What is it about?
E = m c^2 is Einstein's landmark equation that says Energy scales with mass and the speed of light squared. Examples of characteristic scaling pervade science and are foundational for predictive science. We discovered that such characteristic scaling relationships also exist between some genes expressed in many tissues and tumors. We focused on a structural factor in the nucleus, called lamin-B1, and the main structural factor outside cells, called collagen-1, which builds up fibers and fibrosis after wounding. Genes that scale with these also prove useful for predicting cancer patient survival.
Photo by Gene Taylor on Unsplash
Why is it important?
Data, data, data is being generated at very high rates as gene lists and gene sets, but quantitative understanding and quantitative predictions require us to move beyond correlations -- if possible. Universal scaling in large datasets is possible, we show, and should make us all think more quantitatively about regulation at the gene and protein levels.
Read the Original
This page is a summary of: Scaling concepts in ‘omics: Nuclear lamin-B scales with tumor growth and often predicts poor prognosis, unlike fibrosis, Proceedings of the National Academy of Sciences, November 2021, Proceedings of the National Academy of Sciences, DOI: 10.1073/pnas.2112940118.
You can read the full text:
The following have contributed to this page