Evidence map›Paper›PMID 36263061›Full record

ArticlebioRxiv : the preprint server for biology2022

A pseudovirus system enables deep mutational scanning of the full SARS-CoV-2 spike.

Bernadeta Dadonaite, Katharine H D Crawford, Caelan E Radford, Ariana G Farrell, Timothy C Yu, William W Hannon, Panpan Zhou, Raiees Andrabi, Dennis R Burton, Lihong Liu and 3 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 20 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 2 countries.

Bernadeta DadonaiteBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, 98109, USA.
Katharine H D CrawfordBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, 98109, USA.
Caelan E RadfordBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, 98109, USA.
Ariana G FarrellBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, 98109, USA.
Timothy C YuBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, 98109, USA.
William W HannonBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, 98109, USA.
Panpan ZhouDepartment of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Raiees AndrabiDepartment of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Dennis R BurtonDepartment of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Lihong LiuAaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
David D HoAaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
Richard A NeherBiozentrum, University of Basel, Basel, Switzerland, Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Jesse D BloomBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, 98109, USA.
University of Washington · USScripps Research Institute · USAaron Diamond AIDS Research Center · USFred Hutch Cancer Center · USHoward Hughes Medical Institute · USSIB Swiss Institute of Bioinformatics · CH

Funding

Identification of neutralizing epitopes on SARS-CoV-2 spike for design of vaccines and small-molecule antiviralsUM1AI144462 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI BURTON, DENNIS R. · 2019 to 2025
$201.6M
NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00015 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI HENSLEY, SCOTT · 2021 to 2025
$50.7M
TRAINING IN MOLECULAR AND CELLULAR BIOLOGYT32GM007270 · NIGMS · UNIVERSITY OF WASHINGTON · PI RAIBLE, DAVID W · 1985 to 2020
$21.0M
Viral Pathogenesis Training ProgramT32AI083203 · NIAID · UNIVERSITY OF WASHINGTON · PI BLOOM, JESSE D, LAGUNOFF, MICHAEL · 2009 to 2023
$2.7M
Prospectively characterizing the functional and antigenic effects of mutations to viral entry proteinsR01AI141707 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2018 to 2022
$2.1M
Complete mapping of the functional and antigenic effects of mutations to Lassa virus glycoproteinF30AI149928 · NIAID · UNIVERSITY OF WASHINGTON · PI CRAWFORD, KATHARINE HOLT DUSENBURY · 2020 to 2021
$91k
NIAID NIH HHS 75N93021C00015NIAID NIH HHS F30 AI149928NIAID NIH HHS R01 AI141707NIAID NIH HHS T32 AI083203NIAID NIH HHS UM1 AI144462NIGMS NIH HHS T32 GM007270
6 · The paper itself

Abstract

A major challenge in understanding SARS-CoV-2 evolution is interpreting the antigenic and functional effects of emerging mutations in the viral spike protein. Here we describe a new deep mutational scanning platform based on non-replicative pseudotyped lentiviruses that directly quantifies how large numbers of spike mutations impact antibody neutralization and pseudovirus infection. We demonstrate this new platform by making libraries of the Omicron BA.1 and Delta spikes. These libraries each contain ~7000 distinct amino-acid mutations in the context of up to ~135,000 unique mutation combinations. We use these libraries to map escape mutations from neutralizing antibodies targeting the receptor binding domain, N-terminal domain, and S2 subunit of spike. Overall, this work establishes a high-throughput and safe approach to measure how ~10

Identifiers

PMID36263061
PMCPMC9580381
OpenAlexW4306153754

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.