Evidence map›Paper›PMID 37986780›Full record

ArticlebioRxiv : the preprint server for biology2023

Asymmetrical Bi-antennary Glycans Prepared by a Stop-and-Go Strategy Reveal Receptor Binding Evolution of Human Influenza A Viruses.

Shengzhou Ma, Lin Liu, Dirk Eggink, Sander Herfst, Ron A M Fouchier, Robert P de Vries, Geert-Jan Boons

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Shengzhou MaComplex Carbohydrate Research Center, University of Georgia, Athens, GA, USA.
Lin LiuComplex Carbohydrate Research Center, University of Georgia, Athens, GA, USA.
Dirk EgginkAmsterdam UMC location University of Amsterdam, Department of Medical Microbiology and Infection prevention, Laboratory of Applied Evolutionary Biology, Amsterdam, The Netherlands.
Sander HerfstDepartment of Viroscience, Erasmus University Medical Center, Rotterdam, The Netherlands.
Ron A M FouchierDepartment of Viroscience, Erasmus University Medical Center, Rotterdam, The Netherlands.
Robert P de VriesDepartment of Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, The Netherlands.
Geert-Jan BoonsComplex Carbohydrate Research Center, University of Georgia, Athens, GA, USA.
University of Georgia · USErasmus MC · NLNational Institute for Public Health and the Environment · NLUtrecht University · NL

Funding

Integrating measurements of immune escape and in vitro replication with computational models to understand and predict the antigenic evolution of seasonal A/H3N2 influenza virusesR01AI165818 · NIAID · UNIVERSITY OF CAMBRIDGE · PI Derek James Smith · 2022 to 2026
$2.6M
Automated chemo-enzymatic synthesis of N-glycans for host-pathogen interactionsR01AI165692 · NIAID · UNIVERSITY OF GEORGIA · PI BOONS, GEERT-JAN · 2022 to 2025
$2.2M
NIAID NIH HHS R01 AI165692NIAID NIH HHS R01 AI165818
6 · The paper itself

Abstract

Glycan binding properties of respiratory viruses have been difficult to probe due to a lack of biological relevant glycans for binding studies. Here, a stop-and-go chemoenzymatic methodology is presented that gave access to a panel of 32 asymmetrical bi-antennary

Indexed as

antigenic driftchemoenzymaticglycosyl transferaseshemagglutinationN-glycans

Identifiers

PMID37986780
PMCPMC10659364
OpenAlexW4388570795

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.