Evidence map›Paper›PMID 23192235›Full record

ReviewChemical Society reviews2013

Carbohydrate microarrays.

Sungjin Park, Jeffrey C Gildersleeve, Ola Blixt, Injae Shin

Abstract readReview
In one paragraph

Review in Chemical Society reviews, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing 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

82 citing papers in PubMed.

  1. Trial
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  14. Review
  15. General Strategies for Glycan Microarray Data Processing and Analysis.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  16. Article
  17. CH-π Interactions in Glycan Recognition.ACS chemical biology · 2021
    Review
  18. Article
  19. Article
  20. Article

22 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

4 authors.

Sungjin ParkNational Creative Research Initiative Center for Biofunctional Molecules, Department of Chemistry, Yonsei University, Seoul 120-749, Korea.
Jeffrey C Gildersleeve
Ola Blixt
Injae Shin

Funding

Development of a Carbohydrate MicroarrayZIABC010675 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GILDERSLEEVE, JEFFREY · 2009 to 2025
$6.1M
Development of a Carbohydrate MicroarrayZ01BC010675 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GILDERSLEEVE, JEFF · 2005 to 2008
$438k
Intramural NIH HHS Z01 BC010675
6 · The paper itself

Abstract

In the last decade, carbohydrate microarrays have been core technologies for analyzing carbohydrate-mediated recognition events in a high-throughput fashion. A number of methods have been exploited for immobilizing glycans on the solid surface in a microarray format. This microarray-based technology has been widely employed for rapid analysis of the glycan binding properties of lectins and antibodies, the quantitative measurements of glycan-protein interactions, detection of cells and pathogens, identification of disease-related anti-glycan antibodies for diagnosis, and fast assessment of substrate specificities of glycosyltransferases. This review covers the construction of carbohydrate microarrays, detection methods of carbohydrate microarrays and their applications in biological and biomedical research.

Indexed as

Microarray AnalysisAntibodies, MonoclonalBacterial ProteinsBiomarkersCarbohydratesHumansLectinsPolysaccharidesViral ProteinsAntibodies, MonoclonalBacterial ProteinsBiomarkersCarbohydratesLectinsPolysaccharidesViral Proteins

Identifiers

PMID23192235
PMCPMC7566812

What OpenQuestion holds

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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.