Evidence map›Paper›PMID 23399549›Full record

ArticleMolecular & cellular proteomics : MCP2013

Global comparisons of lectin-glycan interactions using a database of analyzed glycan array data.

Doron Kletter, Sudhir Singh, Marshall Bern, Brian B Haab

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
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  6. A Boltzmann model predicts glycan structures from lectin binding.bioRxiv : the preprint server for biology · 2024
    Article
  7. Article
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  9. LectinOracle: A Generalizable Deep Learning Model for Lectin-Glycan Binding Prediction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
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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

4 authors at 2 institutions in 1 country.

Doron KletterPalo Alto Research Center, Palo Alto, California 94304, USA.
Sudhir Singh
Marshall Bern
Brian B Haab
Palo Alto Research Center · USVan Andel Institute · US

Funding

Detection of Pre-Invasive Pancreatic Cysts Using Protein and Glycan BiomarkersU01CA152653 · NCI · VAN ANDEL RESEARCH INSTITUTE · PI ALLEN, PETER J, BRAND, RANDALL · 2010 to 2021
$5.8M
Targeted Glycomics and Affinity Reagents for Cancer Biomarker DevelopmentU01CA168896 · NCI · VAN ANDEL RESEARCH INSTITUTE · PI HAAB, BRIAN B. · 2012 to 2016
$2.3M
NCI NIH HHS 1U01CA168896NCI NIH HHS U01 CA152653NCI NIH HHS U01 CA168896
6 · The paper itself

Abstract

Lectin-glycan interactions have critical functions in multiple normal and pathological processes, but the binding partners and functions for many glycans and lectins are not known. An important step in better understanding glycan-lectin biology is enabling systematic quantification and analysis of the interactions. Glycan arrays can provide the experimental information for such analyses, and the thousands of glycan array datasets available through the Consortium for Functional Glycomics provide the opportunity to extend the analyses to a broad scale. We developed software, based on our previously described Motif Segregation algorithm, for the automated analysis of glycan array data, and we analyzed the entire storehouse of 2883 datasets from the Consortium for Functional Glycomics. We mined the resulting database to make comparisons of specificities across multiple lectins and comparisons between glycans in their lectin receptors. Of the lectins in the database, viral lectins were the most different from other organism types, with specificities nearly always restricted to sialic acids, and mammalian lectins had the most diverse range of specificities. Certain mammalian lectins were unique in their specificities for sulfated glycans. Simple modifications to a lactosamine core structure radically altered the types of lectins that were highly specific for the glycan. Unmodified lactosamine was specifically recognized by plant, fungal, viral, and mammalian lectins; sialylation shifted the binding mainly to viral lectins; and sulfation resulted in mainly mammalian lectins with the highest specificities. We anticipate that this analysis program and database will be valuable in fundamental glycobiology studies, detailed analyses of lectin specificities, and practical applications in translational research.

Indexed as

SoftwareAmino Acid MotifsAnimalsBinding SitesDatabases, ChemicalHumansLectinsMicroarray AnalysisModels, MolecularPolysaccharidesProtein BindingSpecies SpecificityLectinsPolysaccharides

Identifiers

PMID23399549
PMCPMC3617327
OpenAlexW2142749388

What OpenQuestion holds

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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.