Unraveling the Molecular Landscape of SCN1A Gene Knockout in Cerebral Organoids: A Multiomics Approach Utilizing Proteomics, Lipidomics, and Transcriptomics

This study investigates the impact of sodium channel protein type 1 subunit alpha (SCN1A) gene knockout (SCN1A KO) on brain development and function using cerebral organoids coupled with a multiomics approach. From comprehensive omics analyses, we found that SCN1A KO organoids exhibit decreased growth, dysregulated neurotransmitter levels, and altered lipidomic, proteomic, and transcriptomic profiles compared to controls under matrix-free differentiation conditions. Neurochemical analysis reveals reduced levels of key neurotransmitters, and lipidomic analysis highlights changes in ether phospholipids and sphingomyelin. Furthermore, quantitative profiling of the SCN1A KO organoid proteome shows perturbations in cholesterol metabolism and sodium ion transportation, potentially affecting synaptic transmission. These findings suggest dysregulation of cholesterol metabolism and sodium ion transport, with implications for synaptic transmission. Overall, these insights shed light on the molecular mechanisms underlying SCN1A-associated disorders, such as Dravet syndrome, and offer potential avenues for therapeutic intervention.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2024-09-13
DOI
https://doi.org/10.1021/acsomega.4c05039
Citations
1
Primary Topic
Cellular transport and secretion
Type
article
Field-Weighted Citation Impact
0.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unraveling the Molecular Landscape of SCN1A Gene Knockout in Cerebral Organoids: A Multiomics Approach Utilizing Proteomics, Lipidomics, and Transcriptomics

Seong Soon Kim, Byumseok Koh, Sung Bum Park, Sung‐Hee Cho et al.
1 citations
ACS Omega
Cellular transport and secretion
0.33
article

Unraveling the Molecular Landscape of SCN1A Gene Knockout in Cerebral Organoids: A Multiomics Approach Utilizing Proteomics, Lipidomics, and Transcriptomics

Seong Soon Kim, Byumseok Koh, Sung Bum Park, Sung‐Hee Cho, Dong Hyuck Bae, Myung Ae Bae, Jangjae Lee, Tae‐Young Kim, Young Eun Kim, Kyung Jin Lee, Jeong Hyeon Jo, Ki Young Kim, Dukjin Kang
article en
1 citations

Abstract

This study investigates the impact of sodium channel protein type 1 subunit alpha (SCN1A) gene knockout (SCN1A KO) on brain development and function using cerebral organoids coupled with a multiomics approach. From comprehensive omics analyses, we found that SCN1A KO organoids exhibit decreased growth, dysregulated neurotransmitter levels, and altered lipidomic, proteomic, and transcriptomic profiles compared to controls under matrix-free differentiation conditions. Neurochemical analysis reveals reduced levels of key neurotransmitters, and lipidomic analysis highlights changes in ether phospholipids and sphingomyelin. Furthermore, quantitative profiling of the SCN1A KO organoid proteome shows perturbations in cholesterol metabolism and sodium ion transportation, potentially affecting synaptic transmission. These findings suggest dysregulation of cholesterol metabolism and sodium ion transport, with implications for synaptic transmission. Overall, these insights shed light on the molecular mechanisms underlying SCN1A-associated disorders, such as Dravet syndrome, and offer potential avenues for therapeutic intervention.

ACS OmegaVol. 9(38)
Chungnam National University (KR), Korea University (KR), Korea Research Institute of Standards and Science (KR), Gwangju Institute of Science and Technology (KR), CHA University (KR), Korea Research Institute of Chemical Technology (KR)
Chungnam National University, Gwangju Institute of Science and Technology, Korea University, Ministry of Trade, Industry and Energy, Korea Research Institute of Chemical Technology, Korea Research Institute of Standards and Science, CHA University, Ministry of Science and ICT, South Korea
Zero hunger
Openalex Percentile: Top 41%
Cellular transport and secretion
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.