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病毒短开放阅读框及其可能的功能。

Viral Short ORFs and Their Possible Functions.

机构信息

Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.

出版信息

Proteomics. 2018 May;18(10):e1700255. doi: 10.1002/pmic.201700255. Epub 2018 Jan 19.

Abstract

Definition of functional genomic elements is one of the greater challenges of the genomic era. Traditionally, putative short open reading frames (sORFs) coding for less than 100 amino acids were disregarded due to computational and experimental limitations; however, it has become clear over the past several years that translation of sORFs is pervasive and serves diverse functions. The development of ribosome profiling, allowing identification of translated sequences genome wide, revealed wide spread, previously unidentified translation events. New computational methodologies as well as improved mass spectrometry approaches also contributed to the task of annotating translated sORFs in different organisms. Viruses are of special interest due to the selective pressure on their genome size, their rapid and confining evolution, and the potential contribution of novel peptides to the host immune response. Indeed, many functional viral sORFs were characterized to date, and ribosome profiling analyses suggest that this may be the tip of the iceberg. Our computational analyses of sORFs identified by ribosome profiling in DNA viruses demonstrate that they may be enriched in specific features implying that at least some of them are functional. Combination of systematic genome editing strategies with synthetic tagging will take us into the next step-elucidation of the biological relevance and function of this intriguing class of molecules.

摘要

功能基因组元件的定义是基因组时代面临的重大挑战之一。传统上,由于计算和实验的限制,那些编码少于 100 个氨基酸的假定短开放阅读框(sORF)被忽略了;然而,在过去几年中,人们已经清楚地认识到 sORF 的翻译是普遍存在的,并具有多种功能。核糖体图谱的发展使得能够在全基因组范围内识别翻译序列,揭示了广泛存在的、以前未被识别的翻译事件。新的计算方法以及改进的质谱方法也有助于注释不同生物体中转录的 sORF。病毒特别引人注目,因为它们的基因组大小受到选择压力的影响,它们的快速和局限的进化,以及新肽对宿主免疫反应的潜在贡献。事实上,迄今为止已经鉴定了许多功能病毒 sORF,核糖体图谱分析表明,这可能只是冰山一角。我们对核糖体图谱在 DNA 病毒中鉴定的 sORF 的计算分析表明,它们可能富含特定特征,这意味着它们中的至少一些是有功能的。将系统的基因组编辑策略与合成标记相结合,将使我们进入下一步——阐明这一类引人入胜的分子的生物学相关性和功能。

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