Melissa L. Fishel

This paper introduces mmFEA, a kinetic-aware framework for estimating metabolic flux changes from transcriptomics and metabolomics data, showing improved accuracy over baseline methods.

This study identifies extravascular coagulation as a regulator of fibrotic stromal states in PDAC via tumor-intrinsic PAR1 signaling, showing PAR1 inhibition can reprogram the tumor-promoting stroma.

This paper uses integrated PTM proteomics to show that Ref-1 inhibition rapidly remodels redox and mitochondrial signaling in pancreatic cancer cells.

This paper identifies PRMT5 as a therapeutic target in MTAP-deficient MPNSTs, showing that its inhibition suppresses cell growth and enhances DNA damage when combined with chemotherapy.

This study shows ZNF423 depletion triggers the integrated stress response and sensitizes NF1-associated MPNST to chemotherapy, identifying it as a potential therapeutic target.

This paper introduces scFEA, a graph neural network model to estimate cell-wise metabolic flux from scRNA-seq data, validated with matched metabolomics data and applied to multiple datasets.

The paper introduces LTMG, a model for capturing transcriptional regulatory heterogeneities in scRNA-seq data, showing improved fitting and validation on multiple datasets.