Document Type
Article
Publication Date
2-28-2020
Keywords
JGM
JAX Source
J Theor Biol 2020 Feb 28; 493:110222
Volume
493
First Page
110222
Last Page
110222
ISSN
1095-8541
PMID
32114023
DOI
https://doi.org/10.1016/j.jtbi.2020.110222
Abstract
Ferroptosis is a recently discovered form of iron-dependent regulated cell death (RCD) that occurs via peroxidation of phospholipids containing polyunsaturated fatty acid (PUFA) moieties. Activating this form of cell death is an emerging strategy in cancer treatment. Because multiple pathways and molecular species contribute to the ferroptotic process, predicting which tumors will be sensitive to ferroptosis is a challenge. We thus develop a mathematical model of several critical pathways to ferroptosis in order to perform a systems-level analysis of the process. We show that sensitivity to ferroptosis depends on the activity of multiple upstream cascades, including PUFA incorporation into the phospholipid membrane, and the balance between levels of pro-oxidant factors (reactive oxygen species, lipoxogynases) and antioxidant factors (GPX4). We perform a systems-level analysis of ferroptosis sensitivity as an outcome of five input variables (ACSL4, SCD1, ferroportin, transferrin receptor, and p53) and organize the resulting simulations into 'high' and 'low' ferroptosis sensitivity groups. We make a novel prediction corresponding to the combinatorial requirements of ferroptosis sensitivity to SCD1 and ACSL4 activity. To validate our prediction, we model the ferroptotic response of an ovarian cancer stem cell line following single- and double-knockdown of SCD1 and ACSL4. We find that the experimental outcomes are consistent with our simulated predictions. This work suggests that a systems-level approach is beneficial for understanding the complex combined effects of ferroptotic input, and in predicting cancer susceptibility to ferroptosis.
Recommended Citation
Konstorum A,
Tesfay L,
Paul B,
Torti F,
Laubenbacher R,
Torti S.
Systems biology of ferroptosis: A modeling approach. J Theor Biol 2020 Feb 28; 493:110222
Comments
This is an open access article under the CC BY-NC-ND license.