A Comparative Bioinformatic Analysis of Optic Nerve Axon Regeneration Lipidomes Using the <i>Xenopus laevis</i> as a Model System.

ABSTRACT: Lipidomics is a rapidly growing branch of metabolomics that identifies lipid compositions of samples to learn more about disease and identify potential novel therapeutic targets. In the context of ophthalmology, lipidomic research has increased our understanding of optic nerve regeneration. The diversity of experimental designs for lipidomic research and the large datasets generated are two obstacles that must be addressed by bioinformatic tools to perform statistical analysis on lipidomics data. Our study provides an objective comparison of the features in two freely accessible web-based bioinformatics tools, MetaboAnalyst 6.0 and LipidOne 2.3, for analyzing an optic nerve regeneration model lipidome. A publicly available lipidomic dataset of the optic nerve axon regeneration model, Xe

SUBMITTER: Volante VS 

PROVIDER: S-EPMC12452370 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature