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Negative Electron Transfer Dissociation Sequencing of 3-O-Sulfation-Containing Heparan Sulfate Oligosaccharides

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, March 2018
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Title
Negative Electron Transfer Dissociation Sequencing of 3-O-Sulfation-Containing Heparan Sulfate Oligosaccharides
Published in
Journal of the American Society for Mass Spectrometry, March 2018
DOI 10.1007/s13361-018-1907-0
Pubmed ID
Authors

Jiandong Wu, Juan Wei, John D. Hogan, Pradeep Chopra, Apoorva Joshi, Weigang Lu, Joshua Klein, Geert-Jan Boons, Cheng Lin, Joseph Zaia

Abstract

Among dissociation methods, negative electron transfer dissociation (NETD) has been proven the most useful for glycosaminoglycan (GAG) sequencing because it produces informative fragmentation, a low degree of sulfate losses, high sensitivity, and translatability to multiple instrument types. The challenge, however, is to distinguish positional sulfation. In particular, NETD has been reported to fail to differentiate 4-O- versus 6-O-sulfation in chondroitin sulfate decasaccharide. This raised the concern of whether NETD is able to differentiate the rare 3-O-sulfation from predominant 6-O-sulfation in heparan sulfate (HS) oligosaccharides. Here, we report that NETD generates highly informative spectra that differentiate sites of O-sulfation on glucosamine residues, enabling structural characterizations of synthetic HS isomers containing 3-O-sulfation. Further, lyase-resistant 3-O-sulfated tetrasaccharides from natural sources were successfully sequenced. Notably, for all of the oligosaccharides in this study, the successful sequencing is based on NETD tandem mass spectra of commonly observed deprotonated precursor ions without derivatization or metal cation adduction, simplifying the experimental workflow and data interpretation. These results demonstrate the potential of NETD as a sensitive analytical tool for detailed, high-throughput structural analysis of highly sulfated GAGs. Graphical Abstract.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 36%
Student > Master 3 14%
Professor 2 9%
Student > Doctoral Student 2 9%
Researcher 2 9%
Other 1 5%
Unknown 4 18%
Readers by discipline Count As %
Chemistry 7 32%
Agricultural and Biological Sciences 5 23%
Biochemistry, Genetics and Molecular Biology 2 9%
Computer Science 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 1 5%
Unknown 4 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 April 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#2,946
of 3,835 outputs
Outputs of similar age
#255,376
of 347,622 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#50
of 74 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,835 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.