上游开放阅读框可能包含数百个新的人类外显子。

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS PLoS Computational Biology Pub Date : 2024-11-20 eCollection Date: 2024-11-01 DOI:10.1371/journal.pcbi.1012543
Hyun Joo Ji, Steven L Salzberg
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引用次数: 0

摘要

最近的几项研究提供了证据,表明人类基因目录应该扩大,以包括出现在现有蛋白质编码基因上游或下游的数千个短开放阅读框(ORFs),每个ORFs都可能在人类体内产生一个额外的双螺旋转录本。在这里,我们探讨了另一种假设,它可以解释这些上游 ORFs 的翻译和进化证据,而无需创建新基因或双螺旋转录本。我们研究了 2199 个被认为是新基因优质候选者的上游 ORF,以确定它们是否代表了可以添加到现有基因中的蛋白质编码外显子。我们检查了这些ORFs在四个最新测序的高质量人类基因组中的保守性,发现大部分(87.8%)ORFs在所有四个基因组中都是保守的。然后,我们寻找剪接证据,将每个上游 ORF 与同一基因座的下游蛋白编码基因连接起来,从而利用上游 ORF 作为其第一个外显子创造出一种新的剪接变体。通过对包含拟议新外显子的蛋白质序列进行蛋白质结构预测,进一步评估了这些候选蛋白质编码外显子。我们确定,在 2199 个上游 ORF 中,有 541 个上游 ORF 有确凿证据表明,它们可以形成作为现有基因一部分的蛋白质编码外显子,而且据预测,由此产生的蛋白质的结构质量与目前注释的同工型相似或更好。
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Upstream open reading frames may contain hundreds of novel human exons.

Several recent studies have presented evidence that the human gene catalogue should be expanded to include thousands of short open reading frames (ORFs) appearing upstream or downstream of existing protein-coding genes, each of which might create an additional bicistronic transcript in humans. Here we explore an alternative hypothesis that would explain the translational and evolutionary evidence for these upstream ORFs without the need to create novel genes or bicistronic transcripts. We examined 2,199 upstream ORFs that have been proposed as high-quality candidates for novel genes, to determine if they could instead represent protein-coding exons that can be added to existing genes. We checked for the conservation of these ORFs in four recently sequenced, high-quality human genomes, and found a large majority (87.8%) to be conserved in all four as expected. We then looked for splicing evidence that would connect each upstream ORF to the downstream protein-coding gene at the same locus, thus creating a novel splicing variant using the upstream ORF as its first exon. These protein coding exon candidates were further evaluated using protein structure predictions of the protein sequences that included the proposed new exons. We determined that 541 out of 2,199 upstream ORFs have strong evidence that they can form protein coding exons that are part of an existing gene, and that the resulting protein is predicted to have similar or better structural quality than the currently annotated isoform.

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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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