Evidence map›Paper›PMID 25031183›Full record

ArticleJournal of the American Society for Mass Spectrometry2014

Reliable identification of cross-linked products in protein interaction studies by 13C-labeled p-benzoylphenylalanine.

Jens Pettelkau, Christian H Ihling, Petra Frohberg, Lars van Werven, Olaf Jahn, Andrea Sinz

Abstract read
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In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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  3. Reading and Writing the Ubiquitin Code Using Genetic Code Expansion.Chembiochem : a European journal of chemical biology · 2024
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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.

Jens PettelkauDepartment of Pharmaceutical Chemistry and Bioanalytics, Institute of Pharmacy, Martin-Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany.
Christian H Ihling
Petra Frohberg
Lars van Werven
Olaf Jahn
Andrea Sinz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe the use of the (13)C-labeled artificial amino acid p-benzoyl-L-phenylalanine (Bpa) to improve the reliability of cross-linked product identification. Our strategy is exemplified for two protein-peptide complexes. These studies indicate that in many cases the identification of a cross-link without additional stable isotope labeling would result in an ambiguous assignment of cross-linked products. The use of a (13)C-labeled photoreactive amino acid is considered to be preferred over the use of deuterated cross-linkers as retention time shifts in reversed phase chromatography can be ruled out. The observation of characteristic fragment ions additionally increases the reliability of cross-linked product assignment. Bpa possesses a broad reactivity towards different amino acids and the derived distance information allows mapping of spatially close amino acids and thus provides more solid structural information of proteins and protein complexes compared to the longer deuterated amine-reactive cross-linkers, which are commonly used for protein 3D-structure analysis and protein-protein interaction studies.

Indexed as

Amino Acid SequenceAnimalsBenzophenonesCalmodulinCarbon IsotopesCattleCross-Linking ReagentsGuanylate Cyclase-Activating ProteinsIsotope LabelingModels, MolecularMolecular Sequence DataPeptidesPhenylalanineProtein Interaction MappingProteinsSpectrometry, Mass, Electrospray Ionization4-benzoylphenylalanineBenzophenonesCalmodulinCarbon IsotopesCross-Linking ReagentsGuanylate Cyclase-Activating ProteinsPeptidesPhenylalanineProteins

Identifiers

What OpenQuestion holds

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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.