整合多原子层来解码精神疾病机制
Lyra Sheu1, Kiran Girdhar1, Panos Roussos2
1Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
精神疾病是多基因的,大多数风险变异都存在于非编码基因组中. 新的多原子技术将遗传风险与基因调节,细胞脆弱性和电路功能障碍联系起来.
科学领域:
- 神经科学是一个神经科学.
- 遗传学 是一个遗传学.
- 计算生物学 计算生物学
背景情况:
- 精神疾病如精神分裂症,双相情感障碍和严重抑郁症是复杂的和多基因的.
- 大多数遗传风险变体都位于非编码基因组中,使得它们的功能影响难以破译.
研究的目的:
- 审查最近在多原子技术和计算框架上的进展,以了解精神疾病的遗传结构.
- 要突出这些方法如何将遗传变异与基因调节,细胞类型脆弱性和神经电路功能障碍联系起来.
主要方法:
- 单细胞转录组学 单细胞转录组学
- 表观基因组学是指表观基因组学.
- 蛋白质组学是指蛋白质组学.
- 空间配置文件的形成
- 监管要素的功能剖析.
- 计算的因果推理框架.
主要成果:
- 对多原子数据的综合分析揭示了基因变异与精神疾病背后的分子/细胞机制之间的联系.
- 功能性基因组学和计算方法的进步使得从遗传关联研究中得出因果推断成为可能.
- 这些综合方法促进了从识别风险变体到理解生物机制和神经回路的过渡.
结论:
- 新兴的多原子和空间分析技术对于剖析精神疾病的多基因基础至关重要.
- 将遗传变异与基因调节,细胞类型脆弱性和电路功能障碍联系起来,是了解疾病发病的关键.
- 这些综合方法为生物标志物发现,患者分层和精神疾病精确治疗策略的开发铺平了道路.
更多相关视频
08:51Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
Published on: September 20, 2024
08:33Olfactory Neurons Obtained through Nasal Biopsy Combined with Laser-Capture Microdissection: A Potential Approach to Study Treatment Response in Mental Disorders
Published on: December 4, 2014
相关概念视频
Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders
Researchers have identified genetic factors that increase susceptibility to schizophrenia, underscoring the intricate interplay between genetics and environment in disease development. At the core of schizophrenia's pathophysiology is excessive dopaminergic neurotransmission within...
Biological Causes of Schizophrenia
Genetic Factors in Schizophrenia
The genetic basis of schizophrenia is strongly supported by family and twin...
Human Genetics
The complex relationship between genetics and psychology is observable through common biological components such...
Genomics
