Epilepsy is mainly characterized by spontaneous seizures caused by hyperactive neural circuits. To delineate the cell-type-specific mechanisms underlying neuronal hyperexcitability, we resolve the hyperexcitability of excitatory neurons across epileptic human brain trans-foci at single-cell resolution to identify the key drivers and potential diagnostic signatures. We constructed a comprehensive atlas encompassing 240,000 cells derived from the temporal cortex and hippocampus, detecting trans-regional cellular and molecular diversity. We further delineated dynamic trajectories, gene expression patterns, and functional reorganization across cell types. Using the LASSO and random forest algorithms, we prioritized the core genes and developed a logistic regression-based diagnostic model. Despite transregional cellular landscape conservation, major cell types varied in abundance. Detailed analysis delineated various excitatory neuron subtypes’ dynamic trajectories, intricate expression, and functional reorganization, with pronounced dysfunction in the posterior hippocampal and temporal cortex networks, indicating hyperactive pro-epileptic effects. Excitatory neurons exhibit an intrinsic ability to autonomously organize themselves into distinct, highly active modules, characterized by a high activation state during epileptogenesis, as illustrated by ten epilepsy-associated functions. Transcription circuits FOSL2/FOS/EGR3/EGR1 promote neuronal hyperexcitability. Integrating epilepsy bulk RNA-seq data, we identified 24 overlapping genes between differential genes and circuit targets. The LASSO and random forest algorithms prioritized three core genes (IL1B, SOCS6, and COL4A1). A logistic regression model based on these three genes showed variable performance, with an apparent AUC of 1.000 in the discovery cohort (GSE256068) and AUCs of 0.974 and 0.722 in and two validation cohorts, indicating the need for further validation. Our study establishes the FOSL2/FOS/EGR3/EGR1 circuit as a master regulator of pathological neuronal hyperactivity across epileptic foci, linking transcriptional activation to network dysfunction. Identifying overactive factors may represent a candidate molecular pathway for future therapeutic exploration against hyperexcitability.

Although single-cell analyses have advanced our understanding of pancreatic ductal adenocarcinoma (PDAC), most studies to date have focused on primary and metastatic tumors. Here, we map cell composition, phenotypic plasticity, and microenvironmental remodeling from human normal pancreas through preneoplastic lesions to PDAC, with the preneoplastic phase recognized as a critical window for carcinogenesis. We pinpoint genes that are persistently dysregulated throughout malignant transformation and are associated with a poor prognosis. Focusing on ductal and acinar cells as the principal origins of PDAC, we delineate malignant preneoplastic cell clusters that exhibit strong carcinogenic potential. Immune profiling reveals marked expansion and functional reprogramming of macrophages during disease progression. Integrative analysis with human PDAC bulk transcriptomic cohorts identifies candidate compounds, such as Brefeldin A, with potential for intervention in preneoplastic disease. Together, our study elucidates dynamic molecular and cellular mechanisms underlying PDAC carcinogenesis and provides actionable insights for early intervention and targeted therapy.