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Cryptic mutations of PLC family members in brain disorders: recent discoveries and a deep-learning-based approach

Authors
Lim, Key-HwanYang, SuminKim, Sung-HyunKo, EuiseongKang, MingonJoo, Jae-Yeol
Issue Date
Apr-2023
Publisher
Oxford University Press
Keywords
brain disorders; deep learning; genetic variation; high-throughput analysis; PLCs
Citation
Brain, v.146, no.4, pp.1267 - 1280
Journal Title
Brain
Volume
146
Number
4
Start Page
1267
End Page
1280
URI
http://scholarworks.bwise.kr/kbri/handle/2023.sw.kbri/177
DOI
10.1093/brain/awac451
ISSN
0006-8950
Abstract
Lim et al. review the mechanisms underlying phospholipase C regulation of the phosphoinositide signalling pathway and the genetic variation of phospholipase C in brain disorders. They discuss the potential for analyses based on deep learning to identify phospholipase C mutations in brain disorders. Phospholipase C (PLC) is an essential isozyme involved in the phosphoinositide signalling pathway, which maintains cellular homeostasis. Gain- and loss-of-function mutations in PLC affect enzymatic activity and are therefore associated with several disorders. Alternative splicing variants of PLC can interfere with complex signalling networks associated with oncogenic transformation and other diseases, including brain disorders. Cells and tissues with various mutations in PLC contribute different phosphoinositide signalling pathways and disease progression, however, identifying cryptic mutations in PLC remains challenging. Herein, we review both the mechanisms underlying PLC regulation of the phosphoinositide signalling pathway and the genetic variation of PLC in several brain disorders. In addition, we discuss the present challenges associated with the potential of deep-learning-based analysis for the identification of PLC mutations in brain disorders.
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연구본부 > 퇴행성 뇌질환 연구그룹 > 1. Journal Articles

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