Evidence map›Paper›PMID 28786666›Full record

ArticleJournal of the American Chemical Society2017

Dissecting Multivalent Lectin-Carbohydrate Recognition Using Polyvalent Multifunctional Glycan-Quantum Dots.

Yuan Guo, Inga Nehlmeier, Emma Poole, Chadamas Sakonsinsiri, Nicole Hondow, Andy Brown, Qing Li, Shuang Li, Jessie Whitworth, Zhongjun Li and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 79 citations in OpenAlex.

  1. Synthetic Ligands of Myeloid C-Type Lectin Receptors.Chembiochem : a European journal of chemical biology · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Secondary Sites of the C-type Lectin-Like Fold.Chemistry (Weinheim an der Bergstrasse, Germany) · 2024
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Recent advances in nanoparticle-based targeting tactics for antibacterial photodynamic therapy.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2022
    Review
  17. Review
  18. Review
  19. Quantification of binding affinity of glyconanomaterials with lectins.Chemical communications (Cambridge, England) · 2020
    Review
  20. Glycan structures and their interactions with proteins. A NMR view.Current opinion in structural biology · 2020
    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

15 authors at 3 institutions in 2 countries.

Yuan Guo
Inga NehlmeierInfection Biology Unit, German Primate Center , Kellnerweg 4, Gottingen 37077, Germany.
Emma Poole
Chadamas Sakonsinsiri
Nicole Hondow
Andy Brown
Qing LiDepartment of Chemical Biology, Peking University Health Sciences Centre , Beijing 100191, People's Republic of China.
Shuang LiDepartment of Chemistry, Renmin University of China , Beijing 100872, People's Republic of China.
Jessie Whitworth
Zhongjun LiDepartment of Chemical Biology, Peking University Health Sciences Centre , Beijing 100191, People's Republic of China.
Anchi YuDepartment of Chemistry, Renmin University of China , Beijing 100872, People's Republic of China.
Rik Brydson
W Bruce Turnbull
Stefan PöhlmannInfection Biology Unit, German Primate Center , Kellnerweg 4, Gottingen 37077, Germany.
German Primate Center · DEPeking University · CNRenmin University of China · CN

Funding

Biotechnology and Biological Sciences Research Council BB/M005666/1Wellcome TrustWellcome Trust 097354/Z/11/Z
6 · The paper itself

Abstract

Multivalent protein-carbohydrate interactions initiate the first contacts between virus/bacteria and target cells, which ultimately lead to infection. Understanding the structures and binding modes involved is vital to the design of specific, potent multivalent inhibitors. However, the lack of structural information on such flexible, complex, and multimeric cell surface membrane proteins has often hampered such endeavors. Herein, we report that quantum dots (QDs) displayed with a dense array of mono-/disaccharides are powerful probes for multivalent protein-glycan interactions. Using a pair of closely related tetrameric lectins, DC-SIGN and DC-SIGNR, which bind to the HIV and Ebola virus glycoproteins (EBOV-GP) to augment viral entry and infect target cells, we show that such QDs efficiently dissect the different DC-SIGN/R-glycan binding modes (tetra-/di-/monovalent) through a combination of multimodal readouts: Förster resonance energy transfer (FRET), hydrodynamic size measurement, and transmission electron microscopy imaging. We also report a new QD-FRET method for quantifying QD-DC-SIGN/R binding affinity, revealing that DC-SIGN binds to the QD >100-fold tighter than does DC-SIGNR. This result is consistent with DC-SIGN's higher trans-infection efficiency of some HIV strains over DC-SIGNR. Finally, we show that the QDs potently inhibit DC-SIGN-mediated enhancement of EBOV-GP-driven transduction of target cells with IC

Indexed as

Cell Adhesion MoleculesCell LineDC-Specific ICAM-3 Grabbing NonintegrinDisaccharidesEbolavirusFluorescence Resonance Energy TransferGlycoproteinsHemorrhagic Fever, EbolaHumansLectins, C-TypeModels, MolecularMonosaccharidesPolysaccharidesQuantum DotsReceptors, Cell SurfaceViral ProteinsCell Adhesion MoleculesCLEC4M protein, humanDC-Specific ICAM-3 Grabbing NonintegrinDisaccharidesGlycoproteinsLectins, C-TypeMonosaccharidesPolysaccharidesReceptors, Cell SurfaceViral Proteins

Identifiers

PMID28786666
PMCPMC5579584
OpenAlexW2744119960

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.