Transcript errors generate a continuous stream of amyloid and prion-like proteins in human cells

C.Y. Chung,Yi Kou, Sarah Shemtov,Bert M. Verheijen, Ilse Flores, Kayla Love,Ashley Del Dosso,Max Thorwald, Yuchen Liu, Renaldo G. Toney, Luz Marina Carrillo, Megan Nguyen,Biao Huang,Yuxin Jin, Ashley Michelle Jauregui, J. Quiróz,Darcie L. Moore,Stephen D. Simpson, Kelley Thomas,Marcelo P. Coba,Zhongwei Li,Bérénice A. Benayoun,Joshua J. C. Rosenthal,Scott R. Kennedy,Giorgia Quadrato,Jean-François Goût,Chia-Lin Chen,Marc Vermulst

bioRxiv (Cold Spring Harbor Laboratory)(2023)

引用 0|浏览10
暂无评分
摘要
ABSTRACT Aging is characterized by the accumulation of amyloid and prion-like proteins. However, the molecular mechanisms by which these proteins arise remain unclear. Here, we demonstrate that transcript errors generate amyloid and prion-like proteins in a wide variety of human cell types, including stem cells, brain organoids, and fully differentiated neurons. Intriguingly, some of these proteins are identical to proteins previously implicated in familial cases of amyloid diseases, raising the possibility that both familial and non-familial cases are caused by identical mutant proteins. However, transcript errors also generate amyloid proteins that have not been observed before, suggesting that aging cells are exposed to a second class of pathogenic proteins we are currently unaware of. Finally, we show that transcript errors are readily generated by DNA damage, a hallmark of human aging and a staple of multiple proteotoxic diseases, including Alzheimer’s disease. Together, these observations greatly expand our understanding of mutagenesis in human aging and disease and suggest a new mechanism by which amyloid diseases can develop.
更多
查看译文
关键词
amyloid,proteins,cells,prion-like
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要