Evidence map›Paper›PMID 28799075›Full record

ArticleJournal of the American Society for Mass Spectrometry2017

Amino Acid Insertion Frequencies Arising from Photoproducts Generated Using Aliphatic Diazirines.

Daniel S Ziemianowicz, Ryan Bomgarden, Chris Etienne, David C Schriemer

Abstract read
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In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  4. Review
  5. Article
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  7. Article
  8. Article
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  14. Article
  15. Article
  16. Labeling Preferences of Diazirines with Protein Biomolecules.Journal of the American Chemical Society · 2021
    Article
  17. Article
  18. Review
  19. Article
  20. 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

4 authors.

Daniel S ZiemianowiczDepartment of Biochemistry and Molecular Biology, University of Calgary, Calgary, AB, T2N 4N1, Canada.
Ryan BomgardenThermo Fisher Scientific, 3747 N. Meridian Rd., Rockford, IL, 61101, USA.
Chris EtienneThermo Fisher Scientific, 3747 N. Meridian Rd., Rockford, IL, 61101, USA.
David C SchriemerDepartment of Biochemistry and Molecular Biology, University of Calgary, Calgary, AB, T2N 4N1, Canada. dschriem@ucalgary.ca.

Funding

NSERC 298351-2010
6 · The paper itself

Abstract

Mapping proteins with chemical reagents and mass spectrometry can generate a measure of accessible surface area, which in turn can be used to support the modeling and refinement of protein structures. Photolytically generated carbenes are a promising class of reagent for this purpose. Substituent effects appear to influence surface mapping properties, allowing for a useful measure of design control. However, to use carbene labeling data in a quantitative manner for modeling activities, we require a better understanding of their inherent amino acid reactivity, so that incorporation data can be normalized. The current study presents an analysis of the amino acid insertion frequency of aliphatic carbenes generated by the photolysis of three different diazirines: 3,3'-azibutyl-1-ammonium, 3,3'-azibutan-1-ol, and 4,4'-azipentan-1-oate. Leveraging an improved photolysis system for single-shot labeling of sub-microliter frozen samples, we used EThCD to localize insertion products in a large population of labeled peptides. Counting statistics were drawn from data-dependent LC-MS

Indexed as

Amino AcidsAmino Acid SequenceChromatography, LiquidDiazomethaneIndicators and ReagentsIsomerismMethanePhotolysisProteinsTandem Mass SpectrometryAmino AcidscarbeneDiazomethaneIndicators and ReagentsMethaneProteinsCarbeneCovalent labeling mass spectrometryDiazirineEThCDFootprinting

Identifiers

What OpenQuestion holds

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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.