Genome ResearchGenomicsPeer-reviewed journal article
Towards the human cellular microRNAome
Matthew N. McCalliD, Min‐Sik KimiD, Mohammed Adil, Arun H. PatiliD, Yin Lu, Christopher J. Mitchell, Pamela LealiD, Jinchong XuiD, Manoj KumariD, Valina Lynn DawsoniD, Ted M. DawsoniD, Alexander Spyridon BarasiD, Avi Z. RosenbergiD, Dan E. ArkingiD, Kathleen H. BurnsiD, Akhilesh PandeyiD, Marc K. HalushkaiD
Abstract
microRNAs are short RNAs that serve as master regulators of gene expression and are essential components of normal development as well as modulators of disease. MicroRNAs generally act cell autonomously and thus their localization to specific cell types is needed to guide our understanding of microRNA activity. Current tissue-level data has caused considerable confusion and comprehensive cell-level data does not yet exist. Here we establish the landscape of human cell-specific microRNA expression. This project evaluated 8 billion small RNA-seq reads from 46 primary cell types, 42 cancer or immortalized cell lines, and 26 tissues. It identified both specific and ubiquitous patterns of expression that strongly correlate with adjacent super-enhancer activity. Analysis of unaligned RNA reads uncovered 207 unknown minor strand (passenger) microRNAs of known microRNA loci and 2,632 novel putative microRNA loci. Although cancer cell lines generally recapitulated the expression patterns of matched primary cells, their isomiR sequence families exhibited increased disorder suggesting Drosha and Dicer-dependent microRNA processing variability. Cell-specific patterns of microRNA expression were used to deconvolute variable cellular composition of adipose tissue samples highlighting one use of this cell-specific microRNA expression data. Characterization of cellular microRNA expression across a wide variety of cell types provides a new understanding of this critical regulatory RNA species.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: deconvolution
- approach: statistical model
- Citations
- 156
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