4.4 Article

Blocking Abundant RNA Transcripts by High-Affinity Oligonucleotides during Transcriptome Library Preparation

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BIOLOGICAL PROCEDURES ONLINE
卷 25, 期 1, 页码 -

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BMC
DOI: 10.1186/s12575-023-00193-3

关键词

RNA sequencing; Oxford nanopore technologies; Single-cell RNA sequencing; Depletion

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RNA sequencing is widely used for transcriptome analysis, but quantification of low-abundant transcripts remains challenging. Researchers have developed a strategy using high-affinity RNA-binding oligonucleotides to reduce the abundance of specific RNA transcripts in sequencing libraries. This method is efficient, reproducible, and can be easily integrated into existing RNA sequencing protocols, improving transcriptome coverage and complexity.
BackgroundRNA sequencing has become the gold standard for transcriptome analysis but has an inherent limitation of challenging quantification of low-abundant transcripts. In contrast to microarray technology, RNA sequencing reads are proportionally divided in function of transcript abundance. Therefore, low-abundant RNAs compete against highly abundant - and sometimes non-informative - RNA species.ResultsWe developed an easy-to-use strategy based on high-affinity RNA-binding oligonucleotides to block reverse transcription and PCR amplification of specific RNA transcripts, thereby substantially reducing their abundance in the final sequencing library. To demonstrate the broad application potential of our method, we applied it to different transcripts and library preparation strategies, including YRNAs in small RNA sequencing of human blood plasma, mitochondrial rRNAs in both 3 ' end sequencing and long-read sequencing, and MALAT1 in single-cell 3 ' end sequencing. We demonstrate that the blocking strategy is highly efficient, reproducible, specific, and generally results in better transcriptome coverage and complexity.ConclusionOur method does not require modifications of the library preparation procedure apart from simply adding blocking oligonucleotides to the RT reaction and can thus be easily integrated into virtually any RNA sequencing library preparation protocol.

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