Evidence map›Paper›PMID 37599818›Full record

ArticleiScience2023

Selection for immune evasion in SARS-CoV-2 revealed by high-resolution epitope mapping and sequence analysis.

Arnaud N'Guessan, Senthilkumar Kailasam, Fatima Mostefai, Raphaël Poujol, Jean-Christophe Grenier, Nailya Ismailova, Paola Contini, Raffaele De Palma, Carsten Haber, Volker Stadler and 5 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 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
1.6field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

15 authors at 7 institutions in 2 countries.

Arnaud N'GuessanDepartment of Microbiology and Immunology, McGill University, Montréal, QC, Canada.
Senthilkumar KailasamCanadian Center for Computational Genomics, Montréal, QC, Canada.
Fatima MostefaiResearch Centre, Montreal Heart Institute, Montreal, QC, Canada.
Raphaël PoujolResearch Centre, Montreal Heart Institute, Montreal, QC, Canada.
Jean-Christophe GrenierResearch Centre, Montreal Heart Institute, Montreal, QC, Canada.
Nailya IsmailovaDepartment of Microbiology and Immunology, McGill University, Montréal, QC, Canada.
Paola ContiniDepartment of Internal Medicine, University of Genoa and IRCCS IST-Ospedale San Martino, Genoa, Italy.
Raffaele De PalmaDepartment of Internal Medicine, University of Genoa and IRCCS IST-Ospedale San Martino, Genoa, Italy.
Carsten HaberPEPperPRINT GmbH, Heidelberg, Germany.
Volker StadlerPEPperPRINT GmbH, Heidelberg, Germany.
Guillaume BourqueCanadian Center for Computational Genomics, Montréal, QC, Canada.
Julie G HussinResearch Centre, Montreal Heart Institute, Montreal, QC, Canada.
B Jesse ShapiroDepartment of Microbiology and Immunology, McGill University, Montréal, QC, Canada.
Jörg H FritzDepartment of Microbiology and Immunology, McGill University, Montréal, QC, Canada.
Ciriaco A PiccirilloDepartment of Microbiology and Immunology, McGill University, Montréal, QC, Canada.
McGill University · CAMontreal Heart Institute · CAMcGill Genome Centre · CAMcGill University Health Centre · CAOspedale Policlinico San Martino · ITUniversité de Montréal · CAUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we exploit a deep serological profiling strategy coupled with an integrated, computational framework for the analysis of SARS-CoV-2 humoral immune responses. Applying a high-density peptide array (HDPA) spanning the entire proteomes of SARS-CoV-2 and endemic human coronaviruses allowed identification of B cell epitopes and relate them to their evolutionary and structural properties. We identify hotspots of pre-existing immunity and identify cross-reactive epitopes that contribute to increasing the overall humoral immune response to SARS-CoV-2. Using a public dataset of over 38,000 viral genomes from the early phase of the pandemic, capturing both inter- and within-host genetic viral diversity, we determined the evolutionary profile of epitopes and the differences across proteins, waves, and SARS-CoV-2 variants. Lastly, we show that mutations in spike and nucleocapsid epitopes are under stronger selection between than within patients, suggesting that most of the selective pressure for immune evasion occurs upon transmission between hosts.

Indexed as

Computational bioinformaticsImmunologyStructural biologyVirology

Identifiers

PMID37599818
PMCPMC10433132
OpenAlexW4384156373

What Socratic 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 Socratic graph.