Evidence map›Paper›PMID 36409896›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Synthetic nanobodies as tools to distinguish IgG Fc glycoforms.

Kevin S Kao, Aaron Gupta, Guanghui Zong, Chao Li, Isabell Kerschbaumer, Sara Borghi, Jacqueline M Achkar, Stylianos Bournazos, Lai-Xi Wang, Jeffrey V Ravetch

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  8. A Boltzmann model predicts glycan structures from lectin binding.bioRxiv : the preprint server for biology · 2024
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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

10 authors at 3 institutions in 1 country.

Kevin S KaoLaboratory of Molecular Genetics & Immunology, The Rockefeller University, New York, NY 10065.
Aaron GuptaLaboratory of Molecular Genetics & Immunology, The Rockefeller University, New York, NY 10065.
Guanghui ZongDepartment of Chemistry and Biochemistry, University of Maryland, College Park, MD 20742.ORCID 0000-0002-7335-039X
Chao LiDepartment of Chemistry and Biochemistry, University of Maryland, College Park, MD 20742.
Isabell KerschbaumerDepartment of Medicine (Division of Infectious Diseases), Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY 10461.
Sara BorghiLaboratory of Molecular Genetics & Immunology, The Rockefeller University, New York, NY 10065.ORCID 0000-0001-5473-3240
Jacqueline M AchkarDepartment of Medicine (Division of Infectious Diseases), Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY 10461.
Stylianos BournazosLaboratory of Molecular Genetics & Immunology, The Rockefeller University, New York, NY 10065.
Lai-Xi WangDepartment of Chemistry and Biochemistry, University of Maryland, College Park, MD 20742.ORCID 0000-0003-4293-5819
Jeffrey V RavetchLaboratory of Molecular Genetics & Immunology, The Rockefeller University, New York, NY 10065.ORCID 0000-0003-2024-9041
Rockefeller University · USUniversity of Maryland, College Park · USAlbert Einstein College of Medicine · US

Funding

Weill Cornell/Rockefeller/Sloan-Kettering MST ProgramT32GM007739 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI HSU, KATHARINE C · 1985 to 2023
$51.1M
Understanding B cell memory in response to diverse virus infectionsU19AI111825 · NIAID · ROCKEFELLER UNIVERSITY · PI BOURNAZOS, STYLIANOS · 2014 to 2023
$26.0M
Mechanisms of antibody-dependent enhancement of SARS-CoV-2 infectionR01AI137276 · NIAID · ROCKEFELLER UNIVERSITY · PI Stylianos Bournazos · 2018 to 2026
$4.5M
Characteristics and protective efficacy of human antibodies against M. tuberculosisR01AI146329 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI ACHKAR, JACQUELINE MICHELE · 2019 to 2023
$3.9M
Host biomarkers for M. tuberculosis infection activity in HIV-infected personsR01AI117927 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI ACHKAR, JACQUELINE MICHELE · 2016 to 2020
$3.6M
Glycoengineering of antibodies to modulate immune functionsR01AI155716 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI LAI-XI WANG · 2020 to 2026
$3.6M
NIAID NIH HHS R01 AI117927NIAID NIH HHS R01 AI137276NIAID NIH HHS R01 AI146329NIAID NIH HHS R01 AI155716NIAID NIH HHS U19 AI111825NIGMS NIH HHS T32 GM007739
6 · The paper itself

Abstract

Protein glycosylation is a crucial mediator of biological functions and is tightly regulated in health and disease. However, interrogating complex protein glycoforms is challenging, as current lectin tools are limited by cross-reactivity while mass spectrometry typically requires biochemical purification and isolation of the target protein. Here, we describe a method to identify and characterize a class of nanobodies that can distinguish glycoforms without reactivity to off-target glycoproteins or glycans. We apply this technology to immunoglobulin G (IgG) Fc glycoforms and define nanobodies that specifically recognize either IgG lacking its core-fucose or IgG bearing terminal sialic acid residues. By adapting these tools to standard biochemical methods, we can clinically stratify dengue virus and SARS-CoV-2 infected individuals based on their IgG glycan profile, selectively disrupt IgG-Fcγ receptor binding both in vitro and in vivo, and interrogate the B cell receptor (BCR) glycan structure on living cells. Ultimately, we provide a strategy for the development of reagents to identify and manipulate IgG Fc glycoforms.

Indexed as

COVID-19Single-Domain AntibodiesHumansImmunoglobulin Fc FragmentsImmunoglobulin GPolysaccharidesSARS-CoV-2Immunoglobulin Fc FragmentsImmunoglobulin GPolysaccharidesSingle-Domain Antibodiesglycobiologyimmunoglobulinnanobody

Identifiers

PMID36409896
PMCPMC9860306
OpenAlexW4309499239

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.