PubMed 29024336

Tau-A152T displayed very similar degradation dynamics, although this mutation slightly reduced tau’s rates of lysosomal degradation (20% inhibition) when compared with WT tau (Fig. 1a,b).

BEL
bp(GO:"chaperone-mediated autophagy") increases deg(p(MGI:Mapt, var("p.Ala152Thr")))
Hash
7582058d07
CellStructure
Lysosomes
Confidence
High
MeSHAnatomy
Brain
Networks

PubMed 29024336

Blockage of CMA in cells expressing tau-A152T also resulted in significant accumulation of this variant and ablated its lysosomal degradation, suggesting preferential degradation of A152T by CMA (Fig. 1a,b)

BEL
bp(GO:"chaperone-mediated autophagy") increases deg(p(MGI:Mapt, var("p.Ala152Thr")))
Hash
1856ee1af2
CellStructure
Lysosomes
Confidence
High
MeSHAnatomy
Brain
Networks

PubMed 29024336

In the case of tau-A152T, the dynamics of internalization/degradation through CMA were comparable to WT tau (Fig. 1c,d), in agreement with our studies in intact cells in culture (Fig. 1a, b), but we found a significantly higher amount of tau-A152T bound to the membrane of CMA-active lysosomes (Fig. 1c,d)

BEL
bp(GO:"chaperone-mediated autophagy") increases deg(p(MGI:Mapt, var("p.Ala152Thr")))
Hash
a5d1374184
CellStructure
Lysosomes
Confidence
Medium
MeSHAnatomy
Brain
Networks

PubMed 29024336

We did however find that under serum deprivation conditions, tau-A152T-expressing cells displayed significantly higher CMA (Fig. 3d,e; 30% increase) than control cells

BEL
p(MGI:Mapt, var("p.Ala152Thr")) increases bp(GO:"chaperone-mediated autophagy")
Hash
20bebde86c
CellStructure
Intracellular Space
Confidence
High
MeSHAnatomy
Brain
Networks

About

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

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.