Your browser doesn't support javascript.
loading
Fragment correlation mass spectrometry: Determining the structures of biopolymers in a complex mixture without isolating individual components.
Li, Yangjie; Cavet, Guy; Zare, Richard N; Driver, Taran.
Afiliación
  • Li Y; Department of Chemistry, Stanford University, Stanford, CA 94305.
  • Cavet G; Flatiron Bio, Palo Alto, CA 94301.
  • Zare RN; Department of Chemistry, Stanford University, Stanford, CA 94305.
  • Driver T; Stanford PULSE Institute, SLAC National Accelerator Laboratory, Menlo Park, CA 94025.
Proc Natl Acad Sci U S A ; 121(32): e2409676121, 2024 Aug 06.
Article en En | MEDLINE | ID: mdl-39074273
ABSTRACT
Fragment correlation mass spectrometry correlates ion pairs generated from the same fragmentation pathway, achieved by covariance mapping of tandem mass spectra generated with an unmodified linear ion trap without preseparation. We enable the identification of different precursors at different charge states in a complex mixture from a large isolation window, empowering an analytical approach for data-independent acquisition. The method resolves and matches isobaric fragments, internal ions, and disulfide bond fragments. We suggest that this method represents a major advance for analyzing structures of biopolymers in mixtures.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2024 Tipo del documento: Article