人类基因组中的致病信号变体
Sneider Alexander Gutierrez Guarnizo1, Morgana K Kellogg1, Sarah C Miller1
1Department of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
NAR genomics and bioinformatics
|October 20, 2023
概括
研究人员确定了超过11000种与人类疾病相关的致病信号突变. 这些突变破坏了蛋白质的向和处理,为疾病机制提供了洞察力.
科学领域:
- 基因组学就是基因组学.
- 分子生物学分子生物学
- 生物化学 生物化学
背景情况:
- 对于细胞功能至关重要的分泌和膜蛋白,依赖于N端信号来向内质网膜 (ER).
- 信号中的突变可以损害蛋白质的向,转位,处理和稳定性,导致各种人类疾病.
- 尽管具有重要意义,但致病信号变体在很大程度上仍然未被描述.
研究的目的:
- 通过生物信息学分析,在人类基因组中识别致病信号变异.
- 预测这些变体引起的病理的基础分子机制.
- 建立一个框架,将基因组突变与人类疾病联系起来.
主要方法:
- 对基因组数据的生物信息分析以识别信号突变.
- 基于预测的病原性对突变的分类.
- 对于致病变体的分子机制的in silico预测.
主要成果:
- 识别了超过65,000个信号突变,其中超过11,000个被归类为致病性.
- 在编码分泌和膜蛋白的3300多个基因中发现了致病突变.
- 大多数病原性突变会影响信号的疏水核,可能触发质量控制机制,如异常蛋白质生产调节 (RAPP) 和mRNA降解.
- 大约25%的致病变体会影响N端区域或信号酸酶分裂部位,导致转位缺陷或抑制蛋白质加工.
结论:
- 已经确定并描述了大量的致病信号突变.
- 这些突变可以破坏关键的蛋白质加工步骤,导致疾病.
- 这项研究为了解信号和人类疾病中的基因组突变之间的联系提供了一个框架.
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