Facundo M. Fernández

This study identifies shared and sex-specific molecular responses to endurance training in skeletal muscle using multi-omics data from rats.

This paper introduces a method to infer lipid CCS values from LC-Orbitrap MS data, improving isomer annotation in lipidomics with high precision and accuracy.

The paper develops a workflow to map metabolic neighborhoods in neural rosettes using MALDI imaging and single-cell analysis, enabling spatial and metabolic characterization of differentiating stem cells.

The paper identifies tissue-specific transcriptional regulatory programs in rats undergoing endurance exercise training by integrating chromatin accessibility, DNA methylation, and gene expression data.

This study examines how PFOA exposure affects metabolism and immune response to SARS-2 in ferrets, finding altered metabolic responses and impaired immune function.

This study identifies sex-specific multi-omic responses to endurance exercise training in rat lungs, revealing differences in immune pathways and mitochondrial acetylation between males and females.

PubMedBERT embeddings of 80,656 metabolomics abstracts, projected with t-SNE and grouped into 20 GPT-4o mini-labelled topics, map the field's domains and trends (1998 to early 2024), browsable online.

This study examines how endurance exercise affects liver metabolism in male and female rats over time, revealing sex-specific molecular changes and protective effects.

This study uses spatial lipidomics to identify brain lipid alterations in rats with mild traumatic brain injury and repetitive mild traumatic brain injury.

This paper develops an AutoML-XAI pipeline for metabolomics data, improving cancer diagnostics by combining automated machine learning with explainable AI techniques.

This study examines how endurance exercise training affects rat subcutaneous white adipose tissue, revealing sex-specific molecular responses and differences in adiposity and metabolism.

The paper improves compound identification and inter-laboratory reproducibility in untargeted lipidomics using harmonized methods and spectral analysis.

This study maps multi-omic mitochondrial changes across 19 tissues in rats after endurance exercise training, identifying tissue-specific adaptations and disease-related hubs.

The paper introduces an experimental design with anchor strains to reduce batch effects in metabolomics, enabling integration of NMR and LC-MS data across studies.

This study profiles multi-omic changes in multiple tissues of rats during endurance exercise training, identifying molecular adaptations and sex-specific responses across time.