Roland Nilsson

The paper introduces a high-throughput rLC-MS system for metabolomics analysis, demonstrating its ability to capture metabolic variation in large human populations and predict metabolic aging.

This paper introduces a method using isotope tracing and mass isotopomer distributions to identify novel metabolites in mass spectrometry data, achieving 62% identification of unknown peaks.

This study identifies B12 deficiency as the cause of methionine dependence in cancer cells, showing that restoring B12 rescues growth on homocysteine and reduces metastatic potential.

The paper derives and validates a linear transform for correcting natural isotope abundance in metabolic flux analysis, showing it yields the same flux solution as observed data for noise-free cases.