Óscar Yanes

This study identifies reversible and persistent molecular changes in diet-induced obesity using multi-omic analysis, showing that microbial functional profiles drive persistent alterations.

This paper introduces a method using solid ionic matrices with low-temperature evaporation to improve MALDI-MSI sensitivity and resolution for small metabolites, achieving detection of 73 metabolites in mouse brain.

The paper introduces a targeted metabolomic method to detect epigenetically relevant metabolites using biphasic extraction and stable isotope tracing.

ChemEmbed improves metabolite identification by combining enhanced MS/MS data with multidimensional molecular embeddings, achieving high accuracy in benchmark tests.

SingleFrag predicts MS/MS fragments and annotates metabolites using deep learning, outperforming existing tools and identifying three unknown compounds in human samples.

This paper introduces low-temperature thermal evaporation (LTE) for matrix deposition in MALDI-MSI, showing improved image quality, purity, and stability compared to traditional methods.

This study presents a multi-omics analysis of a supercentenarian, revealing that extreme age and poor health are distinct molecular processes.

This study identifies H4K20me3 heterochromatin in persister cancer cells, which reduces their inflammatory profile and reveals vulnerabilities in one-carbon metabolism.

This study investigates the effects of ADSL deficiency on neurodevelopment, showing both SAICAr-dependent and independent mechanisms contributing to pathologies like microcephaly and autism.

HERMES improves metabolite identification and structural annotation in mass spectrometry by using molecular formulas and avoiding peak detection.