Univerza na Primorskem
Fakulteta za matematiko, naravoslovje in informacijske tehnologije
Več informacij o projektu / More info about the project
Opis / Description
SLO:
Vstopamo v obdobje hitrega razvoja vrhunske tehnologije. Razvoj se je začel z masovno transkriptomiko, nadaljeval z epigenomiko, transkriptomiko posamezne celice, multiomiko in zdaj z epitranskriptomiko. Krožne RNK (circRNA) so fascinanten in nov razred RNK z edinstvenimi strukturnimi in funkcionalnimi lastnostmi, ki so ključni predmet epitranskriptomike. Njihova vloga in funkcija sta se šele začeli raziskovati, kar odpira široko polje novih raziskav.
S projektom želimo raziskati epitranskripcijske vplive na izgubo mišične mase in moči pri starejših odraslih. Z analizo krožne RNA (circRNA) v mišičnem tkivu oseb z normalno in zmanjšano mišično maso se želimo osredotočiti na regulatorne vidike teh molekul. Raziskava predstavlja nadgradnjo prejšnjih študij raziskovalke na področju epigenomike (snATAC-seq) in transkriptomike (snRNA-seq) v mišičnem tkivu.
Cilji projekta vključujejo karakterizacijo profilov circRNA z identifikacijo in kvantifikacijo circRNA v mišičnem tkivu. Dodatno bo raziskana povezava interakcij circRNA s podatki iz snATAC-seq in snRNA-seq in s tem integracija funkcionalne vloge circRNA v mišični biologiji.
Metodologija obsega izolacijo RNA, pripravo knjižnice za sekvenciranje, bioinformatično analizo podatkov in eksperimentalno validacijo ključnih ugotovitev. Projekt bo izboljšal razumevanje regulativnih mehanizmov circRNA, kar bo imelo potencialne klinične aplikacije pri zdravljenju mišičnih bolezni. Raziskovalka bo pridobila napredna znanja na področju sekvenciranja RNA in bioinformatike, kar bo okrepilo njeno raziskovalno kariero.
EN:
We are entering an era of rapid development of cutting-edge technologies. This development began with bulk transcriptomics, continued with epigenomics, single-cell transcriptomics, and multiomics, and has now progressed to epitranscriptomics. Circular RNAs (circRNAs) are a fascinating and novel class of RNAs with unique structural and functional properties that represent a key subject of epitranscriptomics. Their roles and functions have only recently begun to be investigated, opening up a broad field of new research opportunities.
With this project, we aim to investigate epitranscriptional influences on the loss of muscle mass and strength in older adults. By analyzing circular RNA (circRNA) in muscle tissue from individuals with normal and reduced muscle mass, we aim to focus on the regulatory aspects of these molecules. The study represents an extension of the researcher’s previous work in the fields of epigenomics (snATAC-seq) and transcriptomics (snRNA-seq) in muscle tissue.
The objectives of the project include the characterization of circRNA profiles through the identification and quantification of circRNAs in muscle tissue. In addition, the associations and interactions of circRNAs with data from snATAC-seq and snRNA-seq will be investigated, thereby integrating the functional role of circRNAs into muscle biology.
The methodology will comprise RNA isolation, sequencing library preparation, bioinformatic data analysis, and experimental validation of key findings. The project will improve our understanding of the regulatory mechanisms of circRNAs, with potential clinical applications in the treatment of muscle diseases. The researcher will acquire advanced knowledge in RNA sequencing and bioinformatics, thereby strengthening her research career.
With this project, we aim to investigate epitranscriptional influences on the loss of muscle mass and strength in older adults. By analyzing circular RNA (circRNA) in muscle tissue from individuals with normal and reduced muscle mass, we aim to focus on the regulatory aspects of these molecules. The study represents an extension of the researcher’s previous work in the fields of epigenomics (snATAC-seq) and transcriptomics (snRNA-seq) in muscle tissue.
The objectives of the project include the characterization of circRNA profiles through the identification and quantification of circRNAs in muscle tissue. In addition, the associations and interactions of circRNAs with data from snATAC-seq and snRNA-seq will be investigated, thereby integrating the functional role of circRNAs into muscle biology.
The methodology will comprise RNA isolation, sequencing library preparation, bioinformatic data analysis, and experimental validation of key findings. The project will improve our understanding of the regulatory mechanisms of circRNAs, with potential clinical applications in the treatment of muscle diseases. The researcher will acquire advanced knowledge in RNA sequencing and bioinformatics, thereby strengthening her research career.