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Record W234330223 · doi:10.1385/1-59259-750-5:155

An Efficient System for Cap- and Poly(A)-Dependent Translation In Vitro

2004· article· en· W234330223 on OpenAlexafffund
Yuri V. Svitkin, Nahum Sonenberg

Bibliographic record

VenueHumana Press eBooks · 2004
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Immunology Research
Canadian institutionsMcGill University
FundersNational Institute of General Medical SciencesMinisterio de Educación y CulturaFritz Thyssen StiftungDeutsche ForschungsgemeinschaftW. M. Keck FoundationWellcome TrustCharles A. King TrustLeukemia and Lymphoma SocietyMinisterul Educaţiei NaţionaleU.S. Department of DefenseNational Institutes of HealthCanadian Institutes of Health ResearchNational Science Foundation
KeywordsEIF4GPoly(A)-binding proteinEIF4EMessenger RNATranslation (biology)Protein biosynthesisNucleaseCell biologyEukaryotic translationIn vitroMolecular biologyBiologyChemistryBiochemistryGene

Abstract

fetched live from OpenAlex

The 3' poly(A) tail of eukaryotic messenger RNAs (mRNAs) acts synergistically with the 5' cap structure to enhance translation. This phenomenon has been explained by the simultaneous binding of poly(A)-binding protein (PABP) and a cap-binding protein (eIF4E) to eIF4G that results in the circularization of the mRNA (closed-loop model). We developed a robust cell-free protein synthesis system to study poly(A)-dependent translation. In nuclease-treated extracts of Krebs-2 ascites cells, the mRNA poly(A) tail and the cap structure synergistically stimulate translation. We also describe an efficient procedure for depleting PABP from translation extracts. Greater than 98% of PABP can be depleted from extracts by preincubation with either of the PABP-interacting proteins (Paip2 or Paip1) coupled to beads, and these depleted extracts fail to support efficient translation of poly(A)+ mRNAs. Translation activity is restored to depleted extracts by the addition of recombinant PABP.

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)0.001
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.003

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 head0.073
GPT teacher head0.340
Teacher spread0.268 · 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

Citations80
Published2004
Admission routes2
Has abstractyes

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