A conserved expression signature predicts growth rate and reveals cell & lineage-specific differences
Fig 4
A proliferation signature model can predict relative growth rates from gene expression for species and cell-types on which it was not trained.
(A) Genes and proliferation signature spearman correlation with proliferation rate (sorted by CFSE). Compare with KI67 or PCNA, proliferation signature has a better correlation with proliferation rate. (B) Using the proliferation signature to predict growth rate in budding yeast, we apply ssGSEA to calculate the enrichment score of proliferation signature for each sample. The Pearson correlation of proliferation signature score with growth rate is 0.82 (p = 8.9×10−7), the grey shading is a 95% confidence band. (C) Using the proliferation signature to predict growth rate in cancer cell lines, the Pearson correlation is 0.65 (p = 1.9×10−8), the grey shading is a 95% confidence band. (D) Comparison of proliferation signature score between 2C-like ESC and non-2C-like ESC (paired t-test, p = 0.04669).