高海拔地区长期居民的特定基因表达研究

IF 1.7 4区 生物学 Q4 EVOLUTIONARY BIOLOGY Evolutionary Bioinformatics Pub Date : 2024-05-30 DOI:10.1177/11769343241257344
Chao He, Bin Zhu, Wenwen Gao, Qianjin Wu, Changshui Zhang
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引用次数: 0

摘要

在二倍体生物中,每个细胞中的染色体一半来自父亲,一半来自母亲。以往的研究发现,父源染色体和母源染色体可以独立调控和表达,从而导致等位基因特异性表达(ASE)的出现。在本研究中,我们根据 RNA 测序数据分析了高海拔人群和正常人群中等位基因的差异表达。通过基因聚类分析和蛋白质相互作用网络分析,我们发现在基因水平上发生了一些变化,同时也产生了一些负面影响。在研究过程中,我们意识到钙调素同源结构域可能与长期高海拔生存有一定的相关性。高原环境的特点是缺氧、低气压、强紫外线辐射和低温。相应地,适应过程中的基因变化主要体现在这些特征上。高海拔一代生活还与癌症、免疫性疾病、心血管疾病、神经系统疾病、内分泌疾病等疾病高度相关。因此,高海拔地区的医疗系统应更加关注这些疾病。
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Study on Allele Specific Expression of Long-Term Residents in High Altitude Areas
In diploid organisms, half of the chromosomes in each cell come from the father and half from the mother. Through previous studies, it was found that the paternal chromosome and the maternal chromosome can be regulated and expressed independently, leading to the emergence of allele specific expression (ASE). In this study, we analyzed the differential expression of alleles in the high-altitude population and the normal population based on the RNA sequencing data. Through gene cluster analysis and protein interaction network analysis, we found some changes occurred at the gene level, and some negative effects. During the study, we realized that the calmodulin homology domain may have a certain correlation with long-term survival at high altitude. The plateau environment is characterized by hypoxia, low air pressure, strong ultraviolet radiation, and low temperature. Accordingly, the genetic changes in the process of adaptation are mainly reflected in these characteristics. High altitude generation living is also highly related to cancer, immune disease, cardiovascular disease, neurological disease, endocrine disease, and other diseases. Therefore, the medical system in high altitude areas should pay more attention to these diseases.
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来源期刊
Evolutionary Bioinformatics
Evolutionary Bioinformatics 生物-进化生物学
CiteScore
4.20
自引率
0.00%
发文量
25
审稿时长
12 months
期刊介绍: Evolutionary Bioinformatics is an open access, peer reviewed international journal focusing on evolutionary bioinformatics. The journal aims to support understanding of organismal form and function through use of molecular, genetic, genomic and proteomic data by giving due consideration to its evolutionary context.
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