Skip to content

Integrative single-cell and spatial transcriptomics combined with machine learning to discover complement-associated biomarkers in temporal lobe epilepsy with hippocampal sclerosis

Jul 2026 · Functional & Integrative Genomics · Vol 26 · 0 citations · 46 references
Medicine

TL;DR

This study systematically characterized the complement system in TLE-HS by integrating multi-level omics data, including bulk RNA sequencing, single-cell sequencing, and spatial transcriptomics, and revealed the potential value of complement system gene signatures in clinical diagnosis and personalized treatment of epilepsy.

View source

Similar papers

Open access Oct 2026

Spatial and single-nucleus transcriptomics reveals the molecular pathology of type 2 diabetes-associated cognitive dysfunction.

The mechanisms underlying type 2 diabetes-associated cognitive dysfunction (DACD) remain poorly understood, hindering therapeutic progress. Here, we integrated spatial transcriptomics and single-nucleus RNA sequencing to delineate the spatiotemporal molecular and cellular landscape of DACD in brain tissues from 3- and...

Wei Wu, Yu-Meng Yang, Xi-Xi Zhang et al. · 0 citations
Open access Oct 2026

Single-cell and spatial multi-omics combined with machine learning to unravel the heterogeneity of cholangiocarcinoma and the WFDC3-mediated prognostic regulatory mechanisms

Intrahepatic cholangiocarcinoma (ICC) exhibits substantial cellular heterogeneity and a complex tumor microenvironment (TME), contributing to poor clinical outcomes. Effective prognostic biomarkers and a deeper understanding of the cellular ecosystems associated with high-risk disease remain urgently needed....

Zhen-Chen Zhu, Tao Jiang, Qiu-Hua Liu et al. · 0 citations
Open access Oct 2026

Reduced Gene Module for Spatial Transcriptomics Recapitulates Single-Cell Molecular Classifications of Glioblastoma.

Glioblastoma, IDH-wildtype, is the most common and malignant adult-type diffuse glioma. It is characterized by extensive heterogeneity and poor prognosis. Recent single-cell RNA-sequencing studies have revealed distinct transcriptional programs that define cellular states such as astrocyte-like, mesenchymal-like, neura...

Koki Ise, Zen-ichi Tanei, Takeru Kuwabara et al. · 0 citations
Open access Sep 2026

An Integrated Single-Nucleus Atlas Resolves Cell-Type-Specific Programs and Molecular Subtypes in Alzheimer’s Disease

Interindividual heterogeneity in Alzheimer’s disease (AD) remains poorly understood, as disparate single-cell studies leave it unclear whether findings reflect shared architecture or dataset-specific idiosyncrasies. Here, we present panAD, a transcriptomic atlas of >3 million nuclei from 791 individuals across 13 studi...

Negin Rahimzadeh, S. Morabito, S. Khullar et al. · 0 citations
Oct 2026

A comprehensive single-cell transcriptomic atlas of hippocampal microglia in a mouse model of traumatic brain injury.

BACKGROUND Traumatic brain injury (TBI) triggers microglial activation and disrupts the inflammatory microenvironment in the hippocampus, which are key contributors to neuroinflammation and subsequent secondary brain damage. Nevertheless, the cellular heterogeneity of microglia, their pro-inflammatory activation mechan...

Wen-Bin Dong, Yi-Nuo Jia, Rui-Lin Wang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.