Multi-omics integration and epilepsy: Towards a better understanding of biological mechanisms

被引:15
|
作者
Chong, Debbie [1 ]
Jones, Nigel C. [1 ,2 ,3 ]
Schittenhelm, Ralf B. [4 ]
Anderson, Alison [1 ,2 ,3 ]
Casillas-Espinosa, Pablo M. [1 ,2 ,3 ,5 ]
机构
[1] Monash Univ, Cent Clin Sch, Dept Neurosci, Melbourne, Vic 3004, Australia
[2] Univ Melbourne, Royal Melbourne Hosp, Dept Med, Parkville, Vic 3000, Australia
[3] Alfred Hlth, Dept Neurol, Melbourne, Vic 3004, Australia
[4] Monash Univ, Monash Prote & Metabol Facil & Monash Biomed Disco, Clayton, Vic 3800, Australia
[5] Monash Univ, Dept Neurosci, Off 6-418,99 Commercial Rd, Melbourne, Vic 3004, Australia
基金
澳大利亚国家健康与医学研究理事会;
关键词
Network medicine; Multi-omics; Transcriptomics; Proteomics; Metabolomics; Temporal lobe epilepsy; DIFFERENTIALLY EXPRESSED PROTEINS; SYSTEMS-LEVEL ANALYSIS; MESIAL TEMPORAL-LOBE; PROTEOMIC ANALYSIS; RAT MODEL; ANTIEPILEPTIC DRUGS; CEREBROSPINAL-FLUID; REFRACTORY EPILEPSY; HIPPOCAMPUS; BRAIN;
D O I
10.1016/j.pneurobio.2023.102480
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The epilepsies are a group of complex neurological disorders characterised by recurrent seizures. Approximately 30% of patients fail to respond to anti-seizure medications, despite the recent introduction of many new drugs. The molecular processes underlying epilepsy development are not well understood and this knowledge gap impedes efforts to identify effective targets and develop novel therapies against epilepsy. Omics studies allow a comprehensive characterisation of a class of molecules. Omics-based biomarkers have led to clinically validated diagnostic and prognostic tests for personalised oncology, and more recently for non-cancer diseases. We believe that, in epilepsy, the full potential of multi-omics research is yet to be realised and we envisage that this review will serve as a guide to researchers planning to undertake omics-based mechanistic studies.
引用
收藏
页数:32
相关论文
共 50 条
  • [1] Proteomics Is Not an Island: Multi-omics Integration Is the Key to Understanding Biological Systems
    Zhang, Bing
    Kuster, Bernhard
    MOLECULAR & CELLULAR PROTEOMICS, 2019, 18 (08) : S1 - S4
  • [2] Towards multi-omics synthetic data integration
    Selvarajoo, Kumar
    Maurer-Stroh, Sebastian
    BRIEFINGS IN BIOINFORMATICS, 2024, 25 (03)
  • [3] Multi-omics Data Integration for Identifying Osteoporosis Biomarkers and Their Biological Interaction and Causal Mechanisms
    Qiu, Chuan
    Yu, Fangtang
    Su, Kuanjui
    Zhao, Qi
    Zhang, Lan
    Xu, Chao
    Hu, Wenxing
    Wang, Zun
    Zhao, Lanjuan
    Tian, Qing
    Wang, Yuping
    Deng, Hongwen
    Shen, Hui
    ISCIENCE, 2020, 23 (02)
  • [4] Survey on Multi-omics, and Multi-omics Data Analysis, Integration and Application
    Shahrajabian, Mohamad Hesam
    Sun, Wenli
    CURRENT PHARMACEUTICAL ANALYSIS, 2023, 19 (04) : 267 - 281
  • [5] Omics and Multi-Omics in IBD: No Integration, No Breakthroughs
    Fiocchi, Claudio
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (19)
  • [6] Systems biology tools for integrated omics analysis: Understanding disease mechanisms through multi-omics data integration pathway analysis
    Hughes, Mark
    Genetic Engineering and Biotechnology News, 2015, 35 (03): : 18 - 19
  • [7] Understanding the Role of MicroRNAs in Congenital Tooth Agenesis: A Multi-omics Integration
    Ranjan, Prashant
    Devi, Chandra
    Verma, Neha
    Bansal, Rajesh
    Srivastava, Vinay Kumar
    Das, Parimal
    BIOCHEMICAL GENETICS, 2025,
  • [8] Multi-omics data integration: key to thoroughly understanding the immune system
    Jimenez, Cristina
    Hernandez-Sanchez, Maria
    van Dongen, Jacques J. M.
    Diez, Paula
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2023, 11
  • [9] MODIMO: Workshop on Multi-Omics Data Integration for Modelling Biological Systems
    Avesani, Simone
    Bonnici, Vincenzo
    Pernice, Simone
    Beccuti, Marco
    Giugno, Rosalba
    PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023, 2023, : 5259 - 5262
  • [10] MODIMO: Workshop on Multi-Omics Data Integration for Modelling Biological Systems
    Beccuti, Marco
    Bonnici, Vincenzo
    Giugno, Rosalba
    PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021, 2021, : 4870 - 4871