Evidence map›Paper›PMID 29623659›Full record

ArticleJournal of the American Society for Mass Spectrometry2018

Directed-Backbone Dissociation Following Bond-Specific Carbon-Sulfur UVPD at 213 nm.

Lance E Talbert, Ryan R Julian

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Ultraviolet Photodissociation of Tryptic Peptide Backbones at 213 nm.Journal of the American Society for Mass Spectrometry · 2020
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. 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

2 authors.

Lance E TalbertDepartment of Chemistry, University of California, Riverside, 501 Big Springs Road, Riverside, CA, 92521, USA.
Ryan R JulianDepartment of Chemistry, University of California, Riverside, 501 Big Springs Road, Riverside, CA, 92521, USA. ryan.julian@ucr.edu.

Funding

Identification of peptide epimers in crystallin proteinsR01GM107099 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI JULIAN, RYAN ROY · 2014 to 2017
$1.1M
NIGMS NIH HHS R01 GM107099NIGMS NIH HHS R01GM107099
6 · The paper itself

Abstract

Ultraviolet photodissociation or UVPD is an increasingly popular option for tandem-mass spectrometry experiments. UVPD can be carried out at many wavelengths, and it is important to understand how the results will be impacted by this choice. Here, we explore the utility of 213 nm photons for initiating bond-selective fragmentation. It is found that bonds previously determined to be labile at 266 nm, including carbon-iodine and sulfur-sulfur bonds, can also be cleaved with high selectivity at 213 nm. In addition, many carbon-sulfur bonds that are not subject to direct dissociation at 266 nm can be selectively fragmented at 213 nm. This capability can be used to site-specifically create alaninyl radicals that direct backbone dissociation at the radical site, creating diagnostic d-ions. Furthermore, the additional carbon-sulfur bond fragmentation capability leads to signature triplets for fragmentation of disulfide bonds. Absorption of amide bonds can enhance dissociation of nearby labile carbon-sulfur bonds and can be used for stochastic backbone fragmentation typical of UVPD experiments at shorter wavelengths. Several potential applications of the bond-selective fragmentation chemistry observed at 213 nm are discussed. Graphical Abstract ᅟ.

Indexed as

DisulfideExcited stateIodineLaserPhosphorylationPhotodissociation

Identifiers

PMID29623659
PMCPMC6087500

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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.