BioBix, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, 900, Gent, Belgium.
BioBix, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, 900, Gent, Belgium.
Exp Cell Res. 2020 Jun 1;391(1):111923. doi: 10.1016/j.yexcr.2020.111923. Epub 2020 Mar 2.
Growing evidence illustrates the shortcomings on the current understanding of the full complexity of the proteome. Previously overlooked small open reading frames (sORFs) and their encoded microproteins have filled important gaps, exerting their function as biologically relevant regulators. The characterization of the full small proteome has potential applications in many fields. Continuous development of techniques and tools led to an improved sORF discovery, where these can originate from bioinformatics analyses, from sequencing routines or proteomics approaches. In this mini review, we discuss the ongoing trends in the three fields and suggest some strategies for further characterization of high potential candidates.
越来越多的证据表明,目前人们对蛋白质组的全面复杂性的理解存在不足。以前被忽视的小开放阅读框 (sORF) 及其编码的微蛋白填补了重要的空白,发挥了作为具有生物学意义的调节剂的作用。全面的小蛋白质组的特征具有在许多领域的潜在应用。技术和工具的不断发展导致了 sORF 发现的改进,这些可以来自生物信息学分析、测序程序或蛋白质组学方法。在这篇迷你综述中,我们讨论了这三个领域的当前趋势,并为进一步表征高潜力候选物提出了一些策略。