MicroRNome by methylation-dependent sequencing (mime-seq)
The description of precise miRNA expression patterns is crucial to understand what these small RNAs contribute to animal development and physiology. High-throughput sequencing of miRNAs from individual developmental stages has provided insight into temporal regulation but often lacks the cellular resolution to link miRNA-function to the biology of distinct cell types within complex tissues. Here, we provide a protocol for microRNome by methylation-dependent sequencing (mime-seq), a chemical small RNA-tagging approach followed by chemoselective, high-throughput sequencing that enables the identification of tissue- and cell type-specific miRNA profiles in animals in a sensitive and reproducible manner. Using this strategy, we have uncovered the miRNA composition of specific cells and tissues within C. elegans and Drosophila, providing insights into miRNA spatial distribution at high resolution. This protocol accompanies Alberti et al (Nature Methods, published online February 26, 2017; 10.1038/nmeth.4610)
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Table 7 List of primers, linkers and markers used in this protocol
Posted 12 Mar, 2018
MicroRNome by methylation-dependent sequencing (mime-seq)
Posted 12 Mar, 2018
The description of precise miRNA expression patterns is crucial to understand what these small RNAs contribute to animal development and physiology. High-throughput sequencing of miRNAs from individual developmental stages has provided insight into temporal regulation but often lacks the cellular resolution to link miRNA-function to the biology of distinct cell types within complex tissues. Here, we provide a protocol for microRNome by methylation-dependent sequencing (mime-seq), a chemical small RNA-tagging approach followed by chemoselective, high-throughput sequencing that enables the identification of tissue- and cell type-specific miRNA profiles in animals in a sensitive and reproducible manner. Using this strategy, we have uncovered the miRNA composition of specific cells and tissues within C. elegans and Drosophila, providing insights into miRNA spatial distribution at high resolution. This protocol accompanies Alberti et al (Nature Methods, published online February 26, 2017; 10.1038/nmeth.4610)
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