Evidence map›Paper›PMID 25002097›Full record

ArticleJournal of biomolecular NMR2014

Selective (15)N-labeling of the side-chain amide groups of asparagine and glutamine for applications in paramagnetic NMR spectroscopy.

Chan Cao, Jia-Liang Chen, Yin Yang, Feng Huang, Gottfried Otting, Xun-Cheng Su

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In one paragraph

Article in Journal of biomolecular NMR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Distinct association of HRAS and KRAS with MnMagnetic resonance letters · 2025
    Article
  3. Article
  4. Review
  5. In-Cell Trityl-Trityl Distance Measurements on Proteins.The journal of physical chemistry letters · 2020
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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

6 authors at 2 institutions in 2 countries.

Chan CaoState Key Laboratory of Elemento-Organic Chemistry, College of Chemistry, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Nankai University, Tianjin, 300071, China.
Jia-Liang Chen
Yin Yang
Feng Huang
Gottfried Otting
Xun-Cheng Su
Nankai University · CNAustralian National University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The side-chain amide groups of asparagine and glutamine play important roles in stabilizing the structural fold of proteins, participating in hydrogen-bonding networks and protein interactions. Selective (15)N-labeling of side-chain amides, however, can be a challenge due to enzyme-catalyzed exchange of amide groups during protein synthesis. In the present study, we developed an efficient way of selectively labeling the side chains of asparagine, or asparagine and glutamine residues with (15)NH2. Using the biosynthesis pathway of tryptophan, a protocol was also established for simultaneous selective (15)N-labeling of the side-chain NH groups of asparagine, glutamine, and tryptophan. In combination with site-specific tagging of the target protein with a lanthanide ion, we show that selective detection of (15)N-labeled side-chains of asparagine and glutamine allows determination of magnetic susceptibility anisotropy tensors based exclusively on pseudocontact shifts of amide side-chain protons.

Indexed as

AsparagineEscherichia coliEscherichia coli ProteinsGlutamineIsotope LabelingNitrogen IsotopesNuclear Magnetic Resonance, BiomolecularAsparagineEscherichia coli ProteinsGlutamineNitrogen Isotopes

Identifiers

PMID25002097
OpenAlexW2035954161

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.