Evidence map›Paper›PMID 31848260›Full record

ReviewMolecular & cellular proteomics : MCP2020

Advances in Tools to Determine the Glycan-Binding Specificities of Lectins and Antibodies.

Brian B Haab, Zachary Klamer

Abstract readReview
In one paragraph

Review in Molecular & cellular proteomics : MCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Novel Lectins fromACS omega · 2025
    Article
  2. Defined Glycan Ligands for Detecting Rare l-Sugar-Binding Proteins.Journal of the American Chemical Society · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Advances in Optical Sensors ofBioconjugate chemistry · 2022
    Review
  11. Article
  12. Article
  13. Dealing with the Ambiguity of Glycan Substructure Search.Molecules (Basel, Switzerland) · 2021
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article
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

2 authors.

Brian B HaabVan Andel Institute, Grand Rapids, Michigan. Electronic address: Brian.Haab@vai.org.
Zachary KlamerVan Andel Institute, Grand Rapids, Michigan.

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
Subpopulations of Pancreatic Cancer Cells Defined by Glycan MarkersU01CA226158 · NCI · VAN ANDEL RESEARCH INSTITUTE · PI BRAND, RANDALL, HAAB, BRIAN B. · 2019 to 2023
$3.2M
Targeted Glycomics and Affinity Reagents for Cancer Biomarker DevelopmentU01CA168896 · NCI · VAN ANDEL RESEARCH INSTITUTE · PI HAAB, BRIAN B. · 2012 to 2016
$2.3M
Bioinformatic Tools for Interpretation of Glycan Array DataR44GM131430 · NIGMS · Z BIOTECH, LLC · PI HAAB, BRIAN B., ZHANG, JIAN · 2021 to 2023
$1.6M
Glyco-typer: an antibody capture glycan imaging methodologyR21CA225474 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI HAAB, BRIAN B., MEHTA, ANAND S. · 2018 to 2019
$731k
Comprehensive Glycoproteomic Tool Development for Cancer BiomarkersR41GM112750 · NIGMS · PROTEIN METRICS, LLC · PI BECKER, CHRISTOPHER H, HAAB, BRIAN B. · 2014 to 2015
$686k
Bioinformatic Tools for Interpretation of Glycan Array DataR43GM131430 · NIGMS · Z BIOTECH, LLC · PI HAAB, BRIAN B., ZHANG, JIAN · 2019 to 2019
$572k
NCI NIH HHS R21 CA225474NCI NIH HHS U01 CA152653NCI NIH HHS U01 CA168896NCI NIH HHS U01 CA226158NIGMS NIH HHS R41 GM112750NIGMS NIH HHS R43 GM131430NIGMS NIH HHS R44 GM131430
6 · The paper itself

Abstract

Proteins that bind carbohydrate structures can serve as tools to quantify or localize specific glycans in biological specimens. Such proteins, including lectins and glycan-binding antibodies, are particularly valuable if accurate information is available about the glycans that a protein binds. Glycan arrays have been transformational for uncovering rich information about the nuances and complexities of glycan-binding specificity. A challenge, however, has been the analysis of the data. Because protein-glycan interactions are so complex, simplistic modes of analyzing the data and describing glycan-binding specificities have proven inadequate in many cases. This review surveys the methods for handling high-content data on protein-glycan interactions. We contrast the approaches that have been demonstrated and provide an overview of the resources that are available. We also give an outlook on the promising experimental technologies for generating new insights into protein-glycan interactions, as well as a perspective on the limitations that currently face the field.

Indexed as

AntibodiesLectinsPolysaccharidesProtein BindingSoftwareAntibodiesLectinsPolysaccharidesbioinformaticsglycan arraysglycomicsGlycoproteinsglycosylationlectinsmicro arrays

Identifiers

PMID31848260
PMCPMC7000120

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.