Aging, Epilepsy, Trauma, Brain
Conditions
Keywords
Single-Cell Analysis, aging, epilepsy, trauma brain
Brief summary
In this study, the single-cell transcriptome sequencing technology was used to study the transcriptome differences at the single-cell level in normal human brain, aging human brain, and epileptic brain.
Detailed description
The human brain has about 100 billion cells and makes up neural networks.The abnormal activity of neurons can affect the operation of neural networks, leading to neurological diseases.With the coming of the age of global population aging, neurodegenerative diseases such as Alzheimer's, Parkinson's and Huntington's have become an increasing burden on human health. Cells are the basic unit of brain. Understanding the mechanism of brain activities includes not only the mechanism of neural network, but also the self-regulation of its basic unit, that is, the regulation of gene expression based on brain activity.The abnormal expression and regulation of genes lead to the abnormal activities of the nervous system.Therefore, studying the regulation mechanism of gene expression at the cellular level is an important way to research brain diseases.The recent development of single-cell RNA-sequencing technology provides a possibility to understand the functioning mechanism of the brain at the cellular level.
Interventions
Using single-cell sequencing to study the brain tissue single-cell transcriptome difference in aging, epilepsy, and mental disorders
Sponsors
Study design
Eligibility
Inclusion criteria
* Craniocerebral injury patients needing operative treatment * Treatment-resistant epilepsy patients needing resection surgery
Exclusion criteria
* Vital signs unstable * Pregnancy * Tumor * Incomplete medical history, imaging and clinical diagnosis
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| single-cell RNA sequencing | 1 Day of surgery | single-cell RNA sequencing resultes of brain sample |
Countries
China