Evidence map›Paper›PMID 32973171›Full record

ArticleScientific reports2020

Sequence analysis of SARS-CoV-2 genome reveals features important for vaccine design.

Jacob Kames, David D Holcomb, Ofer Kimchi, Michael DiCuccio, Nobuko Hamasaki-Katagiri, Tony Wang, Anton A Komar, Aikaterini Alexaki, Chava Kimchi-Sarfaty

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 9% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Clinical applications of detecting IgG, IgM or IgA antibody for the diagnosis of COVID-19: A meta-analysis and systematic review.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Pooled it
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  20. COVID-19 Diagnosis: Current and Future Techniques.International journal of biological macromolecules · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Jacob KamesDivision of Plasma Protein Therapeutics, Office of Tissue and Advanced Therapies, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
David D HolcombDivision of Plasma Protein Therapeutics, Office of Tissue and Advanced Therapies, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
Ofer KimchiHarvard University School of Engineering and Applied Sciences, Cambridge, MA, USA.
Michael DiCuccioNational Center of Biotechnology Information, National Institutes of Health, Bethesda, MD, USA.
Nobuko Hamasaki-KatagiriDivision of Plasma Protein Therapeutics, Office of Tissue and Advanced Therapies, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
Tony WangDivision of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
Anton A KomarCenter for Gene Regulation in Health and Disease, Cleveland State University, Cleveland, OH, USA.
Aikaterini AlexakiDivision of Plasma Protein Therapeutics, Office of Tissue and Advanced Therapies, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA. Aikaterini.alexaki@fda.hhs.gov.
Chava Kimchi-SarfatyDivision of Plasma Protein Therapeutics, Office of Tissue and Advanced Therapies, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA. Chava.kimchi-sarfaty@fda.hhs.gov.
Center for Biologics Evaluation and Research · USCleveland State University · USHarvard University · USNational Institutes of Health · US

Funding

Safer and more effective FIX therapeutics: impact of codon optimizationR01HL151392 · NHLBI · CLEVELAND STATE UNIVERSITY · PI KOMAR, ANTON A. · 2020 to 2023
$1.5M
Harvard University Harvard Quantitative Biology InitiativeNHLBI NIH HHS R01 HL151392NIH HHS HL151392U.S. Food and Drug Administration CBER Coronavirus (COVID-19) Supplemental Funding
6 · The paper itself

Abstract

As the SARS-CoV-2 pandemic is rapidly progressing, the need for the development of an effective vaccine is critical. A promising approach for vaccine development is to generate, through codon pair deoptimization, an attenuated virus. This approach carries the advantage that it only requires limited knowledge specific to the virus in question, other than its genome sequence. Therefore, it is well suited for emerging viruses, for which we may not have extensive data. We performed comprehensive in silico analyses of several features of SARS-CoV-2 genomic sequence (e.g., codon usage, codon pair usage, dinucleotide/junction dinucleotide usage, RNA structure around the frameshift region) in comparison with other members of the coronaviridae family of viruses, the overall human genome, and the transcriptome of specific human tissues such as lung, which are primarily targeted by the virus. Our analysis identified the spike (S) and nucleocapsid (N) proteins as promising targets for deoptimization and suggests a roadmap for SARS-CoV-2 vaccine development, which can be generalizable to other viruses.

Indexed as

Base SequenceBetacoronavirusCoronavirus InfectionsCoronavirus Nucleocapsid ProteinsCOVID-19COVID-19 VaccinesGenome, ViralHumansNucleocapsid ProteinsPandemicsPhosphoproteinsPneumonia, ViralSARS-CoV-2Spike Glycoprotein, CoronavirusVaccines, InactivatedViral VaccinesCoronavirus Nucleocapsid ProteinsCOVID-19 Vaccinesnucleocapsid phosphoprotein, SARS-CoV-2Nucleocapsid ProteinsPhosphoproteinsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Vaccines, InactivatedViral Vaccines

Identifiers

PMID32973171
PMCPMC7519053
OpenAlexW3088636079

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.