[en] Our skin is constantly exposed to solar radiation, high oxygen levels, and
environmental pollutants. Our study aims to target specific native (LipS) and
oxidized phospholipids (oxLipS) that are known to be senescence-associated
secretory phenotype (SASP) related (i.e., LysoPC, oxPAPC). The production of
these oxidized species is obtained after exposure to UV light. Here, we employ
MALDI FTICR mass spectrometry imaging (MSI) to visualize and identify lipid
species of interest in an organotypic model system and to integrate this
data with the open-source software Cytomine.
Disciplines :
Computer science
Author, co-author :
Zoratto, Samuele
Christopher Kremslehner
Michaela Sochorova
Rubens, Ulysse ; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Le, Ba ; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Marée, Raphaël ; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Florian Gruber
Martina Marchetti-Deschmann
Language :
English
Title :
Integration of MALDI FTICR MSI data with the open-source software Cytomine
