Evidence map›Paper›PMID 21757734›Full record

ArticleThe Journal of biological chemistry2011

A sialylated glycan microarray reveals novel interactions of modified sialic acids with proteins and viruses.

Xuezheng Song, Hai Yu, Xi Chen, Yi Lasanajak, Mary M Tappert, Gillian M Air, Vinod K Tiwari, Hongzhi Cao, Harshal A Chokhawala, Haojie Zheng and 2 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

73 citing papers in PubMed, 141 citations in OpenAlex.

  1. Review
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  9. Article
  10. Systematic synthesis of bisectedChemical science · 2022
    Article
  11. LectinOracle: A Generalizable Deep Learning Model for Lectin-Glycan Binding Prediction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  12. Examining Galectin Binding Specificity Using Glycan Microarrays.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Sialoglycan recognition is a common connection linking acidosis, zinc, and HMGB1 in sepsis.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Recent Advances in the Chemical Biology ofMolecules (Basel, Switzerland) · 2021
    Review
  19. Glycan Array Technology.Advances in biochemical engineering/biotechnology · 2021
    Article
  20. Article

13 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

12 authors at 3 institutions in 1 country.

Xuezheng SongDepartment of Biochemistry and the Glycomics Center, Emory University School of Medicine, Atlanta, Georgia 30322, USA.
Hai Yu
Xi Chen
Yi Lasanajak
Mary M Tappert
Gillian M Air
Vinod K Tiwari
Hongzhi Cao
Harshal A Chokhawala
Haojie Zheng
Richard D Cummings
David F Smith
University of California, Davis · USEmory University · USUniversity of Oklahoma Health Sciences Center · US

Funding

Structural Basis of Immune Recognition of Glycosylated AntigensU54GM062116 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI BLIXT, OLA KLAS · 2001 to 2010
$80.3M
Shotgun Glycomics: Linking Glycan Structure and FunctionR01GM085448 · NIGMS · EMORY UNIVERSITY · PI SMITH, DAVID FLETCHER · 2008 to 2011
$2.3M
Studies of Naturally Occurring Structurally Modified CarbohydratesR01GM076360 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CHEN, XI · 2006 to 2010
$1.9M
NIGMS NIH HHS GM076360NIGMS NIH HHS GM62116NIGMS NIH HHS R01 GM076360NIGMS NIH HHS R01 GM085448NIGMS NIH HHS R01GM085448NIGMS NIH HHS U54 GM062116
6 · The paper itself

Abstract

Many glycan-binding proteins in animals and pathogens recognize sialic acid or its modified forms, but their molecular recognition is poorly understood. Here we describe studies on sialic acid recognition using a novel sialylated glycan microarray containing modified sialic acids presented on different glycan backbones. Glycans terminating in β-linked galactose at the non-reducing end and with an alkylamine-containing fluorophore at the reducing end were sialylated by a one-pot three-enzyme system to generate α2-3- and α2-6-linked sialyl glycans with 16 modified sialic acids. The resulting 77 sialyl glycans were purified and quantified, characterized by mass spectrometry, covalently printed on activated slides, and interrogated with a number of key sialic acid-binding proteins and viruses. Sialic acid recognition by the sialic acid-binding lectins Sambucus nigra agglutinin and Maackia amurensis lectin-I, which are routinely used for detecting α2-6- and α2-3-linked sialic acids, are affected by sialic acid modifications, and both lectins bind glycans terminating with 2-keto-3-deoxy-D-glycero-D-galactonononic acid (Kdn) and Kdn derivatives stronger than the derivatives of more common N-acetylneuraminic acid (Neu5Ac) and N-glycolylneuraminic acid (Neu5Gc). Three human parainfluenza viruses bind to glycans terminating with Neu5Ac or Neu5Gc and some of their derivatives but not to Kdn and its derivatives. Influenza A virus also does not bind glycans terminating in Kdn or Kdn derivatives. An especially novel aspect of human influenza A virus binding is its ability to equivalently recognize glycans terminated with either α2-6-linked Neu5Ac9Lt or α2-6-linked Neu5Ac. Our results demonstrate the utility of this sialylated glycan microarray to investigate the biological importance of modified sialic acids in protein-glycan interactions.

Indexed as

Protein Array AnalysisBinding SitesHumansInfluenza A virusLectinsPolysaccharidesProteinsRespirovirusSialic AcidsVirusesLectinsPolysaccharidesProteinsSialic Acids

Identifiers

PMID21757734
PMCPMC3173124
OpenAlexW2075663630

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.