five

Supplementary Material for: Extensive Changes in the Expression of the Opioid Genes between Humans and Chimpanzees

收藏
DataCite Commons2020-09-02 更新2024-07-25 收录
下载链接:
https://karger.figshare.com/articles/dataset/Supplementary_Material_for_Extensive_Changes_in_the_Expression_of_the_Opioid_Genes_between_Humans_and_Chimpanzees/5121436/1
下载链接
链接失效反馈
官方服务:
资源简介:
The various means by which the body perceives, transmits, and resolves the experiences of pain and nociception are mediated by a host of molecules, including neuropeptides within the opioid gene signaling pathway. The peptide ligands and receptors encoded by this group of genes have been linked to behavioral disorders as well as a number of psychiatric affective disorders. Our aim was to explore the recent evolutionary history of these two gene families by taking a comparative genomics approach, specifically through a comparison between humans and chimpanzees. Our analyses indicate differential expression of these genes between the two species, more than expected based on genome-wide comparisons, indicating that differential expression is pervasive among the opioid genes. Of the 8 family members, three genes showed significant expression differences <i>(PENK</i>, <i>PNOC</i>, and <i>OPRL1)</i>, with two others marginally significant <i>(OPRM1</i> and <i>OPRD1)</i>. Accelerated substitution rates along human and chimpanzee lineages within the putative regulatory regions of <i>OPRM1</i>, <i>POMC</i>, and <i>PDYN</i> between the human and chimpanzee branches are consistent with positive selection. Collectively, these results suggest that there may have been a selective advantage to modulating the expression of the opioid genes in humans compared with our closest living relatives. Information about the cognitive roles mediated by these genes in humans may help to elucidate the trait consequences of these putatively adaptive expression changes.
提供机构:
Karger Publishers
创建时间:
2017-06-20
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作