Evidence map›Paper›PMID 31187982›Full record

ArticleAnalytical chemistry2019

Next-Generation Glycan Microarray Enabled by DNA-Coded Glycan Library and Next-Generation Sequencing Technology.

Maomao Yan, Yuyang Zhu, Xueyun Liu, Yi Lasanajak, Jinglin Xiong, Jingqiao Lu, Xi Lin, David Ashline, Vernon Reinhold, David F Smith and 1 more

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2019. 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
2.1field-weighted citation impact, top 12% 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, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Serum antibody screening using glycan arrays.Chemical Society reviews · 2024
    Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
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

11 authors at 2 institutions in 1 country.

Xueyun Liu
Yi Lasanajak
Jinglin Xiong
Jingqiao Lu
Xi Lin
David AshlineCollege of Life Sciences and Agriculture , University of New Hampshire , Durham , New Hampshire 03824 , United States.
Vernon ReinholdCollege of Life Sciences and Agriculture , University of New Hampshire , Durham , New Hampshire 03824 , United States.
David F Smith
Emory University · USUniversity of New Hampshire · US

Funding

Facile Chemical Methods for Reverse Synthesis and Large Scale Production of Biomedically Relevant Glycan LibrariesU01GM116254 · NIGMS · EMORY UNIVERSITY · PI REINHOLD, VERNON NYE, SONG, XUEZHENG · 2015 to 2017
$1.6M
Next generation glycan microarray (NGGM) enabled by next generation sequencing (NGS) and DNA-coded glycan libraryR21GM122632 · NIGMS · EMORY UNIVERSITY · PI SONG, XUEZHENG · 2016 to 2017
$605k
Large Scale Preparation of Natural GlycansR41GM122139 · NIGMS · NATGLYCAN, LLC · PI SONG, XUEZHENG · 2017 to 2017
$286k
NIGMS NIH HHS R21 GM122632NIGMS NIH HHS R41 GM122139NIGMS NIH HHS U01 GM116254
6 · The paper itself

Abstract

Interactions of glycans with proteins, cells, and microorganisms play important roles in cell-cell adhesion and host-pathogen interaction. Glycan microarray technology, in which multiple glycan structures are immobilized on a single glass slide and interrogated with glycan-binding proteins (GBPs), has become an indispensable tool in the study of protein-glycan interactions. Despite its great success, the current format of the glycan microarray requires expensive, specialized instrumentation and labor-intensive assay and image processing procedures, which limit automation and possibilities for high-throughput analyses. Furthermore, the current microarray is not suitable for assaying interaction with intact cells due to their large size compared to the two-dimensional microarray surface. To address these limitations, we developed the next-generation glycan microarray (NGGM) based on artificial DNA coding of glycan structures. In this novel approach, a glycan library is presented as a mixture of glycans and glycoconjugates, each of which is coded with a unique oligonucleotide sequence (code). The glycan mixture is interrogated by GBPs followed by the separation of unbound coded glycans. The DNA sequences that identify individual bound glycans are quantitatively sequenced (decoded) by powerful next-generation sequencing (NGS) technology, and copied numbers of the DNA codes represent relative binding specificities of corresponding glycan structures to GBPs. We demonstrate that NGGM generates glycan-GBP binding data that are consistent with that generated in a slide-based glycan microarray. More importantly, the solution phase binding assay is directly applicable to identifying glycan binding to intact cells, which is often challenging using glass slide-based glycan microarrays.

Indexed as

Acinetobacter baumanniiAnimalsBacterial ProteinsCarrier ProteinsClick ChemistryDNAEscherichia coli K12GlycoconjugatesHigh-Throughput Nucleotide SequencingMicroarray AnalysisPolysaccharidesProtein BindingStaphylococcus aureusSwineBacterial ProteinsCarrier ProteinsDNAGlycoconjugatesPolysaccharides

Identifiers

PMID31187982
PMCPMC13016201
OpenAlexW2951336522

What OpenQuestion holds

Textmetadata
LicenceTDM
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.