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MetamORF: a repository of unique short open reading frames identified by both experimental and computational approaches for gene and metagene analyses

机译:Metamorf:通过实验和基因和代理人分析的实验和计算方法识别的独特短路阅读框架的存储库

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摘要

The development of high-throughput technologies revealed the existence of non-canonical short open reading frames (sORFs) on most eukaryotic ribonucleic acids. They are ubiquitous genetic elements conserved across species and suspected to be involved in numerous cellular processes. MetamORF (https://metamorf.hb.univ-amu.fr/) aims to provide a repository of unique sORFs identified in the human and mouse genomes with both experimental and computational approaches. By gathering publicly available sORF data, normalizing them and summarizing redundant information, we were able to identify a total of 1 162 675 unique sORFs. Despite the usual characterization of ORFs as short, upstream or downstream, there is currently no clear consensus regarding the definition of these categories. Thus, the data have been reprocessed using a normalized nomenclature. MetamORF enables new analyses at locus, gene, transcript and ORF levels, which should offer the possibility to address new questions regarding sORF functions in the future. The repository is available through an user-friendly web interface, allowing easy browsing, visualization, filtering over multiple criteria and export possibilities. sORFs can be searched starting from a gene, a transcript and an ORF ID, looking in a genome area or browsing the whole repository for a species. The database content has also been made available through track hubs at UCSC Genome Browser. Finally, we demonstrated an enrichment of genes harboring upstream ORFs among genes expressed in response to reticular stress.
机译:高通量技术的发展揭示了大多数真核核糖核的非规范短路阅读框架(SORF)的存在。它们是普遍存在的遗传元素,跨越物种,并且怀疑涉及许多细胞过程。 MetamORF(https://metamorf.hb.univ-amu.fr/)旨在提供与实验和计算方法的人类和小鼠基因组中标识的唯一sORFs的存储库。通过收集公开可用的SORF数据,将它们正常化并总结冗余信息,我们能够识别1 162 675个独特的SORF。尽管常规表征ORFS作为短暂的,上游或下游,但目前没有关于这些类别的定义的明确达成。因此,数据已经使用标准化的命名法进行了重新处理。 Metamorf可以在轨迹,基因,成绩单和ORF水平上进行新的分析,这应该提供对未来解决SORF职能的新问题。存储库可通过用户友好的Web界面使用,允许轻松浏览,可视化,过滤多个标准和导出可能性。可以从基因,转录物和ORF ID开始搜索SORF,观看基因组区域或为物种浏览整个存储库。还通过UCSC基因组浏览器的轨道集线器提供了数据库内容。最后,我们展示了含有响应网状应激表达的基因上患有上游ORF的基因的富集。

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