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cDNA normalization by hydroxyapatite chromatography to enrich transcriptome diversity in RNA-seq applications. | LitMetric

AI Article Synopsis

  • Second-generation sequencing (SGS) is essential for analyzing RNA diversity in organisms and single cells, but it requires the removal of ribosomal RNA (rRNA) to be effective, as rRNA can make up to 95% of total RNA.
  • A novel hydroxyapatite chromatography (HAC) method has been developed to efficiently deplete both eukaryotic and prokaryotic rRNA, enhancing the detection of non-rRNA populations in RNA-seq analysis.
  • HAC normalization produces rRNA-depleted cDNA libraries that perform comparably to existing methods and offers a cost-effective, non-destructive alternative for improving transcriptome profiling.

Article Abstract

Second-generation sequencing (SGS) has become the preferred method for RNA transcriptome profiling of organisms and single cells. However, SGS analysis of transcriptome diversity (including protein-coding transcripts and regulatory non-coding RNAs) is inefficient unless the sample of interest is first depleted of nucleic acids derived from ribosomal RNA (rRNA), which typically account for up to 95% of total intracellular RNA content. Here we describe a novel microscale hydroxyapatite chromatography (HAC) normalization method to remove eukaryotic and prokaryotic high abundant rRNA species, thereby increasing sequence coverage depth and transcript diversity across non-rRNA populations. RNA-seq analysis of Escherichia coli K-12 and human intracellular total RNA showed that HAC-based normalization enriched for all non-ribosomal RNA species regardless of RNA transcript abundance or length when compared with untreated controls. Microcolumn HAC normalization generated rRNA-depleted cDNA libraries comparable to the well-established duplex specific nuclease (DSN) normalization and Ribo-Zero rRNA-depletion methods, thus establishing microscale HAC as an effective, cost saving, and non-destructive alternative normalization technique.

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Source
http://dx.doi.org/10.2144/000113937DOI Listing

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