Hooman Hefzi

This study investigates how glycan structures affect GM-CSF bioactivity by engineering glycoforms in Chinese hamster ovary cells and testing their effects on TF-1 cell proliferation.

This paper trains a deep learning model on multiomics data to predict metabolic dynamics in synthetic biology, achieving high accuracy in predicting product and metabolite levels.

The paper presents iCHO3K, a comprehensive metabolic model of Chinese Hamster cells, and uses it to analyze metabolic changes in lactate-free cells, identifying structural insights into metabolic rewiring.

This study eliminates the Warburg Effect in mammalian cells by knocking out lactate dehydrogenase and feedback regulators, maintaining growth rate while reducing lactate production.

This paper develops a virus-free CRISPR screening platform for CHO cells, identifying 338 essential genes and 76 genes involved in ER stress.

The paper revises transcription start site annotations in Chinese hamster genes using experimental data to improve gene engineering and glycosylation in CHO cells.

The paper investigates how post-translational modifications in Escherichia coli regulate metabolic adaptation to environmental changes, showing their impact on fitness and pathway usage.