MSIpixel: a fully automated pipeline for compound annotation and quantitation in mass spectrometry imaging experiments.

Autor:	Morosi, Lavinia, Miotto, Matteo, Timo, Sara, Carloni, Sara, Bruno, Eleonora, Meroni, Marina, Menna, Elisabetta, Lodato, Simona, Rescigno, Maria, Martano, Giuseppe
Předmět:	ANNOTATIONS COMPLEX matrices SINGLE molecules SMALL molecules METABOLOMICS
Zdroj:	Briefings in Bioinformatics; Jan2024, Vol. 25 Issue 1, p1-7, 7p
Abstrakt:	Mass spectrometry imaging (MSI) is commonly used to map the spatial distribution of small molecules within complex biological matrices. One of the major challenges in imaging MS-based spatial metabolomics is molecular identification and metabolite annotation, to address this limitation, annotation is often complemented with parallel bulk LC-MS2-based metabolomics to confirm and validate identifications. Here we applied MSI method, utilizing data-dependent acquisition, to visualize and identify unknown molecules in a single instrument run. To reach this aim we developed MSIpixel, a fully automated pipeline for compound annotation and quantitation in MSI experiments. It overcomes challenges in molecular identification, and improving reliability and comprehensiveness in MSI-based spatial metabolomics. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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