A recent paper in BMC Biology entitled “A tissue level atlas of the healthy human virome” by Kumata et al. describes a meta-transcriptomic analysis of RNA-sequencing datasets from the Genotype-Tissue Expression (GTEx) Project. Using a workflow that maps the GTEx sequences to the human genome, then screens unmapped sequences to detect viral transcripts, the authors present a quantitative analysis of the presence of different viruses in the non-diseased tissues of over 500 individuals and assess the impact of these viruses on host gene expression. Here we draw attention to an issue not acknowledged in this study. Namely, by relying solely on GTEx datasets, which are enriched for transcripts with poly(A) tails, the analysis will have missed non-poly(A) viral transcripts, rendering this tissue level atlas of the virome incomplete. A commentary on Kumata et al. (BMC Biol 18:55, 2020).

中文翻译：

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从健康人类病毒的组织水平图册中删除非poly（A）病毒转录本

Kumata等人最近在BMC Biology上发表了题为“健康人类病毒的组织水平图集”的论文。描述了来自基因型组织表达（GTEx）项目的RNA测序数据集的超转录组学分析。通过使用将GTEx序列映射到人类基因组，然后筛选未映射序列以检测病毒转录本的工作流程，作者对500多个个体的未患病组织中不同病毒的存在进行了定量分析，并评估了这些影响病毒在宿主基因上的表达。在这里，我们提请注意本研究中未发现的问题。即，仅依靠GTEx数据集，该数据集富含带有poly（A）尾部的转录本，该分析将漏掉非poly（A）病毒的转录本，从而使该组织水平的病毒集图谱不完整。对久马田等人的评论。（BMC Biol 18:55，2020）。