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Efficient cellular fractionation improves RNA sequencing analysis of mature and nascent transcripts from human tissues.


ABSTRACT: BACKGROUND: The starting material for RNA sequencing (RNA-seq) studies is usually total RNA or polyA+ RNA. Both forms of RNA represent heterogeneous pools of RNA molecules at different levels of maturation and processing. Such heterogeneity, in addition to the biases associated with polyA+ purification steps, may influence the analysis, sensitivity and the interpretation of RNA-seq data. We hypothesize that subcellular fractions of RNA may provide a more accurate picture of gene expression. RESULTS: We present results for sequencing of cytoplasmic and nuclear RNA after cellular fractionation of tissue samples. In comparison with conventional polyA+ RNA, the cytoplasmic RNA contains a significantly higher fraction of exonic sequence, providing increased sensitivity in expression analysis and splice junction detection, and in improved de novo assembly of RNA-seq data. Conversely, the nuclear fraction shows an enrichment of unprocessed RNA compared with total RNA-seq, making it suitable for analysis of nascent transcripts and RNA processing dynamics. CONCLUSION: Our results show that cellular fractionation is a more rapid and cost effective approach than conventional polyA+ enrichment when studying mature RNAs. Thus, RNA-seq of separated cytosolic and nuclear RNA can significantly improve the analysis of complex transcriptomes from mammalian tissues.

SUBMITTER: Zaghlool A 

PROVIDER: S-EPMC3833653 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Efficient cellular fractionation improves RNA sequencing analysis of mature and nascent transcripts from human tissues.

Zaghlool Ammar A   Ameur Adam A   Nyberg Linnea L   Halvardson Jonatan J   Grabherr Manfred M   Cavelier Lucia L   Feuk Lars L  

BMC biotechnology 20131113


<h4>Background</h4>The starting material for RNA sequencing (RNA-seq) studies is usually total RNA or polyA+ RNA. Both forms of RNA represent heterogeneous pools of RNA molecules at different levels of maturation and processing. Such heterogeneity, in addition to the biases associated with polyA+ purification steps, may influence the analysis, sensitivity and the interpretation of RNA-seq data. We hypothesize that subcellular fractions of RNA may provide a more accurate picture of gene expressio  ...[more]

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