miRDeep2 accurately identifies known and hundreds of novel microRNA genes in seven animal clades
By Marc R. Friedländer, Sebastian D. Mackowiak, Na Li, Wei Chen, Nikolaus Rajewsky. Nucleic Acids Research, 2011
2,857 citations recorded by the source corpus.
microRNAs (miRNAs) are a large class of small non-coding RNAs which post-transcriptionally regulate the expression of a large fraction of all animal genes and are important in a wide range of biological processes. Recent advances in high-throughput sequencing allow miRNA detection at unprecedented sensitivity, but the computational task of accurately identifying the miRNAs in the background of sequenced RNAs remains challenging. For this purpose, we have designed miRDeep2, a substantially improved algorithm which identifies canonical and non-canonical miRNAs such as those derived from transposable elements and informs on high-confidence candidates that are detected in multiple independent samples. Analyzing data from seven animal species representing the major animal clades, miRDeep2 identified miRNAs with an accuracy of 98.6–99.9% and reported hundreds of novel miRNAs. To test the accuracy of miRDeep2, we knocked down the miRNA biogenesis pathway in a human cell line and sequenced small RNAs before and after. The vast majority of the >100 novel miRNAs expressed in this cell line were indeed specifically downregulated, validating most miRDeep2 predictions. Last, a new miRNA expression profiling routine, low time and memory usage and user-friendly interactive graphic output can make miRDeep2 useful to a wide range of researchers.
Subfields: Cancer Research, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/118ac217ae4826e7f1d6cdd711c805fda05f6846
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cancer Research
- Jiuyong Li
- Murray J. Cairns
- H. K. Khorram Khorshid
- Bing Liu
- K. Saliminejad
- S. Ghaffari
- Shahrzad Soleymani Fard
In Molecular Biology
- Jiuyong Li
- Murray J. Cairns
- H. K. Khorram Khorshid
- Bing Liu
- K. Saliminejad
- S. Ghaffari
- Shahrzad Soleymani Fard
Citations in the corpus
- Identifying miRNAs, targets and functions (2012, methodology): “Many algorithms, for example, miRScan [25], miRSeeker [26], miRank [27], miRDeep [28], miRDeep2 [29] and miRanalyzer [30], have been proposed.”
- Characterization of human plasma-derived exosomal RNAs by deep sequencing (2013, methodology): “To find novel miRNAs, we applied miRDeep2 and processed the raw sequencing data independently [47].”
- An overview of microRNAs: Biology, functions, therapeutics, and analysis methods (2018, background): “MiRDeep2 can identify both canonical and noncanonical miRNAs (Friedländer et al., 2012).”