Artikel ; Online: Two-Dimensional Tandem Mass Spectrometry for Biopolymer Structural Analysis.
Angewandte Chemie (International ed. in English)
2024 Band 63, Heft 9, Seite(n) e202315904
Abstract: Biopolymer analysis, including proteomics and glycomics, relies heavily on the use of mass spectrometry for structural elucidation, including sequence determination. Novel methods to improve sample workup, instrument performance, and data analysis ... ...
Abstract | Biopolymer analysis, including proteomics and glycomics, relies heavily on the use of mass spectrometry for structural elucidation, including sequence determination. Novel methods to improve sample workup, instrument performance, and data analysis continue to be developed to address shortcomings associated with sample preparation, analysis time, data quality, and data interpretation. Here, we present a new method that couples in-source collision-induced dissociation (IS-CID) with two-dimensional tandem mass spectrometry (2D MS/MS) as a way to simplify proteomics and glycomics workflows while also providing additional insight into analyte structures over traditional MS/MS experiments. Specifically, IS-CID is employed as a gas-phase digestion method, i.e., to break down intact full-length polysaccharide or peptide ions prior to mass analysis. The resulting mixtures of oligomeric ions are analyzed by 2D-MS/MS, a technique that allows association of product ions with their precursor ions without isolation of the latter. A novel data analysis strategy is introduced to leverage the second dimension of 2D MS/MS spectra, in which stairstep patterns, representing outputs of a molecule's MS |
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Mesh-Begriff(e) | Tandem Mass Spectrometry/methods ; Peptides/chemistry ; Biopolymers ; Ions/chemistry ; Proteomics/methods |
Chemische Substanzen | Peptides ; Biopolymers ; Ions |
Sprache | Englisch |
Erscheinungsdatum | 2024-01-24 |
Erscheinungsland | Germany |
Dokumenttyp | Journal Article |
ZDB-ID | 2011836-3 |
ISSN | 1521-3773 ; 1433-7851 |
ISSN (online) | 1521-3773 |
ISSN | 1433-7851 |
DOI | 10.1002/anie.202315904 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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