PIPages
Labs

John G. Albeck

University of California-Davis, CA·Biology

Glycolysis is the process by which cells break glucose down into lactate. It sits at the heart of diabetes, metabolic disease, cancer and immune function.

Fields

Biology

Biochemistry

Biophysics

Topics

glycolysis

single-cell metabolism

cell-to-cell variability

Grants
1 known grant, through Feb 2031

What they work on

  1. Use multiplexed live-cell sensors to constrain mathematical models of how glycolysis rates vary across single cells, and identify the smallest, most informative set of measurements.
  2. Test whether paired live-cell measurements of FBP, a glycolysis intermediate, and the NADH/NAD+ ratio can estimate each cell's glucose uptake and lactate production in epithelial, muscle and liver cells.
  3. Measure how glycolysis and protein synthesis rates are linked in single cells through activity of the signaling enzymes AKT, AMPK and mTOR.
  4. Build an integrated computational model of glycolytic flux and its signaling-network control, to predict effects of drugs targeting PI3K, AKT, mTOR and AMPK.

More about the research

Glycolysis has been modeled mathematically for decades, but almost always in bulk, averaging over millions of cells. Because of this, no one knows whether every cell in a tissue uses sugar at a similar rate, or whether small groups of cells do most of the work. This project asks how glycolysis varies from one cell to the next and what that variation means for cell growth, death and specialization.

Why it matters

Many drugs that act on the PI3K, AKT, mTOR and AMPK signaling pathways already exist. Models that predict how such drugs change sugar use in individual cells and tissues could aid treatment development for diabetes, aging and other metabolic disorders. Understanding how cell-to-cell differences in metabolism affect cell health could also inform how drugs work in cancer and other diseases.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

Modeling extensive cellular variability in glycolytic rates using multiplexed live-cell data

NIH · Apr 2026 – Feb 2031

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Ryan Hanson

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Test whether the length of time JNK, a stress-activated kinase, stays at mitochondria decides mitochondrial damage, reactive oxygen species production and cell death, using optogenetic tools to control JNK's location over time.

Savas Tay

University of Chicago, IL·Biomedical Engineering

Determine how sentinel cells encode information about pathogens and stress in cytokine dynamics, including memory of prior stimuli and causes of cytokine overproduction, using single-cell secretion assays and live-cell analysis.

The school

University of California-Davis: 49 labs on PI Pages, $1.0B a year on research, 647 research doctorates a year.

More about University of California-Davis

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