smORF atlas (part 1-RiboSeq). smORF atlas (part 1-RiboSeq)

Small open reading frames (smORFs) can have important regulatory roles and give rise to stable proteins, yet their discovery based on sequence-based predictions and proteomics has been challenging. Ribosome profiling (Ribo-seq) data can provide valuable experimental evidence of RNA translation. Stringent analysis of P-sites, representing 1.3 billion high-confidence ribosome locations, revealed 5308 uORFs, 1652 smORFs in lincRNAs and 807 dORFs that are translated in humans. We here provide a comprehensive database of Ribo-seq smORFs for a more complete understanding of the translated human genome. Overall design: To identify smORFs on a genome-wide level, we have collected, generated and processed Ribo-seq data from seven primary human cell types and two human tissues.

小型开放阅读框（small open reading frames，smORFs）可发挥关键调控功能，并可编码稳定蛋白质，然而基于序列预测与蛋白质组学的相关鉴定工作仍颇具挑战。核糖体谱分析（Ribosome profiling，Ribo-seq）数据可为RNA翻译提供极具价值的实验佐证。通过对代表13亿个高置信度核糖体定位位点的P位点进行严格分析，我们在人类样本中鉴定出5308个上游开放阅读框（upstream open reading frames，uORFs）、1652个位于长链基因间非编码RNA（long intergenic non-coding RNAs，lincRNAs）内的小型开放阅读框以及807个下游开放阅读框（downstream open reading frames，dORFs）。本研究构建了一套基于Ribo-seq的小型开放阅读框综合数据库，以期更全面地解析人类翻译组。实验设计概述：为在全基因组层面鉴定小型开放阅读框，我们收集、生成并处理了来自7种原代人类细胞类型与2种人类组织的Ribo-seq数据。