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Transcriptome and targetome analysis in MIR155 expressing cells using RNA-seq
Author(s) -
Guorong Xu,
Claire Fewell,
Christopher M. Taylor,
Nan Deng,
Dale J. Hedges,
Xia Wang,
Kun Zhang,
Michelle Lacey,
Haitao Zhang,
Qinyan Yin,
Jennifer Cameron,
Zhen Lin,
Dongxiao Zhu,
Erik K. Flemington
Publication year - 2010
Publication title -
rna
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.037
H-Index - 171
eISSN - 1469-9001
pISSN - 1355-8382
DOI - 10.1261/rna.2194910
Subject(s) - biology , transcriptome , computational biology , rna seq , microrna , in silico , dna microarray , microarray , genetics , gene , gene expression
Previous studies have demonstrated the utility of microarray expression analysis to identify potential microRNA targets. Nevertheless, technical limitations intrinsic to this platform constrain its ability to fully exploit the potential of assessing transcript level changes to explore microRNA targetomes. High-throughput multiplexed Illumina-based next-generation sequencing (NGS) provides a digital readout of absolute transcript levels and imparts a higher level of accuracy and dynamic range than microarray platforms. We used Illumina NGS to analyze transcriptome changes induced by the human microRNA MIR155. This analysis resulted in a larger inferred targetome than similar studies carried out using microarray platforms. A comparison with 3′ UTR reporter data demonstrated general concordance between NGS and corresponding 3′ UTR reporter results. Nonharmonious results were investigated more deeply using transcript structure information assembled from the NGS data. This analysis revealed that transcript structure plays a substantial role in mitigated targeting and in frank targeting failures. With its high level of accuracy, its broad dynamic range, its utility in assessing transcript structure, and its capacity to accurately interrogate global direct and indirect transcriptome changes, NGS is a useful tool for investigating the biology and mechanisms of action of microRNAs.

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