Belozersky Institute for Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russian Federation.
Kharkevich Institute for Information Transmission Problems, RAS, Moscow, Russian Federation.
Methods Mol Biol. 2024;2757:531-581. doi: 10.1007/978-1-0716-3642-8_22.
Experimental discovery of neuropeptides and peptide hormones is a long and tedious task. Mining the genomic and transcriptomic sequence data with robust secretory peptide prediction tools can significantly facilitate subsequent experiments. We describe the application of various in silico neuropeptide discovery methods for the placozoan Trichopax adhaerens as an illustrated example and a powerful experimental paradigm for cellular and evolutionary biology. In total, 33 placozoan (neuro)peptide-like hormone precursors were found using homology-based BLAST search and repeat-based and comparative evolutionary methods. Some of the discovered precursors are homologous to insulins and RFamide precursors from Cnidaria and other animal phyla.
神经肽和肽激素的实验发现是一项漫长而乏味的任务。使用强大的分泌性肽预测工具挖掘基因组和转录组序列数据，可以显著促进后续实验。我们以扁盘动物 Trichopax adhaerens 为例，介绍了各种基于计算机的神经肽发现方法的应用，这是细胞和进化生物学的强大实验范例。总共使用基于同源性的 BLAST 搜索和基于重复序列的和比较进化的方法，发现了 33 种扁盘动物（神经）肽类激素前体。其中一些发现的前体与刺胞动物门和其他动物门的胰岛素和 RFamide 前体具有同源性。
