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Naslov:Methodologies for discovery and quantitative profiling of sRNAs in potato
Avtorji:ID Križnik, Maja (Avtor)
ID Zagorščak, Maja (Avtor)
ID Gruden, Kristina (Avtor)
Datoteke:.pdf PDF - Predstavitvena datoteka, prenos (1,17 MB)
MD5: F0DA6D3450D8B48289FF39A52B51B80A
 
URL URL - Izvorni URL, za dostop obiščite https://link.springer.com/protocol/10.1007/978-1-0716-1609-3_11
 
Jezik:Angleški jezik
Tipologija:1.16 - Samostojni znanstveni sestavek ali poglavje v monografski publikaciji
Organizacija:Logo NIB - Nacionalni inštitut za biologijo
Povzetek:Small RNAs (sRNAs) are short noncoding RNAs involved in the regulation of a wide range of biological processes in plants. Advances in high-throughput sequencing and development of new computational tools had facilitated the discovery of different classes of sRNAs, their quantification, and elucidation of their functional role in gene expression regulation by target transcript predictions. The workflow presented here allows identification of different sRNA species: known and novel potato miRNAs, and their sequence variants (isomiRs), as well as identification of phased small interfering RNAs (phasiRNAs). Moreover, it includes steps for differential expression analysis to search for regulated sRNAs across different tested biological conditions. In addition, it describes two different methods for predicting sRNA targets, in silico prediction, and degradome sequencing data analysis. All steps of the workflow are written in a clear and user-friendly way; thus they can be followed also by the users with minimal bioinformatics knowledge. We also included several in-house scripts together with valuable notes to facilitate data (pre)processing steps and to reduce the analysis time.
Status publikacije:Objavljeno
Verzija publikacije:Recenzirani rokopis
Datum objave:01.01.2021
Leto izida:2021
Št. strani:str. 221-260
PID:20.500.12556/DiRROS-23222 Novo okno
UDK:632
COBISS.SI-ID:76787203 Novo okno
Datum objave v DiRROS:06.08.2025
Število ogledov:386
Število prenosov:178
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del monografije

Naslov:Solanum tuberosum : methods and protocols
Uredniki:David Dobnik, Kristina Gruden, Živa Ramšak, Anna Coll Rius
Kraj izida:New York
Založnik:Humana Press
ISBN:978-1-0716-1608-6
COBISS.SI-ID:74599171 Novo okno
Naslov zbirke:Methods in molecular biology
Številčenje v zbirki:2354
ISSN zbirke:1064-3745

Gradivo je financirano iz projekta

Financer:EC - European Commission
Program financ.:EU Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement
Številka projekta:GA 2020 862-858
Naslov:Accelerated Development of multiple-stress tolerAnt PoTato
Akronim:ADAPT

Licence

Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:rastline, krompir, identifikacija, sekveniranje, izražanje, napoved tarč, analiza malih RNA


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