Evidence map›Paper›PMID 24658466›Full record

ArticleGlycobiology2014

Cross-platform comparison of glycan microarray formats.

Linlin Wang, Richard D Cummings, David F Smith, Margaret Huflejt, Christopher T Campbell, Jeffrey C Gildersleeve, Jared Q Gerlach, Michelle Kilcoyne, Lokesh Joshi, Sonia Serna and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Glycobiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

78 citing papers in PubMed, 127 citations in OpenAlex.

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  8. Serum antibody screening using glycan arrays.Chemical Society reviews · 2024
    Review
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18 more citing papers are in PubMed but not listed here.

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

15 authors at 7 institutions in 4 countries.

Linlin WangBiomedical Chemistry Institute, New York University Department of Chemistry, 100 Washington Square East, Room 1001, New York, NY 10003, USA.
Richard D Cummings
David F Smith
Margaret Huflejt
Christopher T Campbell
Jeffrey C Gildersleeve
Jared Q Gerlach
Michelle Kilcoyne
Lokesh Joshi
Sonia Serna
Niels-Christian Reichardt
Núria Parera Pera
Roland J Pieters
William Eng
Lara K Mahal
New York University · USOllscoil na Gaillimhe – University of Galway · IECIC biomaGUNE · ESEmory University · USUtrecht University · NLFrederick National Laboratory for Cancer Research · USNational Cancer Institute · US

Funding

Structural Basis of Immune Recognition of Glycosylated AntigensU54GM062116 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI SASISEKHARAN, RAM · 2001 to 2010
$80.3M
Carbohydrate Microarray Profiling of Glycan-Binding Antibodies and LectinsZIABC010740 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GILDERSLEEVE, JEFFREY · 2009 to 2025
$10.7M
Overall Priority Score P41GM103694 · NIGMS · EMORY UNIVERSITY · PI CUMMINGS, RICHARD D · 2013 to 2018
$6.9M
Development of a Carbohydrate MicroarrayZIABC010675 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GILDERSLEEVE, JEFFREY · 2009 to 2025
$6.1M
Protein-Glycan Interaction Resource of the CFGR24GM098791 · NIGMS · EMORY UNIVERSITY · PI CUMMINGS, RICHARD D, PAULSON, JAMES C · 2011 to 2013
$2.6M
NIGMS NIH HHS 5 U54 GM062116-09NIGMS NIH HHS GM098791NIGMS NIH HHS GM62116NIGMS NIH HHS P41 GM103694NIGMS NIH HHS P41-GM103694NIGMS NIH HHS U54 GM062116
6 · The paper itself

Abstract

Carbohydrates participate in almost every aspect of biology from protein sorting to modulating cell differentiation and cell-cell interactions. To date, the majority of data gathered on glycan expression has been obtained via analysis with either anti-glycan antibodies or lectins. A detailed understanding of the specificities of these reagents is critical to the analysis of carbohydrates in biological systems. Glycan microarrays are increasingly used to determine the binding specificity of glycan-binding proteins (GBPs). In this study, six different glycan microarray platforms with different modes of glycan presentation were compared using five well-known lectins; concanavalin A, Helix pomatia agglutinin, Maackia amurensis lectin I, Sambucus nigra agglutinin and wheat germ agglutinin. A new method (universal threshold) was developed to facilitate systematic comparisons across distinct array platforms. The strongest binders of each lectin were identified using the universal threshold across all platforms while identification of weaker binders was influenced by platform-specific factors including presentation of determinants, array composition and self-reported thresholding methods. This work compiles a rich dataset for comparative analysis of glycan array platforms and has important implications for the implementation of microarrays in the characterization of GBPs.

Indexed as

Microarray AnalysisBinding SitesCarbohydratesCarrier ProteinsConcanavalin ALectinsPhytohemagglutininsPolysaccharidesWheat Germ AgglutininsCarbohydratesCarrier ProteinsConcanavalin AHelix lectinLectinsleukoagglutinins, plantsPhytohemagglutininsPolysaccharidesWheat Germ Agglutininscomparisonglycan microarraylectinpresentation

Identifiers

PMID24658466
PMCPMC4001710
OpenAlexW2159787441

What OpenQuestion holds

Textmetadata
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.