GenomicsBioinformaticsPeer-reviewed journal article
Systems-level analysis identifies key regulators driving epileptogenesis in temporal lobe epilepsy
Yingxue FuiD, Ziyin WuiD, Zihu GuoiD, Liyang CheniD, Yaohua MaiD, Zhenzhong WangiD, Wei XiaoiD, Yonghua WangiD
Abstract
Temporal lobe epilepsy (TLE) is the most prevalent and often devastating form of epilepsy. The molecular mechanism underlying the development of TLE remains largely unknown, which hinders the discovery of effective anti-epileptogenic drugs. In this study, we built a systems-level analytic framework which integrates gene meta-signatures, gene coexpression network and cellular regulatory network to unveil the evolution landscape of epileptogenic process and to identify key regulators that govern the transition between different epileptogenesis stages. The time-specific hippocampal transcriptomic profiles from five independent rodent TLE models were grouped into acute, latent and chronic stages of epileptogenesis, and were utilized for generating stage-specific gene expression signatures. 13 cell-type specific functional modules were identified from the epilepsy-context coexpression network, and five of them were significantly associated with the entire epileptogenic process. By inferring the differential protein activity of gene regulators in each stage, 265 key regulators underlying epileptogenesis were obtained. Among them, 122 regulators were demonstrated being associated with high seizure frequency and/or hippocampal sclerosis in human TLE patients. Importantly, we discovered four new gene regulators (ANXA5, FAM107A, SEPT2 and SPARC) whose upregulation may drive the process of epileptogenesis and further lead to chronic recurrent seizures or hippocampal sclerosis. Our findings provide a landscape of the gene network dynamics underlying epileptogenesis and uncovered candidate regulators that may serve as potential targets for future anti-epileptogenic therapy development.
- organism: mouse
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- Citations
- 21
- FWCI
- 3.58
- Field percentile
- top 7%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Progressive bilateral recruitment and resilient network reorganization during temporal lobe epilepsy
Fabien Friscourt, Maelle Hernot, … Charles Quairiaux·bioRxiv·Jan 29, 2026
- Transcriptome profiling implicates a role for Wnt signaling during epileptogenesis in a mouse model of temporal lobe epilepsy
Muriel D. Mardones, Kunal Gupta·bioRxiv·Jul 22, 2022
- Wnt activation prevents epileptogenic hippocampal remodeling in animal models of unilateral and bilateral temporal lobe epilepsy
Cora Helton, Nicole Rodgers, Kunal Gupta·bioRxiv·May 10, 2026
- A systems approach delivers a functional microRNA catalog and expanded targets for seizure suppression in temporal lobe epilepsy
Morten Trillingsgaard Venø, Cristina Ruedell Reschke, … David Clifford Henshall·bioRxiv·Sep 24, 2019
- Dysregulation of the SARA-Smurf2 Regulatory Axis in Temporal Lobe Epilepsy
Estefania Clavenzani, Juan Manuel Bourbotte Asensio, … Cecilia Conde·bioRxiv·Aug 19, 2026
- Exploring Cerebellar Hippocampal Dynamics in Temporal Lobe Epilepsy: A Multivariable Synthetic Modeling Study of Purkinje Cell Degeneration and Stimulation Timing
Mohamed F. Ibrahim, Bin Hu·bioRxiv·Aug 13, 2025