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Record W1964335041 · doi:10.1093/nar/gkt265

Exploring mRNA 3′-UTR G-quadruplexes: evidence of roles in both alternative polyadenylation and mRNA shortening

2013· article· en· W1964335041 on OpenAlexafffund
Jean-Denis Beaudoin, Jean‐Pierre Perreault

Bibliographic record

VenueNucleic Acids Research · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsUniversité de Sherbrooke
FundersCanadian Institutes of Health Research
KeywordsBiologyPolyadenylationThree prime untranslated regionUntranslated regionMessenger RNAmicroRNAGeneRNATranscriptomeGeneticsGene expressionCell biologyComputational biology

Abstract

fetched live from OpenAlex

Guanine-rich RNA sequences can fold into non-canonical, four stranded helical structures called G-quadruplexes that have been shown to be widely distributed within the mammalian transcriptome, as well as being key regulatory elements in various biological mechanisms. That said, their role within the 3'-untranslated region (UTR) of mRNA remains to be elucidated and appreciated. A bioinformatic analysis of the 3'-UTRs of mRNAs revealed enrichment in G-quadruplexes. To shed light on the role(s) of these structures, those found in the LRP5 and FXR1 genes were characterized both in vitro and in cellulo. The 3'-UTR G-quadruplexes were found to increase the efficiencies of alternative polyadenylation sites, leading to the expression of shorter transcripts and to possess the ability to interfere with the miRNA regulatory network of a specific mRNA. Clearly, G-quadruplexes located in the 3'-UTRs of mRNAs are cis-regulatory elements that have a significant impact on gene expression.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.231
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.125
GPT teacher head0.367
Teacher spread0.242 · 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 teacher head, 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

Citations168
Published2013
Admission routes2
Has abstractyes

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