Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Department of Chemistry, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Methods Mol Biol. 2024;2758:151-178. doi: 10.1007/978-1-0716-3646-6_8.
Neuropeptides and peptide hormones are signaling molecules produced via complex posttranslational modifications of precursor proteins known as prohormones. Neuropeptides activate specific receptors and are associated with the regulation of physiological systems and behaviors. The identification of prohormones-and the neuropeptides created by these prohormones-from genomic assemblies has become essential to support the annotation and use of the rapidly growing number of sequenced genomes. Here we describe a well-validated methodology for identifying the prohormone complement from genomic assemblies that employs widely available public toolsets and databases. The uncovered prohormone sequences can then be screened for putative neuropeptides to enable accurate proteomic discovery and validation.
神经肽和肽类激素是通过前体蛋白（称为前激素）的复杂翻译后修饰产生的信号分子。神经肽激活特定的受体，与生理系统和行为的调节有关。从基因组组装中鉴定前激素和这些前激素产生的神经肽对于支持注释和使用快速增长的测序基因组变得至关重要。在这里，我们描述了一种经过充分验证的从基因组组装中鉴定前激素成分的方法，该方法采用了广泛可用的公共工具集和数据库。然后可以筛选发现的前激素序列，以鉴定潜在的神经肽，从而实现准确的蛋白质组学发现和验证。
