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染色体可访问性为人类大脑疾病的遗传病因提供了一个窗口
Jaroslav Bendl1, John F Fullard1, Kiran Girdhar1
1Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
遗传因素通过改变染色质可访问性的变化来改变基因表达,显著影响大脑疾病. 先进的基因组工具有助于绘制这些变化,指导未来的基因调节疗法.
科学领域:
- 基因组学就是基因组学.
- 神经科学是一个神经科学.
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
背景情况:
- 神经精神病和神经退行性疾病具有相当大的遗传基础.
- 风险变异常常存在于非编码基因组中,影响cis调节元件 (CREs) 和染色质结构.
- 改变的染色质结构最终会影响基因表达模式.
研究的目的:
- 审查最近关于染色质可访问性在脑疾病中的作用的发现.
- 强调高质量的数据和计算工具在这个领域的重要性.
- 讨论未来的基因发现和临床应用的桥梁方向.
主要方法:
- 用高通量测序 (ATAC-seq) 检测转化酶可访问的染色质是分析染色质可访问性的关键方法.
- 单细胞技术与全基因组关联研究 (GWAS) 和转录组数据的整合.
- 对大脑中细胞特异性染色质动态的分析.
主要成果:
- 染色体可访问性概况确定与疾病相关的单核酸多态 (SNP).
- 这些SNP可以与受影响的基因和特定的大脑细胞类型联系起来.
- 单细胞技术的进步提高了对细胞特异性染色质动态的理解.
结论:
- 染色体可访问性在脑疾病的遗传基础中起着至关重要的作用.
- 高质量的数据和强大的计算工具对于进步至关重要.
- 空间色素研究和基于CRISPR的功能验证的未来研究将推动针对性的基因调节疗法.
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