Computational Prediction, Target Identification and Experimental Validation of miRNAs from Expressed Sequence Tags in Cannabis sativa L

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F15%3A00450457" target="_blank" >RIV/60077344:_____/15:00450457 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Computational Prediction, Target Identification and Experimental Validation of miRNAs from Expressed Sequence Tags in Cannabis sativa L
Original language description
MicroRNAs (miRNAs) are approximately 20-22 nucleotide non-coding RNAs, which play an important role in posttranscriptional degradation of target mRNA or inhibition of protein synthesis through binding the specific sites of target mRNA. miRNAs have been extensively studied in various plant species, however, there is no miRNA identified in Cannabis sativa, a crop which has long been used for hemp fibre, for seed and seed oils, for medicinal purposes, and as a recreational drug. In this study, a computational based approach was used to identify and characterize C. sativa miRNAs. A total of 7 miRNAs belonging to 3 miRNA families were identified in cannabis based on homolog search and series of filtering criteria. The identified miRNAs were validated by endpoint PCR and quantitative reverse transcription-polymerase chain reaction (qRT-PCR), confirmed the existence of conserved miRNAs in C. sativa.
Czech name
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Czech description
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Project
<a href="/en/project/GA13-03037S" target="_blank" >GA13-03037S: Combinatorial regulation and network of transcription factors involved in the biosynthesis of medicinal prenylflavonoids in hop (Humulus lupulus L.).</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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