Helen O. Masson

The paper presents secRecon, a comprehensive secretory pathway reconstruction, and uses it to identify secretory differences in plasma cells and CHO cells, highlighting potential targets for improving secretion capacity.

The paper introduces secCellFie, a tool that infers secretory and metabolic pathway activity from omic data, demonstrating its application in immune cells, NAFLD hepatokine secretion, and antibody production in Chinese Hamster Ovary cells.

The paper identifies transcriptomic signatures that explain most of the variation in recombinant protein yield in CHO cells producing 2165 human secretome proteins.

ImmCellFie infers cell metabolic capabilities from transcriptomic or proteomic data using genome-scale models and provides interactive analysis tools.

The paper introduces a framework to predict how changes in omics data affect metabolic functions in mammalian cells using curated metabolic tasks and genome-scale networks.

The paper updates a genome-scale metabolic model of CHO cells by adding new reactions and genes through gap-filling approaches, improving its predictive power.