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Organism-Specific rRNA Capture System for Application in Next-Generation Sequencing

生物 核糖核酸 核糖体RNA 计算生物学 转移RNA 基因 遗传学
作者
Sai-Kam Li,Junwei Zhou,Aldrin Kay‐Yuen Yim,Alden King-Yung Leung,Stephen Kwok‐Wing Tsui,Ting‐Fung Chan,Terrence Chi‐Kong Lau
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:8 (9): e74286-e74286 被引量:12
标识
DOI:10.1371/journal.pone.0074286
摘要

RNA-sequencing is a powerful tool in studying RNomics. However, the highly abundance of ribosomal RNAs (rRNA) and transfer RNA (tRNA) have predominated in the sequencing reads, thereby hindering the study of lowly expressed genes. Therefore, rRNA depletion prior to sequencing is often performed in order to preserve the subtle alteration in gene expression especially those at relatively low expression levels. One of the commercially available methods is to use DNA or RNA probes to hybridize to the target RNAs. However, there is always a concern with the non-specific binding and unintended removal of messenger RNA (mRNA) when the same set of probes is applied to different organisms. The degree of such unintended mRNA removal varies among organisms due to organism-specific genomic variation. We developed a computer-based method to design probes to deplete rRNA in an organism-specific manner. Based on the computation results, biotinylated-RNA-probes were produced by in vitro transcription and were used to perform rRNA depletion with subtractive hybridization. We demonstrated that the designed probes of 16S rRNAs and 23S rRNAs can efficiently remove rRNAs from Mycobacterium smegmatis. In comparison with a commercial subtractive hybridization-based rRNA removal kit, using organism-specific probes is better in preserving the RNA integrity and abundance. We believe the computer-based design approach can be used as a generic method in preparing RNA of any organisms for next-generation sequencing, particularly for the transcriptome analysis of microbes.
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