相关实验视频

Updated: Jun 23, 2025

Development of Recombinant Proteins to Treat Chronic Pain

Development of Recombinant Proteins to Treat Chronic Pain

Published on: April 11, 2018

鉴定慢性疼痛的新型蛋白质:人类大脑蛋白质组和全基因组关联数据的整合

Haoquan Huang¹, Fengtao Ji², Chuwen Hu²

¹Department of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China; Medical Research Center of Shenshan Medical Center, Sun Yat-Sen Memorial Hospital, Shanwei, China.

The journal of pain

|June 23, 2024

概括

这项研究确定了18个关键基因,通过影响大脑蛋白质水平来调节慢性疼痛风险. 这些发现为慢性疼痛提供了新的治疗点,并突出了背部根结核的作用.

科学领域:

神经科学是一个神经科学.
遗传学是一个遗传学.
蛋白质组学是指蛋白质组学.

背景情况:

全基因组关联研究 (GWAS) 已经确定了慢性疼痛风险基因,但潜在的机制仍然不清楚.
了解遗传变异如何影响慢性疼痛的易感性,对于开发有效的治疗方法至关重要.

研究的目的:

通过调节大脑中的蛋白质表达来确定调节慢性疼痛风险的关键基因.
研究这些基因在不同细胞类型和大脑区域中的作用,包括背部根腺 (DRG).

主要方法:

综合大规模的全基因组关联研究数据与大脑蛋白质组数据,使用全蛋白质组关联研究 (PWAS).
采用了基于总结数据的门德尔随机化和贝叶斯同位分析来确定因果基因.
利用全转录组关联研究,单细胞RNA测序和单核转录组数据来检查基因表达模式.

主要成果:

确定了18个慢性疼痛的高可信度因果基因,主要通过对大脑蛋白质丰度的cis效应来调节.
其中七个基因在确认性蛋白质基因数据集中复制,其中包括瓜诺辛二酸-曼诺斯二酸酸酶B.
因果基因在脊侧前额皮层和DRG中的神经元,寡细胞和星球细胞中显示了细胞类型特定的表达.

结论:

这种综合性蛋白质基因学方法成功地确定了慢性疼痛的因果基因,提供了新的治疗点.
在DRG中识别的基因表达表明这种结构在慢性疼痛中可能有助于发挥作用.
这些发现为未来针对性慢性疼痛治疗的研究铺平了道路.

关键词:

慢性疼痛是一种慢性疼痛.整个蛋白质组的关联研究研究.蛋白质组是蛋白质组的组成部分.转录组广泛的关联研究研究.

更多相关视频

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

相关概念视频

Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

Proteomics

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...