Evidence map›Paper›PMID 36369470›Full record

ArticleScientific reports2022

Capturing SARS-CoV-2 from patient samples with low viral abundance: a comparative analysis.

Juliana Pipoli da Fonseca, Etienne Kornobis, Elodie Turc, Vincent Enouf, Laure Lemée, Thomas Cokelaer, Marc Monot

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Juliana Pipoli da FonsecaInstitut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015, Paris, France.
Etienne KornobisInstitut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015, Paris, France.
Elodie TurcInstitut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015, Paris, France.
Vincent EnoufNational Reference Center for Respiratory Viruses, Molecular Genetics of RNA Viruses, CNRS-UMR 3569, The Institut Pasteur, Paris, France.
Laure LeméeInstitut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015, Paris, France.
Thomas CokelaerInstitut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015, Paris, France.
Marc MonotInstitut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015, Paris, France. marc.monot@pasteur.fr.

Funding

France Génomique ANR-10-INBS-09
6 · The paper itself

Abstract

Since the beginning of the SARS-CoV-2 coronavirus pandemic, genome sequencing is essential to monitor viral mutations over time and by territory. This need for complete genetic information is further reinforced by the rapid spread of variants of concern. In this paper, we assess the ability of the hybridization technique, Capture-Seq, to detect the SARS-CoV-2 genome, either partially or in its integrity on patients samples. We studied 20 patient nasal swab samples broken down into five series of four samples of equivalent viral load from CT25 to CT36+ . For this, we tested 3 multi-virus panel as well as 2 SARS-CoV-2 only panels. The panels were chosen based on their specificity, global or specific, as well as their technological difference in the composition of the probes: ssRNA, ssDNA and dsDNA. The multi-virus panels are able to capture high-abundance targets but fail to capture the lowest-abundance targets, with a high percentage of off-target reads corresponding to the abundance of the host sequences. Both SARS-CoV-2-only panels were very effective, with high percentage of reads corresponding to the target. Overall, capture followed by sequencing is very effective for the study of SARS-CoV-2 in low-abundance patient samples and is suitable for samples with CT values up to 35.

Indexed as

COVID-19SARS-CoV-2Base SequenceCOVID-19 TestingGenome, ViralHumansPandemics

Identifiers

PMID36369470
PMCPMC9652350

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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 OpenQuestion graph.