rMSIfragment: improving MALDI-MSI lipidomics through automated in-source fragment annotation

rMSIfragment: improving MALDI-MSI lipidomics through automated in-source fragment annotation

Abstract Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging (MALDI-MSI) spatially resolves the chemical composition of tissues. Lipids are of particular interest, as they influence important biological processes in health and disease. However, the identification of lipids in MALDI...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak: Gerard Baquer, Lluc Sementé, Pere Ràfols, Lucía Martín-Saiz, Christoph Bookmeyer, José A. Fernández, Xavier Correig, María García-Altares
Formatua: Artikulua
Hizkuntza:English
Argitaratua: BMC 2023-09-01
Saila:Journal of Cheminformatics
Gaiak:
In-source fragmentation
In-source decay
Lipids
Annotation
Mass spectrometry imaging
MALDI
Sarrera elektronikoa:https://doi.org/10.1186/s13321-023-00756-2

Internet

https://doi.org/10.1186/s13321-023-00756-2

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