Evidence map›Paper›PMID 22960995›Full record

ArticleJournal of biomolecular NMR2012

Lysine methylation strategies for characterizing protein conformations by NMR.

Sacha Thierry Larda, Michael P Bokoch, Ferenc Evanics, R Scott Prosser

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Article in Journal of biomolecular NMR, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

15 citing papers in PubMed.

  1. Quantitative Peptidomics Using Reductive Methylation of Amines.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  2. Article
  3. Capturing Peptide-GPCR Interactions and Their Dynamics.Molecules (Basel, Switzerland) · 2020
    Review
  4. Analysis of βProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  5. Article
  6. Article
  7. ProteinJournal of biomolecular NMR · 2017
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. 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.

Sacha Thierry LardaDepartment of Chemical and Physical Sciences, University of Toronto, UTM, 3359 Mississauga Rd. North, Mississauga, ON L5L 1C6, Canada. s.larda@utoronto.ca
Michael P Bokoch
Ferenc Evanics
R Scott Prosser

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the presence of formaldehyde and a mild reducing agent, reductive methylation is known to achieve near complete dimethylation of protein amino groups under non-denaturing conditions, in aqueous media. Amino methylation of proteins is employed in mass spectrometric, crystallographic, and NMR studies. Where biosynthetic labeling is prohibitive, amino (13)C-methylation provides an attractive option for monitoring folding, kinetics, protein-protein and protein-DNA interactions by NMR. Here, we demonstrate two improvements over traditional (13)C-reductive methylation schemes: (1) By judicious choice of stoichiometry and pH, ε-aminos can be preferentially monomethylated. Monomethyl tags are less perturbing and generally exhibit improved resolution over dimethyllysines, and (2) By use of deuterated reducing agents and (13)C-formaldehyde, amino groups can be labeled with (13)CH(2)D tags. Use of deutero-(13)C-formaldehyde affords either (13)CHD(2), or (13)CD(3) probes depending on choice of reducing agent. Making use of (13)C-(2)H scalar couplings, we demonstrate a filtering scheme that eliminates natural abundance (13)C signal.

Indexed as

Carbon IsotopesHydrogen-Ion ConcentrationKineticsLysineMethylationNuclear Magnetic Resonance, BiomolecularProtein ConformationProteinsCarbon IsotopesLysineProteins

Identifiers

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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.