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.
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.
Condition | Aging, Epilepsy, Senility, epilepsia, Brain Injury, epileptics, seizure disorder, Seizure Disorders (Pediatric), epileptic, Seizure Disorders |
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Treatment | brain tissue single-cell sequencing |
Clinical Study Identifier | NCT04926987 |
Sponsor | Second Affiliated Hospital, School of Medicine, Zhejiang University |
Last Modified on | 21 June 2021 |
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