Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA.
Center for Computational Biology, University of California, Berkeley, CA, 94720, USA.
Curr Genet. 2021 Feb;67(1):49-56. doi: 10.1007/s00294-020-01121-8. Epub 2020 Nov 1.
Global methods for assaying translation have greatly improved our understanding of the protein-coding capacity of the genome. In particular, it is now possible to perform genome-wide and condition-specific identification of translation initiation sites through modified ribosome profiling methods that selectively capture initiating ribosomes. Here we discuss our recent study applying such an approach to meiotic and mitotic timepoints in the simple eukaryote, budding yeast, as an example of the surprising diversity of protein products-many of which are non-canonical-that can be revealed by such methods. We also highlight several key challenges in studying non-canonical protein isoforms that have precluded their prior systematic discovery. A growing body of work supports expanded use of empirical protein-coding region identification, which can help relieve some of the limitations and biases inherent to traditional genome annotation approaches. Our study also argues for the adoption of less static views of gene identity and a broader framework for considering the translational capacity of the genome.
全球翻译分析方法极大地提高了我们对基因组蛋白编码能力的理解。特别是,现在通过改良核糖体图谱分析方法,能够在全基因组范围内和特定条件下鉴定翻译起始位点,该方法可以选择性地捕获起始核糖体。在这里,我们将讨论我们最近的一项研究,该研究以简单真核生物芽殖酵母的减数分裂和有丝分裂时间点为例,应用了这种方法,展示了通过这种方法可以揭示出蛋白质产物的惊人多样性,其中许多是非规范的。我们还强调了在研究非规范蛋白亚型时存在的几个关键挑战,这些挑战阻碍了它们的系统发现。越来越多的工作支持扩大使用经验性蛋白编码区域鉴定,这有助于缓解传统基因组注释方法固有的一些限制和偏见。我们的研究还主张采用对基因同一性的不那么静态的观点和更广泛的框架来考虑基因组的翻译能力。