Advanced ScienceDevelopmental BiologyPeer-reviewed journal article
Osmolar modulation drives reversible cell cycle exit and human pluripotent cell differentiation via NF-κB and WNT signaling
Jonathan Sai‐Hong ChuiiD, Teresa Izuel IdoypeiD, Alessandra QualizzaiD, Rita Pires de Almeida, Lindsey Piessens, Bernard K. van der VeeriD, Gert VanmarckeiD, Aneta MalesaiD, Paraskevi AthanasouliiD, Ruben BooniD, Joris VriensiD, Leo A. van GrunsveniD, Kian Peng KohiD, Catherine M. VerfaillieiD, Frederic Lluı́siD
Abstract
Terminally differentiated cells are regarded as the most stable and common cell state in adult organisms as they reside in growth arrest and carry out their cellular function. Improving our understanding of the mechanisms involved in promoting cell cycle exit would facilitate our ability to manipulate pluripotent cells into mature tissues for both pharmacological and therapeutic use. Here, we demonstrated that a hyperosmolar environment enforced a protective p53-independent quiescent state in dedifferentiated hepatoma cells and pluripotent stem cells (PSCs)-derived models of human hepatocytes and endothelial cells, representing the endodermal and mesodermal lineages. Prolonged culture in hyperosmolar conditions stimulated transcriptional and functional cell maturation. Interestingly, hyperosmolar conditions did not only trigger cell cycle exit and cellular maturation but were also necessary to maintain this maturated state, as switching back to plasma osmolarity caused the loss of maturation markers and the gain of proliferative markers. Transcriptome analysis revealed activation of NF-{kappa}[V] and repression of WNT signaling as the two main pathways downstream of osmolarity-regulated growth arrest and cell maturation, respectively. This study revealed that increased osmolarity serves as a biochemical signal to promote long-term growth arrest, transcriptional changes, and maturation into different lineages, serving as a practical method to generate differentiated hiPSCs that resemble their mature counterpart more closely.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: cell type annotation
- approach: statistical model
- Citations
- 6
- FWCI
- 0.53
- Field percentile
- top 42%
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