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Updated: Dec 5, 2025
TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis
Published on: June 8, 2020
TMT-Based Proteomic Analysis of Plasma from Children with Rolandic Epilepsy
Ji Sun1, Tiechao Jiang2, Feng Gu3
1Department of Pediatric Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, China.
Insights
This study identified key proteins in childhood Rolandic epilepsy using TMT-based proteomics. Findings suggest immune responses and altered metabolism are involved in epilepsy development.
Area of Science:
- Proteomics
- Bioinformatics
- Epilepsy Research
Background:
- Rolandic epilepsy is a common childhood epilepsy syndrome.
- Understanding its molecular pathogenesis is crucial for developing targeted therapies.
Purpose of the Study:
- To identify differentially expressed proteins in plasma of children with Rolandic epilepsy.
- To provide a molecular basis for exploring epilepsy pathogenesis.
- To identify potential hub genes associated with Rolandic epilepsy.
Main Methods:
- Tandem Mass Tag (TMT)-based proteomics was employed for quantitative protein analysis.
- Liquid chromatography-mass spectrometry was used for protein identification and quantification.
- Bioinformatics analysis was utilized to identify differentially expressed proteins and hub genes.
Main Results:
- A total of 752 proteins were identified, with 670 quantified.
- 217 differentially expressed proteins were detected between Rolandic epilepsy patients and migraine controls.
- Key pathways implicated include acute-phase/innate immune response, complement and fibrinogen systems, glycolysis, lipoprotein metabolism, and antioxidant activity.
Conclusions:
- Specific differentially expressed proteins are associated with Rolandic epilepsy.
- Activation of immune responses and repression of metabolic pathways may contribute to epilepsy development.
- This proteomic approach offers insights into the molecular mechanisms of epilepsy.
Abstract:
Rolandic epilepsy is one of the most common epileptic syndromes in childhood. We used TMT-based proteomics and bioinformatics analysis to identify the differentially expressed proteins in plasma of children with Rolandic epilepsy. Our aim was to provide a molecular basis for exploring possible mechanisms underlying the pathogenesis of epilepsy. Subjects were divided into two groups (five in each): patients with Rolandic epilepsy as cases and patients with migraine as controls. Total proteins were extracted and quantitatively labeled with TMT, then analyzed using liquid chromatography mass spectrometry. Bioinformatics analysis was used to identify the hub genes. A total of 752 proteins were identified, of which 670 contained quantitative proteins. 217 differentially expressed proteins were identified, 46 of which were only upregulated in more than two groups and 111 of which were only downregulated in more than two groups. Bioinformatics analysis revealed top 10 hub genes in the up- and downregulated groups, respectively. Our study demonstrates that some differentially expressed proteins are associated with epilepsy. Activation of acute-phase or innate immune response and complement and fibrinogen systems and repression of glycolysis, lipoprotein metabolism, and antioxidant activity may play a role in the development of epilepsy.
