Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

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

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
Pages
14
Indexed
SCIE
SCOPUS
Journal Title
Brain
Volume
146
Number
4
Start Page
1267
End Page
1280
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/112615
DOI
10.1093/brain/awac451
ISSN
0006-8950
1460-2156
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.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF PHARMACY > DEPARTMENT OF PHARMACY > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Joo, Jae Yeol photo

Joo, Jae Yeol
COLLEGE OF PHARMACY (DEPARTMENT OF PHARMACY)
Read more

Altmetrics

Total Views & Downloads

BROWSE