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KANPHOS: A Database of Kinase-Associated Neural Protein Phosphorylation in the Brain

Authors :
Rijwan Uddin Ahammad
Tomoki Nishioka
Junichiro Yoshimoto
Takayuki Kannon
Mutsuki Amano
Yasuhiro Funahashi
Daisuke Tsuboi
Md. Omar Faruk
Yukie Yamahashi
Kiyofumi Yamada
Taku Nagai
Kozo Kaibuchi
Source :
Cells, Vol 11, Iss 1, p 47 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Protein phosphorylation plays critical roles in a variety of intracellular signaling pathways and physiological functions that are controlled by neurotransmitters and neuromodulators in the brain. Dysregulation of these signaling pathways has been implicated in neurodevelopmental disorders, including autism spectrum disorder, attention deficit hyperactivity disorder and schizophrenia. While recent advances in mass spectrometry-based proteomics have allowed us to identify approximately 280,000 phosphorylation sites, it remains largely unknown which sites are phosphorylated by which kinases. To overcome this issue, previously, we developed methods for comprehensive screening of the target substrates of given kinases, such as PKA and Rho-kinase, upon stimulation by extracellular signals and identified many candidate substrates for specific kinases and their phosphorylation sites. Here, we developed a novel online database to provide information about the phosphorylation signals identified by our methods, as well as those previously reported in the literature. The “KANPHOS” (Kinase-Associated Neural Phospho-Signaling) database and its web portal were built based on a next-generation XooNIps neuroinformatics tool. To explore the functionality of the KANPHOS database, we obtained phosphoproteomics data for adenosine-A2A-receptor signaling and its downstream MAPK-mediated signaling in the striatum/nucleus accumbens, registered them in KANPHOS, and analyzed the related pathways.

Details

Language :
English
ISSN :
20734409
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Cells
Publication Type :
Academic Journal
Accession number :
edsdoj.665e07ff34fe4f8993088c7675ccf2ee
Document Type :
article
Full Text :
https://doi.org/10.3390/cells11010047