Serviceeinschränkungen vom 12.-22.02.2026 - weitere Infos auf der UB-Homepage

Treffer: Regenerative proliferation of differentiated cells by mTORC1‐dependent paligenosis.

Title:
Regenerative proliferation of differentiated cells by mTORC1‐dependent paligenosis.
Source:
EMBO Journal; 4/3/2018, Vol. 37 Issue 7, p1-1, 17p, 10 Color Photographs, 1 Diagram, 3 Charts, 8 Graphs
Database:
Complementary Index

Weitere Informationen

Abstract: In 1900, Adami speculated that a sequence of context‐independent energetic and structural changes governed the reversion of differentiated cells to a proliferative, regenerative state. Accordingly, we show here that differentiated cells in diverse organs become proliferative via a shared program. Metaplasia‐inducing injury caused both gastric chief and pancreatic acinar cells to decrease mTORC1 activity and massively upregulate lysosomes/autophagosomes; then increase damage associated metaplastic genes such as <italic>Sox9</italic>; and finally reactivate mTORC1 and re‐enter the cell cycle. Blocking mTORC1 permitted autophagy and metaplastic gene induction but blocked cell cycle re‐entry at S‐phase. In kidney and liver regeneration and in human gastric metaplasia, mTORC1 also correlated with proliferation. In lysosome‐defective <italic>Gnptab</italic><sup>−/−</sup> mice, both metaplasia‐associated gene expression changes and mTORC1‐mediated proliferation were deficient in pancreas and stomach. Our findings indicate differentiated cells become proliferative using a sequential program with intervening checkpoints: (i) differentiated cell structure degradation; (ii) metaplasia‐ or progenitor‐associated gene induction; (iii) cell cycle re‐entry. We propose this program, which we term “paligenosis”, is a fundamental process, like apoptosis, available to differentiated cells to fuel regeneration following injury. [ABSTRACT FROM AUTHOR]

Copyright of EMBO Journal is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)