Evidence map›Paper›PMID 19845399›Full record

ArticleBiochemistry2009

Nuclear magnetic resonance structural characterization of substrates bound to the alpha-2,6-sialyltransferase, ST6Gal-I.

Shan Liu, Lu Meng, Kelley W Moremen, James H Prestegard

Abstract read
In one paragraph

Article in Biochemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Sparse labeling of proteins: structural characterization from long range constraints.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2014
    Review
  5. Article
  6. Article
  7. Multi-dimensional NMR without coherence transfer: minimizing losses in large systems.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2011
    Article
  8. 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

4 authors.

Shan LiuComplex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602, USA.
Lu Meng
Kelley W Moremen
James H Prestegard

Funding

ZINC DEFICIENCY &PROTEIN EXPRESSION IN RAT OLFACTORY BULBSP41RR005351 · NCRR · UNIVERSITY OF GEORGIA (UGA) · PI VENOT, ANDRE · 1989 to 2011
$18.4M
NCRR NIH HHS P41 RR005351NCRR NIH HHS RR05351
6 · The paper itself

Abstract

The alpha-2,6-sialyltransferase (ST6Gal-I) is a key enzyme that regulates the distribution of sialic acid-containing molecules on mammalian cell surfaces. However, the fact that its native form is membrane-bound and glycosylated has made structural characterization by X-ray crystallography of this eukaryotic protein difficult. Its large size ( approximately 40 kDa for just the catalytic domain) also poses a challenge for complete structure determination by nuclear magnetic resonance (NMR). However, even without complete structure determination, there are NMR strategies that can return targeted information about select regions of the protein, including information about the active site as seen from the perspective of its bound ligands. Here, in a continuation of a previous study, a spin-labeled mimic of a glycan acceptor ligand is used to identify additional amino acids located in the protein active site. In addition, the spin-labeled donor is used to characterize the relative placement of the two bound ligands. The ligand conformation and protein-ligand contact surfaces are studied by transferred nuclear Overhauser effects (trNOEs) and saturation transfer difference (STD) experiments. The data afforded by the methods mentioned above lead to a geometric model of the bound substrates that in many ways carries an imprint of the ST6Gal-I binding site.

Indexed as

beta-D-Galactoside alpha 2-6-SialyltransferaseCatalytic DomainLigandsMagnetic Resonance SpectroscopyModels, MolecularMolecular WeightSialyltransferasesSpin LabelsSubstrate Specificitybeta-D-Galactoside alpha 2-6-SialyltransferaseLigandsSialyltransferasesSpin Labels

Identifiers

PMID19845399
PMCPMC2790006

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Registered trials

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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.