Maximum entropy determination of mammalian proteome dynamics.
Alexander J DearGonzalo A GarciaGeorg MeislGalen A CollinsTuomas P J KnowlesAlfred L GoldbergPublished in: Proceedings of the National Academy of Sciences of the United States of America (2024)
Full understanding of proteostasis and energy utilization in cells will require knowledge of the fraction of cell proteins being degraded with different half-lives and their rates of synthesis. We therefore developed a method to determine such information that combines mathematical analysis of protein degradation kinetics obtained in pulse-chase experiments with Bayesian data fitting using the maximum entropy principle. This approach will enable rapid analyses of whole-cell protein dynamics in different cell types, physiological states, and neurodegenerative disease. Using it, we obtained surprising insights about protein stabilities in cultured cells normally and upon activation of proteolysis by mTOR inhibition and increasing cAMP or cGMP. It revealed that >90% of protein content in dividing mammalian cell lines is long-lived, with half-lives of 24 to 200 h, and therefore comprises much of the proteins in daughter cells. The well-studied short-lived proteins (half-lives < 10 h) together comprise <2% of cell protein mass, but surprisingly account for 10 to 20% of measurable newly synthesized protein mass. Evolution thus appears to have minimized intracellular proteolysis except to rapidly eliminate misfolded and regulatory proteins.
Keyphrases
- single cell
- induced apoptosis
- protein protein
- cell therapy
- amino acid
- cell cycle arrest
- binding protein
- healthcare
- cell proliferation
- nitric oxide
- stem cells
- cell death
- machine learning
- big data
- oxidative stress
- endoplasmic reticulum stress
- small molecule
- mesenchymal stem cells
- transcription factor
- bone marrow
- high resolution
- data analysis
- health information