序列表达方法用于识别P53和cMYC驱动疾病中的病因性非编码DNA变异
Katherine Kin1, Shounak Bhogale2, Lisha Zhu3
1Department of Diagnostic and Biomedical Sciences, Center for Craniofacial Research, School of Dentistry, University of Texas Health Science Center at Houston.
Research square
|July 28, 2023
概括
识别与P53和cMYC活动相关的非编码DNA变异对于疾病预测至关重要. 这项研究揭示了 cis 叠加基因 (CisOM) 的变异如何影响基因表达,有助于过与疾病相关的遗传因素.
科学领域:
- 基因组学和分子生物学
- 表观遗传学和基因调控
- 疾病风险预测 疾病风险预测
背景情况:
- 对常见疾病来说,区分有害的非编码DNA变异是具有挑战性的.
- 反对转录因子的非编码变异破坏 cis 叠加动机 (CisOM) 影响增强剂活性.
- 了解P53和cMYC在基因调节中的相互作用是了解疾病的关键.
结论:
- 在CisOMs中的cMYC结合亲和力中SNP诱导的变化和改变的基因表达之间存在显著的相关性.
- 这项研究推进了一种用于过P53和cMYC依赖疾病的病因学非编码变异的方法.
- 这些发现有助于改善疾病风险预测和潜在的治疗策略.
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