Evidence map›Paper›PMID 35410128›Full record

ArticleBMC genomics2022

DeepSARS: simultaneous diagnostic detection and genomic surveillance of SARS-CoV-2.

Alexander Yermanos, Kai-Lin Hong, Andreas Agrafiotis, Jiami Han, Sarah Nadeau, Cecilia Valenzuela, Asli Azizoglu, Roy Ehling, Beichen Gao, Michael Spahr and 13 more

Abstract read
In one paragraph

Article in BMC genomics, 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. Review
  2. Review
  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

23 authors.

Alexander Yermanos *Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland. ayermanos@gmail.com.
Kai-Lin Hong *Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Andreas AgrafiotisDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Jiami HanDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Sarah NadeauDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Cecilia ValenzuelaDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Asli AzizogluDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Roy EhlingDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Beichen GaoDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Michael SpahrDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Daniel NeumeierDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Ching-Hsiang ChangDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Andreas DounasInstitute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
Ezequiel PetrilloInstituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE-UBA-CONICET), Ciudad Universitaria, Buenos Aires, Argentina.
Ina NissenDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Elodie BurcklenDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Mirjam FeldkampDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Christian BeiselDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Annette OxeniusInstitute of Microbiology, ETH Zurich, Zurich, Switzerland.
Miodrag SavicDepartment of Health, Economics and Health Directorate Canton Basel-Landschaft, Liestal, Switzerland.
Tanja StadlerDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Fabian RudolfDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland. fabian.rudolf@bag.admin.ch.
Sai T ReddyDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland. sai.reddy@ethz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe continued spread of SARS-CoV-2 and emergence of new variants with higher transmission rates and/or partial resistance to vaccines has further highlighted the need for large-scale testing and genomic surveillance. However, current diagnostic testing (e.g., PCR) and genomic surveillance methods (e.g., whole genome sequencing) are performed separately, thus limiting the detection and tracing of SARS-CoV-2 and emerging variants.

resultsHere, we developed DeepSARS, a high-throughput platform for simultaneous diagnostic detection and genomic surveillance of SARS-CoV-2 by the integration of molecular barcoding, targeted deep sequencing, and computational phylogenetics. DeepSARS enables highly sensitive viral detection, while also capturing genomic diversity and viral evolution. We show that DeepSARS can be rapidly adapted for identification of emerging variants, such as alpha, beta, gamma, and delta strains, and profile mutational changes at the population level.

conclusionsDeepSARS sets the foundation for quantitative diagnostics that capture viral evolution and diversity. DeepSARS uses molecular barcodes (BCs) and multiplexed targeted deep sequencing (NGS) to enable simultaneous diagnostic detection and genomic surveillance of SARS-CoV-2. Image was created using Biorender.com .

Indexed as

COVID-19SARS-CoV-2GenomicsHumansMutationWhole Genome Sequencing

Identifiers

PMID35410128
PMCPMC8995413

What OpenQuestion holds

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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 OpenQuestion graph.