p(HGNC:ULK1, pmod(Ph))
The mammalian target of rapamycin (mTOR) kinase negatively modulates autophagy by phosphorylating Atg1, an autophagy initiating factor, while adenosine monophosphate-activated protein kinase (AMPK), a major sensor for the cellular energy status, activates autophagy through inhibiting mTOR signaling as well as by direct phosphorylation of Atg1 (Egan et al., 2011; Kim et al., 2011). Increased mTOR activity results in autophagy downregulation and tau accumulation. PubMed:23528736
The mammalian target of rapamycin (mTOR) kinase negatively modulates autophagy by phosphorylating Atg1, an autophagy initiating factor, while adenosine monophosphate-activated protein kinase (AMPK), a major sensor for the cellular energy status, activates autophagy through inhibiting mTOR signaling as well as by direct phosphorylation of Atg1 (Egan et al., 2011; Kim et al., 2011). Increased mTOR activity results in autophagy downregulation and tau accumulation. PubMed:23528736
For instance, adenosine monophosphate- activated protein kinase (AMPK) phosphorylates ULK1 and inactivates mTOR through the raptor and tuberous sclerosis complex (TSC2). PubMed:29758300
Similar to pimozide, clozapine activates the autophagy process via the AMPK–ULK1–Beclin1 pathway, as evidenced by increased levels of autophagy markers (i.e., LC3-II and Atg5–Atg12 conjugate); increased phosphorylation of AMPK and its downstream substrates, namely ULK1 and beclin1; and an increased number of autophagosomes in the frontal cortex in clozapine-treated rats PubMed:30061532
In particular, pimozide provides an mTOR-independent autophagy induction, because it directly activates AMPK1, which in turn promotes autophagy through the phosphorylation of ULK1 PubMed:30061532
In particular, pimozide provides an mTOR-independent autophagy induction, because it directly activates AMPK1, which in turn promotes autophagy through the phosphorylation of ULK1 PubMed:30061532
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If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.