Computational exploration of microRNAs from expressed sequence tags of Humulus lupulus, target predictions and expression analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F15%3A00450271" target="_blank" >RIV/60077344:_____/15:00450271 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.compbiolchem.2015.09.005" target="_blank" >http://dx.doi.org/10.1016/j.compbiolchem.2015.09.005</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.compbiolchem.2015.09.005" target="_blank" >10.1016/j.compbiolchem.2015.09.005</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Computational exploration of microRNAs from expressed sequence tags of Humulus lupulus, target predictions and expression analysis

Popis výsledku v původním jazyce

Among computationally predicted and experimentally validated plant miRNAs, several are conserved across species boundaries in the plant kingdom. In this study, a combined experimental-in silico computational based approach was adopted for the identification and characterization of miRNAs in Humulus lupulus (hop), which is widely cultivated for use by the brewing industry and apart from, used as a medicinal herb. A total of 22 miRNAs belonging to 17 miRNA families were identified in hop following comparative computational approach and EST-based homology search according to a series of filtering criteria. Selected miRNAs were validated by end-point PCR and quantitative reverse transcription- polymerase chain reaction (qRT-PCR), confirmed the existence ofconserved miRNAs in hop. Based on the characteristic that miRNAs exhibit perfect or nearly perfect complementarity with their targeted mRNA sequences, a total of 47 potential miRNA targets were identified in hop.

Název v anglickém jazyce

Computational exploration of microRNAs from expressed sequence tags of Humulus lupulus, target predictions and expression analysis

Popis výsledku anglicky

Among computationally predicted and experimentally validated plant miRNAs, several are conserved across species boundaries in the plant kingdom. In this study, a combined experimental-in silico computational based approach was adopted for the identification and characterization of miRNAs in Humulus lupulus (hop), which is widely cultivated for use by the brewing industry and apart from, used as a medicinal herb. A total of 22 miRNAs belonging to 17 miRNA families were identified in hop following comparative computational approach and EST-based homology search according to a series of filtering criteria. Selected miRNAs were validated by end-point PCR and quantitative reverse transcription- polymerase chain reaction (qRT-PCR), confirmed the existence ofconserved miRNAs in hop. Based on the characteristic that miRNAs exhibit perfect or nearly perfect complementarity with their targeted mRNA sequences, a total of 47 potential miRNA targets were identified in hop.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EB - Genetika a molekulární biologie

OECD FORD obor

—

Projekt

<a href="/cs/project/GA13-03037S" target="_blank" >GA13-03037S: Kombinační regulace a regulační síť transkripčních faktorů účastnících se biosyntézy ozdravných prenylflavonoidů chmelu (Humulus lupulus L.).</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Computational Biology and Chemistry

ISSN

1476-9271

e-ISSN

—

Svazek periodika

59

Číslo periodika v rámci svazku

December 2015

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

11

Strana od-do

131-141

Kód UT WoS článku

000367633900016

EID výsledku v databázi Scopus

2-s2.0-84944315332