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Appears in Networks 1

Tau Modifications v1.9.5

Tau Modifications Sections of NESTOR

In-Edges 2

p(HGNC:MAPT) association p(HGNC:MAPT, pmod(Me, Lys, 163)) View Subject | View Object

However, robust monomethylation was identified at seven sites distributed throughout the tau sequence (Table 1). Three of the sites (K163, K174, and K180) reside within the proline-rich region of the tau N-terminal projection domain, which mediates interactions with microtubule-associated proteins such as actin [27] and the Src homology three domain of plasma membrane-associated proteins including Src family kinases [37] and phospholipase Cc [54]. In contrast, K254, K267, and K290 are part of the first and second repeats of the microtubule binding domain. Although no Lys acetylation was detected at these sites in our datasets, it was possible to quantify relative methylation and ubiquitylation of K254. PubMed:22033876

Appears in Networks:
Annotations
Uberon
hippocampal formation
Disease Ontology (DO)
Alzheimer's disease

Out-Edges 2

p(HGNC:MAPT, pmod(Me, Lys, 163)) association p(HGNC:MAPT) View Subject | View Object

However, robust monomethylation was identified at seven sites distributed throughout the tau sequence (Table 1). Three of the sites (K163, K174, and K180) reside within the proline-rich region of the tau N-terminal projection domain, which mediates interactions with microtubule-associated proteins such as actin [27] and the Src homology three domain of plasma membrane-associated proteins including Src family kinases [37] and phospholipase Cc [54]. In contrast, K254, K267, and K290 are part of the first and second repeats of the microtubule binding domain. Although no Lys acetylation was detected at these sites in our datasets, it was possible to quantify relative methylation and ubiquitylation of K254. PubMed:22033876

Appears in Networks:
Annotations
Uberon
hippocampal formation
Disease Ontology (DO)
Alzheimer's disease

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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.