Abstract:
:The immaculate annotation of all microRNAs (miRNAs) is a prerequisite to study their biological function on a genome-wide scale. However, the original criteria for proper miRNA annotation seem unsuited for the automated analysis of the immense number of small RNA reads available in next generation sequencing (NGS) datasets. Here we analyze the confidence of past miRNA annotation in miRBase by cross-analyzing publicly available NGS datasets using strengthened annotation requirements. Our analysis highlights that a large number of annotated human miRNAs in miRBase seems to require more experimental validation to be confidently annotated. Notably, our dataset analysis also identified almost 300 currently non-annotated miRNA*s and 28 novel miRNAs. These observations hereby greatly increase the confidence of past miRNA annotation in miRBase but also illustrate the usefulness of continuous re-evaluating NGS datasets in the identification of novel miRNAs.
journal_name
RNA Bioljournal_title
RNA biologyauthors
Hansen TB,Kjems J,Bramsen JBdoi
10.4161/rna.8.3.14333subject
Has Abstractpub_date
2011-05-01 00:00:00pages
378-83issue
3eissn
1547-6286issn
1555-8584pii
14333journal_volume
8pub_type
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