Evidence map›Paper›PMID 34704048›Full record

ReviewRSC chemical biology2021

Segmental and site-specific isotope labelling strategies for structural analysis of posttranslationally modified proteins.

Dominik P Vogl, Anne C Conibear, Christian F W Becker

Abstract readReview
In one paragraph

Review in RSC chemical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Synthesis of aChembiochem : a European journal of chemical biology · 2025
    Article
  2. Article
  3. Article
  4. A Chemical Biology Primer for NMR Spectroscopists.Journal of magnetic resonance open · 2022
    Article
  5. Article
  6. 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

3 authors.

Dominik P VoglUniversity of Vienna, Faculty of Chemistry, Institute of Biological Chemistry Währinger Straße 38 1090 Vienna Austria christian.becker@univie.ac.at +43-1-4277-870510 +43-1-4277-70510.
Anne C ConibearThe University of Queensland, School of Biomedical Sciences St Lucia Brisbane 4072 QLD Australia.ORCID https://orcid.org/0000-0002-5482-6225
Christian F W BeckerUniversity of Vienna, Faculty of Chemistry, Institute of Biological Chemistry Währinger Straße 38 1090 Vienna Austria christian.becker@univie.ac.at +43-1-4277-870510 +43-1-4277-70510.ORCID https://orcid.org/0000-0002-8890-7082

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Posttranslational modifications can alter protein structures, functions and locations, and are important cellular regulatory and signalling mechanisms. Spectroscopic techniques such as nuclear magnetic resonance, infrared and Raman spectroscopy, as well as small-angle scattering, can provide insights into the structural and dynamic effects of protein posttranslational modifications and their impact on interactions with binding partners. However, heterogeneity of modified proteins from natural sources and spectral complexity often hinder analyses, especially for large proteins and macromolecular assemblies. Selective labelling of proteins with stable isotopes can greatly simplify spectra, as one can focus on labelled residues or segments of interest. Employing chemical biology tools for modifying and isotopically labelling proteins with atomic precision provides access to unique protein samples for structural biology and spectroscopy. Here, we review site-specific and segmental isotope labelling methods that are employed in combination with chemical and enzymatic tools to access posttranslationally modified proteins. We discuss illustrative examples in which these methods have been used to facilitate spectroscopic studies of posttranslationally modified proteins, providing new insights into biology.

Identifiers

PMID34704048
PMCPMC8496066

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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.