eLife assessment
This important study uses machine learning-based network analysis on transcriptomic data from different tissue cell types to identify a small set of conserved (pan-tissue) genes associated with changes in cell mechanics. The new method is compelling and, together with rigorous in silico and experimental validation, provides convincing evidence for the claims. The study would be strengthened with an expanded set of validation (e.g. testing genes with hitherto unknown roles and different perturbation techniques), but will nonetheless be of broad interest to cell biologists, biophysicists, and bioengineers.