LiLA: lipid lung-based ATLAS built through a comprehensive workflow designed for an accurate lipid annotation.

ABSTRACT: Accurate lipid annotation is crucial for understanding the role of lipids in health and disease and identifying therapeutic targets. However, annotating the wide variety of lipid species in biological samples remains challenging in untargeted lipidomic studies. In this work, we present a lipid annotation workflow based on LC-MS and MS/MS strategies, the combination of four bioinformatic tools, and a decision tree to support the accurate annotation and semi-quantification of the lipid species present in lung tissue from control mice. The proposed workflow allowed us to generate a lipid lung-based ATLAS (LiLA), which was then employed to unveil the lipidomic signatures of the Mycobacterium tuberculosis infection at two different time points for a deeper understanding of the disease progressi

SUBMITTER: Fernandez Requena B 

PROVIDER: S-EPMC10770321 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature