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评估十足目促性腺激素释放激素 G 蛋白偶联受体超家族的保守结构域和基序。

Evaluating conserved domains and motifs of decapod gonadotropin-releasing hormone G protein-coupled receptor superfamily.

机构信息

Centre for Bioinnovation, University of the Sunshine Coast, Maroochydore, QLD, Australia.

School of Science, Technology and Engineering, University of the Sunshine Coast, Maroochydore, QLD, Australia.

出版信息

Front Endocrinol (Lausanne). 2024 Feb 20;15:1348465. doi: 10.3389/fendo.2024.1348465. eCollection 2024.

Abstract

G protein-coupled receptors (GPCRs) are an ancient family of signal transducers that are both abundant and consequential in metazoan endocrinology. The evolutionary history and function of the GPCRs of the decapod superfamilies of gonadotropin-releasing hormone (GnRH) are yet to be fully elucidated. As part of which, the use of traditional phylogenetics and the recycling of a diminutive set of mis-annotated databases has proven insufficient. To address this, we have collated and revised eight existing and three novel GPCR repertoires for GnRH of decapod species. We developed a novel bioinformatic workflow that included clustering analysis to capture likely GnRH receptor-like proteins, followed by phylogenetic analysis of the seven transmembrane-spanning domains. A high degree of conservation of the sequences and topology of the domains and motifs allowed the identification of species-specific variation (up to ~70%, especially in the extracellular loops) that is thought to be influential to ligand-binding and function. Given the key functional role of the DRY motif across GPCRs, the classification of receptors based on the variation of this motif can be universally applied to resolve cryptic GPCR families, as was achieved in this work. Our results contribute to the resolution of the evolutionary history of invertebrate GnRH receptors and inform the design of bioassays in their deorphanization and functional annotation.

摘要

G 蛋白偶联受体(GPCRs)是一类古老的信号转导分子,在后生动物内分泌学中既丰富又重要。然而,关于 GnRH 的十足目超家族的 GPCRs 的进化历史和功能仍未完全阐明。作为其中的一部分,传统系统发育学的应用和一组微小的、注释错误的数据库的重复使用已被证明是不够的。为了解决这个问题,我们已经整理和修订了 8 个现有的和 3 个新的 GnRH 十足目物种的 GPCR 谱。我们开发了一种新的生物信息学工作流程,包括聚类分析以捕获可能的 GnRH 受体样蛋白,然后对七个跨膜结构域进行系统发育分析。序列和结构域和基序的高度保守性允许识别物种特异性的变异(高达约 70%,特别是在细胞外环),这些变异被认为对配体结合和功能有影响。鉴于 DRY 基序在 GPCR 中的关键功能作用,基于该基序变异的受体分类可以普遍应用于解决隐蔽的 GPCR 家族,正如这项工作所实现的那样。我们的研究结果有助于解决无脊椎动物 GnRH 受体的进化历史,并为它们的去孤儿化和功能注释中的生物测定设计提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1631/10912298/e72d49d8c0f8/fendo-15-1348465-g001.jpg

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