Gene expression networks involved in multiple cellular programs coexist in individual hepatocellular cancer cells

The gene expression networks of a single cell can be used to reveal type- and condition-specific patterns that account for states, identity, its responses environmental changes. We applied sequencing datasets define mRNA visualized potential cellular capacities among hepatocellular cancer cells. expressing numbers levels genes were highly heterogenous the characteristics dependent strongly on genes, especially oncogenes anti-oncogenes, in an individual cell. transcriptional activations anti-oncogenes linked inherent multiple programs, some which oppose contend against other processes, programs proliferation, differentiation, apoptosis, autophagy, epithelial-mesenchymal transition, ATP production, neurogenesis coexisted findings give rise hypothesis expresses balanced combinations undergoes given biological process by rapidly transmuting networks.