Zhang Xiao-Ou, Yin Qing-Fei, Chen Ling-Ling, Yang Li
Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai 200031, China.
State Key Laboratory of Molecular Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Genom Data. 2014 Aug 3;2:237-41. doi: 10.1016/j.gdata.2014.07.005. eCollection 2014 Dec.
Transcriptomes are dynamic and unique, with each cell type/tissue, developmental stage and species expressing a different repertoire of RNA transcripts. Most mRNAs and well-characterized long noncoding RNAs are shaped with a 5' cap and 3' poly(A) tail, thus conventional transcriptome analyses typically start with the enrichment of poly(A)+ RNAs by oligo(dT) selection, followed by deep sequencing approaches. However, accumulated lines of evidence suggest that many RNA transcripts are processed by alternative mechanisms without 3' poly(A) tails and, therefore, fail to be enriched by oligo(dT) purification and are absent following deep sequencing analyses. We have described an enrichment strategy to purify non-polyadenylated (poly(A)-/ribo-) RNAs from human total RNAs by removal of both poly(A)+ RNA transcripts and ribosomal RNAs, which led to the identification of many novel RNA transcripts with non-canonical 3' ends in human. Here, we describe the application of non-polyadenylated RNA-sequencing in rhesus monkey and mouse cell lines/tissue, and further profile the transcription of non-polyadenylated RNAs across species, providing new resources for non-polyadenylated RNA identification and comparison across species.
转录组是动态且独特的,每种细胞类型/组织、发育阶段和物种都表达不同的RNA转录本库。大多数mRNA和特征明确的长链非编码RNA都具有5'帽和3'聚腺苷酸尾,因此传统的转录组分析通常从通过寡聚(dT)选择富集聚腺苷酸+RNA开始,随后采用深度测序方法。然而,越来越多的证据表明,许多RNA转录本是通过不带有3'聚腺苷酸尾的替代机制进行加工的,因此无法通过寡聚(dT)纯化进行富集,并且在深度测序分析后也不会出现。我们已经描述了一种富集策略,通过去除聚腺苷酸+RNA转录本和核糖体RNA来从人总RNA中纯化非聚腺苷酸化(聚(A)-/核糖-)RNA,这导致在人中鉴定出许多具有非经典3'末端的新型RNA转录本。在这里,我们描述了非聚腺苷酸化RNA测序在恒河猴和小鼠细胞系/组织中的应用,并进一步分析了跨物种非聚腺苷酸化RNA的转录情况,为跨物种非聚腺苷酸化RNA的鉴定和比较提供了新的资源。