Evidence map›Paper›PMID 36929749›Full record

ArticleeLife2023

Timeline of changes in spike conformational dynamics in emergent SARS-CoV-2 variants reveal progressive stabilization of trimer stalk with altered NTD dynamics.

Sean M Braet, Theresa S C Buckley, Varun Venkatakrishnan, Kim-Marie A Dam, Pamela J Bjorkman, Ganesh S Anand

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In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

6 authors.

Sean M Braet *Department of Chemistry, Pennsylvania State University, University Park, United States.ORCID 0000-0003-3782-2262
Theresa S C Buckley *Department of Chemistry, Pennsylvania State University, University Park, United States.ORCID 0009-0005-2897-9630
Varun Venkatakrishnan *Department of Chemistry, Pennsylvania State University, University Park, United States.
Kim-Marie A DamDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States.
Pamela J BjorkmanDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States.ORCID 0000-0002-2277-3990
Ganesh S AnandDepartment of Chemistry, Pennsylvania State University, University Park, United States.ORCID 0000-0001-8995-3067

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 emergent variants are characterized by increased viral fitness and each shows multiple mutations predominantly localized to the spike (S) protein. Here, amide hydrogen/deuterium exchange mass spectrometry has been applied to track changes in S dynamics from multiple SARS-CoV-2 variants. Our results highlight large differences across variants at two loci with impacts on S dynamics and stability. A significant enhancement in stabilization first occurred with the emergence of D614G S followed by smaller, progressive stabilization in subsequent variants. Stabilization preceded altered dynamics in the N-terminal domain, wherein Omicron BA.1 S showed the largest magnitude increases relative to other preceding variants. Changes in stabilization and dynamics resulting from S mutations detail the evolutionary trajectory of S in emerging variants. These carry major implications for SARS-CoV-2 viral fitness and offer new insights into variant-specific therapeutic development.

Indexed as

COVID-19AmidesBiological EvolutionHumansSARS-CoV-2Amidesallosterybiochemistrychemical biologyconformational dynamicsE. coliHDXMShumanmass spectrometrymolecular biophysicsprotein-protein interactionsSARS-CoV-2structural biologyviruses

Identifiers

PMID36929749
PMCPMC10049203

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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.