Figure 1: Comparison of RNA-Seq coverage between Drosha−/− and wild-type mouse ESCs. | Nature Communications

Figure 1: Comparison of RNA-Seq coverage between Drosha−/− and wild-type mouse ESCs.

From: microTSS: accurate microRNA transcription start site identification reveals a significant number of divergent pri-miRNAs

Figure 1

The example depicts Mir17hg locus transcribing a cluster of six precursor miRNAs. Purple colour represents the coverage of Drosha −/− mouse ESCs (~27 M uniquely mapped Single End reads), while green colour is utilized for Drosha +/+ ESCs (~19 M uniquely mapped Single End reads). The ‘normal-depth’ Drosha +/+ data set depicts the effect of Drosha processing, which is the main reason for the current lack of pri-miRNA TSS characterization. Currently annotated Mir17hg TSS is close to the start site of Drosha +/+ Mir17hg expression. Red colour represents the coverage of the deeply sequenced RNA-Seq data set (~250 M uniquely mapped Paired End reads) from wild-type mouse ESCs derived from the ENCODE project. This figure illustrates the ability of Drosha −/− and deeply sequenced RNA-Seq data sets to capture the elusive pri-miRNA expression. In addition, it shows that the TSS of Mir17hg is clearly upstream from its currently annotated position.

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