Evidence map›Paper›PMID 30018351›Full record

ArticleScientific reports2018

A combined computational-experimental approach to define the structural origin of antibody recognition of sialyl-Tn, a tumor-associated carbohydrate antigen.

Ron Amon, Oliver C Grant, Shani Leviatan Ben-Arye, Spandana Makeneni, Anita K Nivedha, Tal Marshanski, Christoffer Norn, Hai Yu, John N Glushka, Sarel J Fleishman and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

17 citing papers in PubMed, 22 citations in OpenAlex.

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  7. Current Landscape of Therapeutic Cancer Vaccines.Methods in molecular biology (Clifton, N.J.) · 2025
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  16. Synthesis ofFrontiers in immunology · 2019
    Review
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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

13 authors at 4 institutions in 2 countries.

Ron AmonDepartment of Cell Research and Immunology, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 69978, Israel.
Oliver C GrantComplex Carbohydrate Research Center, University of Georgia, Athens, 30606, GA, USA.
Shani Leviatan Ben-AryeDepartment of Cell Research and Immunology, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 69978, Israel.
Spandana MakeneniComplex Carbohydrate Research Center, University of Georgia, Athens, 30606, GA, USA.
Anita K NivedhaComplex Carbohydrate Research Center, University of Georgia, Athens, 30606, GA, USA.
Tal MarshanskiDepartment of Cell Research and Immunology, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 69978, Israel.
Christoffer NornDepartment of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, 76100, Israel.
Hai YuDepartment of Chemistry, University of California-Davis, Davis, CA, USA.
John N GlushkaComplex Carbohydrate Research Center, University of Georgia, Athens, 30606, GA, USA.
Sarel J FleishmanDepartment of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, 76100, Israel.
Xi ChenDepartment of Chemistry, University of California-Davis, Davis, CA, USA.
Robert J WoodsComplex Carbohydrate Research Center, University of Georgia, Athens, 30606, GA, USA. rwoods@ccrc.uga.edu.
Vered Padler-KaravaniDepartment of Cell Research and Immunology, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 69978, Israel. vkaravani@post.tau.ac.il.
University of Georgia · USTel Aviv University · ILUniversity of California, Davis · USWeizmann Institute of Science · IL

Funding

TR&D3. Approaches to Proteoglycan Function at Biochemical and Cellular LevelsP41GM103390 · NIGMS · UNIVERSITY OF GEORGIA · PI MOREMEN, KELLEY W. · 2012 to 2019
$14.5M
Tools to enable non-specialists to model glycoconjugates and glycan-protein interactionsU01CA207824 · NCI · UNIVERSITY OF GEORGIA · PI FOLEY, B. LACHELE, WOODS, ROBERT J · 2016 to 2018
$1.7M
EC | Horizon 2020 (European Union Framework Programme for Research and Innovation) ERC-2016-STG-716220NCI NIH HHS U01 CA207824NIGMS NIH HHS P41 GM103390
6 · The paper itself

Abstract

Anti-carbohydrate monoclonal antibodies (mAbs) hold great promise as cancer therapeutics and diagnostics. However, their specificity can be mixed, and detailed characterization is problematic, because antibody-glycan complexes are challenging to crystallize. Here, we developed a generalizable approach employing high-throughput techniques for characterizing the structure and specificity of such mAbs, and applied it to the mAb TKH2 developed against the tumor-associated carbohydrate antigen sialyl-Tn (STn). The mAb specificity was defined by apparent K

Indexed as

Models, MolecularAnimalsAntibodies, MonoclonalAntibody SpecificityAntigens, Tumor-Associated, CarbohydrateCells, CulturedComputer SimulationHEK293 CellsHumansMiceMolecular Dynamics SimulationAntibodies, MonoclonalAntigens, Tumor-Associated, Carbohydratesialosyl-Tn antigen

Identifiers

PMID30018351
PMCPMC6050261
OpenAlexW2832495826

What OpenQuestion holds

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Registered trials

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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.