GEO series
High-Resolution Molecular Profiling of Epileptic Brain Activity via Explanted Depth Electrodes [RNA-seq]
GSE268714
Homo sapiens
Expression profiling by high throughput sequencing
19 samples
2025/01/15
GPL24676
Summary
Understanding neurological disorders necessitates systems-level approaches that integrate multimodal data, but progress has been hindered by limited sample availability, and the absence of combined electrophysiological and molecular data from live patients. Here, we demonstrate that stereo electroencephalography (sEEG)—stereologically-implanted electrodes routinely used for monitoring epilepsy—enables the integration of RNA sequencing and epigenome maps with in vivo recordings and brain imaging. Here we report a method MoPEDE (Molecular Profiling of Epileptic Brain Activity via Explanted Depth Electrodes) that enables this by recovering extensive protein-coding transcripts and DNA methylation profiles from explanted depth electrodes containing matched electrophysical and radiological data, hence allowing for high-resolution reconstructions of brain structure and function in patients. Our proof-of-concept study shows that epilepsies of different etiologies have distinct molecular landscapes and identifies transcripts correlating with neurophysiological signals, including immediate early genes, inflammation markers, and axon guidance molecules. Additionally, we identify DNA methylation profiles indicative of transcriptionally permissive or restrictive chromatin states. While gene expression gradients corresponded with the assigned epileptogenicity index, we found outlier molecular fingerprints in some electrodes, potentially indicating seizure spread or generation zones not detected during clinical assessments. These findings validate that RNA profiles and genome-wide epigenetic data from explanted sEEGs offer high-resolution surrogate molecular landscapes of brain activity. This revolutionary approach has the potential to enhance diagnostic decisions and deepen our understanding of epileptogenic processes.
Download
NCBI GEO page ↗
Paper (PMID 39541170) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE199939 Comprehensive transcriptomic analysis of immune-related genes in diabetic foot ulcers: New insights into mechanisms and therapeutic targets 21 samples
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.