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Katy Beckermann: New Paper in Nature Cancer – UnitedMet Enables Metabolic Profiling from RNA-Seq
Apr 20, 2025, 02:48

Katy Beckermann: New Paper in Nature Cancer – UnitedMet Enables Metabolic Profiling from RNA-Seq

Katy Beckermann, Medical Director of GU Clinical Research at Tennessee Oncology, posted on X:

“Exciting new paper in Nature Cancer: UnitedMet—a Bayesian model that imputes metabolite levels from RNA-seq data, enabling metabolic profiling without direct metabolite measurements.

Congrats Ed Reznik and Wesley Tansey on this exciting work.

Highlights:

  • Joint modeling of RNA-seq + metabolomics
  • Histology-associated metabolic differences across RCC subtypes
  • BAP1 mutations in ccRCC linked to oxidative metabolic phenotype
  • Enables metabolomic inference without needing direct measurements

A cool new way to go from genotype metabolism.”

Katy Beckermann: New Paper in Nature Cancer - UnitedMet Enables Metabolic Profiling from RNA-Seq