bioinformatics pipeline. The HR-HPV type repertoire was expanded with HPV51, 52, and 59. As a proof-of-concept, TaME-seq2 was applied on SARS-CoV-2 positive samples showing the method's flexibility to a broader range of viruses, both DNA and RNA.

resultsCompared to TaME-seq version 1, the bioinformatics pipeline of TaME-seq2 is approximately 40× faster. In total, 23 HPV-positive samples and seven SARS-CoV-2 clinical samples passed the threshold of 300× mean depth and were submitted to further analysis. The mean number of variable sites per 1 kb was ~ 1.5× higher in SARS-CoV-2 than in HPV-positive samples. Reproducibility and repeatability of the method were tested on a subset of samples. A viral integration breakpoint followed by a partial genomic deletion was found in within-run replicates of HPV59-positive sample. Identified viral consensus sequence in two separate runs was > 99.9% identical between replicates, differing by a couple of nucleotides identified in only one of the replicates. Conversely, the number of identical minor nucleotide variants (MNVs) differed greatly between replicates, probably caused by PCR-introduced bias. The total number of detected MNVs, calculated gene variability and mutational signature analysis, were unaffected by the sequencing run.

conclusionTaME-seq2 proved well suited for consensus sequence identification, and the detection of low-frequency viral genome variation and viral-chromosomal integrations. The repertoire of TaME-seq2 now encompasses seven HR-HPV types. Our goal is to further include all HR-HPV types in the TaME-seq2 repertoire. Moreover, with a minor modification of previously developed primers, the same method was successfully applied for the analysis of SARS-CoV-2 positive samples, implying the ease of adapting TaME-seq2 to other viruses.

Indexed as

COVID-19Papillomavirus InfectionsAlphapapillomavirusCOVID-19 TestingDNA, ViralGenomicsHigh-Throughput Nucleotide SequencingHuman papillomavirus 18Human Papillomavirus VirusesHumansMultiplex Polymerase Chain ReactionPapillomaviridaeReproducibility of ResultsSARS-CoV-2DNA, ViralGenomicsHPVIntra-host variationLibrary preparationNGSSARS-CoV-2Viral integrationVirology

Identifiers

PMID36890572
PMCPMC9993372

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.