Suppr超能文献

人类嗅觉受体对气味的反应。

Human olfactory receptor responses to odorants.

机构信息

Monell Chemical Senses Center , 3500 Market Street, Philadelphia, Pennsylvania 19104, USA ; Department of Molecular Genetics and Microbiology, Duke University Medical Center , Research Drive, Durham, North Carolina 27710, USA ; Department of Neuroscience, University of Pennsylvania School of Medicine , Philadelphia, Pennsylvania 19104, USA.

Department of Molecular Genetics and Microbiology, Duke University Medical Center , Research Drive, Durham, North Carolina 27710, USA.

出版信息

Sci Data. 2015 Feb 3;2:150002. doi: 10.1038/sdata.2015.2. eCollection 2015.

Abstract

Although the human olfactory system is capable of discriminating a vast number of odors, we do not currently understand what chemical features are encoded by olfactory receptors. In large part this is due to a paucity of data in a search space covering the interactions of hundreds of receptors with billions of odorous molecules. Of the approximately 400 intact human odorant receptors, only 10% have a published ligand. Here we used a heterologous luciferase assay to screen 73 odorants against a clone library of 511 human olfactory receptors. This dataset will allow other researchers to interrogate the combinatorial nature of olfactory coding.

摘要

尽管人类嗅觉系统能够辨别大量气味,但我们目前还不清楚嗅觉受体所编码的化学特征是什么。在很大程度上,这是由于缺乏一个涵盖数百个受体与数十亿个有气味分子相互作用的搜索空间的数据。在大约 400 个完整的人类气味受体中,只有 10%有发表的配体。在这里,我们使用异源荧光素酶测定法对 511 个人类嗅觉受体的克隆文库进行了 73 种气味的筛选。这个数据集将允许其他研究人员探究嗅觉编码的组合性质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e407/4412152/a683fac36461/sdata20152-f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验