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Record W3157831860

Regulating gene expression through targeted RNA modification

2018· article· en· W3157831860 on OpenAlexaff
Keara Cheredaryk, Dominic P. Czekay, Ute Kothe

Bibliographic record

VenueURSCA Proceedings · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsPseudouridineBiologyRNAGuide RNAGeneStop codonGeneticsUridineBiochemistryGenomeGenome editing
DOInot available

Abstract

fetched live from OpenAlex

Pseudouridylation refers to the isomerization of uridine to pseudouridine in RNA and is catalyzed by enzymes known as pseudouridine synthases. In eukaryotes, pseudouridylation of rRNA is primarily directed by a complex of proteins and a box H/ACA guide RNA. The guide RNA specifies a target by forming transient base pair interactions on either side of the target uridine, although other standalone pseudouridine synthases may employ different targeting mechanisms. With this project, we aim to modify naturally occurring guide RNAs to allow for specific targeting in a location different from the original. Pseudouridylation of a premature stop codon in mRNA results in translational readthrough and production of a functional protein. Here, we utilize the CUP1 gene from baker’s yeast as a model gene to be targeted by pseudouridylation that enables survival in the presence of high copper concentrations. First, we have generated and purified two guide RNAs never previously worked with in our lab to test their effectiveness at targeting a specific uridine. Also, the proteins associating with these H/ACA guide RNAs have been expressed and purified for biochemical investigations. Second, a premature stop codon was introduced at the ninth codon of the CUP1 gene (Q9UAA). As a control to mimic the presence of a pseudouridylated stop codon, we have generated the mutants cup1p(Q9S) and cup1p(Q9T) mimicking readthrough of the premature stop codon and tested their ability to chelate copper in vivo. Interestingly, these experiments revealed that not all premature stop codons can be rescued by pseudouridylation. Current work focuses on the insertion of test sequences harboring premature termination codons upstream of CUP1. These test sequences are predicted to be targeted by known pseudouridine synthases. Ultimately, this experimental system will identify which sequences harboring premature stop codons can be targeted by pseudouridylation to re-activate gene expression. This new system to regulate gene expression has applications in bioengineering and possibly the treatment of inherited diseases resulting from mutations that cause premature stop codons. *Indicates presenter

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.277
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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