Predicting Speci c Protein Abundances and Translation E ciency in Yeast
| dc.contributor.advisor | Parts, Leopold, juhendaja | |
| dc.contributor.author | Kerner, Mark | |
| dc.contributor.other | Tartu Ülikool. Loodus- ja täppisteaduste valdkond | et |
| dc.contributor.other | Tartu Ülikool. Arvutiteaduse instituut | et |
| dc.date.accessioned | 2023-11-08T13:23:09Z | |
| dc.date.available | 2023-11-08T13:23:09Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | Protein abundances and production rates differ by several orders of magnitude among protein-coding genes. We show that speci c protein abundances can be modeled as a function of mRNA abundances, translation efficiency and protein turnover. We then match RNA sequence motifs of 21 RBPs on the untranslated regions of 774 target transcripts. We determine that the RNA sequence motifs on target transcripts untranslated regions do not predict variability in translation efficiency of these transcripts. We use yeast Saccharomyces cerevisiae as the model organism. | et |
| dc.identifier.uri | https://hdl.handle.net/10062/94115 | |
| dc.language.iso | eng | et |
| dc.publisher | Tartu Ülikool | et |
| dc.rights | openAccess | et |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | linear regression | et |
| dc.subject | sequence motifs | et |
| dc.subject | RNA-binding proteins | et |
| dc.subject | translation efficiency | et |
| dc.subject | protein abundance | et |
| dc.subject | Saccharomyces cerevisiae | et |
| dc.subject.other | bakalaureusetööd | et |
| dc.subject.other | informaatika | et |
| dc.subject.other | infotehnoloogia | et |
| dc.subject.other | informatics | et |
| dc.subject.other | infotechnology | et |
| dc.title | Predicting Speci c Protein Abundances and Translation E ciency in Yeast | et |
| dc.type | Thesis | et |