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Field | Value |
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Namespace | Biological process |
Short description | Positive regulation of supramolecular fiber organization |
Full defintion | Any process that activates or increases the frequency, rate or extent of supramolecular fiber organization. |
Subterm of |
The relationship of GO:1902905 with other GO terms.
Relationship type | GO terms |
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Is a | |
Regulates | n.a. |
Part of | n.a. |
Positively regulates | |
Negatively regulates | n.a. |
A force layout showing the ancestor tree for GO:1902905, and its immediate children. If you wish to explore the tree dynamically, please use the GO Explorer.
This table contains additional metadata associated with the GO entry's definition field.
Field | Value |
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GOC | TermGenie |
GO_REF | 0000058 |
PMID | Identification and characterization of a novel human methyltransferase modulating Hsp70 protein function through lysine methylation. J Biol Chem. 2013 Sep 27; 288 (39): 27752–63.PMID: 23921388 Hsp70 proteins constitute an evolutionarily conserved protein family of ATP-dependent molecular chaperones involved in a wide range of biological processes. Mammalian Hsp70 proteins are subject to various post-translational modifications, including methylation, but for most of these, a functional role has not been attributed. In this study, we identified the methyltransferase METTL21A as the enzyme responsible for trimethylation of a conserved lysine residue found in several human Hsp70 (HSPA) proteins. This enzyme, denoted by us as HSPA lysine (K) methyltransferase (HSPA-KMT), was found to catalyze trimethylation of various Hsp70 family members both in vitro and in vivo, and the reaction was stimulated by ATP. Furthermore, we show that HSPA-KMT exclusively methylates 70-kDa proteins in mammalian protein extracts, demonstrating that it is a highly specific enzyme. Finally, we show that trimethylation of HSPA8 (Hsc70) has functional consequences, as it alters the affinity of the chaperone for both the monomeric and fibrillar forms of the Parkinson disease-associated protein α-synuclein. |
GO predictions are based solely on the InterPro-to-GO mappings published by EMBL-EBI, which are in turn based on the mapping of predicted domains to the InterPro dataset. The InterPro-to-GO mapping was last updated on , while the GO metadata was last updated on .