Nature GeneticsCancer BiologyPeer-reviewed journal article
Active repression of cell fate plasticity by PROX1 safeguards hepatocyte identity and prevents liver tumourigenesis
Bryce LimiD, Aryan KamaliD, Borja Gomez RamosiD, Juan M. Adrian-SegarraiD, Ignacio L. IbarraiD, Lennart DignasiD, Tim KindingeriD, Kai Volz, Mohammad RahbariiD, Nuh N. RahbariiD, Eric Poisel, Kanela Kafetzopoulou, Lio Böse, Marco BreinigiD, Danijela HeideiD, Suchira GallageiD, Jose Efren Barragan AvilaiD, Hendrik WiethoffiD, Ivan BerestiD, Sarah SchnabellehneriD, Martin A. SchneideriD, Jonas BeckeriD, Dominic HelmiD, Dirk GrimmiD, Taija MäkineniD, , Moritz MalliD
Abstract
Cell fate plasticity enables development, yet unlocked plasticity is a cancer hallmark. Regulating cell identity requires gene activation and repression. While master regulators induce lineage-specific genes to restrict plasticity, it remains unclear whether unwanted plasticity is actively suppressed by lineage-specific repressors. Here, we computationally predict so-called safeguard repressors for 18 cell types that block phenotypic plasticity lifelong. We validated hepatocyte-specific candidates using reprogramming, revealing that Prospero homeobox protein 1 (PROX1) enhanced hepatocyte identity by direct repression of alternate fate master regulators. In mice, Prox1 was required for efficient hepatocyte regeneration after injury and acted as a tumour suppressor in multiple liver cancer models. In line with patient data, Prox1 depletion caused hepatocyte fate loss in vivo, and promoted transition of hepatocellular carcinoma to cholangiocarcinoma, conversely, overexpression promoted cholangiocarcinoma to hepatocellular carcinoma transdifferentiation. Our findings provide mechanistic evidence for PROX1 as a hepatocyte-specific safeguard and support a model where individual cell type-specific repressors actively suppress plasticity throughout life to safeguard lineage choice and prevent disease.
- organism: mouse
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 19
- FWCI
- 7.56
- Field percentile
- top 2%
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