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Record W2053301861 · doi:10.5661/bger-25-77

Gene Expression – Time to Change Point of View?

2008· review· en· W2053301861 on OpenAlexaff
Ola Larsson, Robert Nadon

Bibliographic record

VenueBiotechnology and Genetic Engineering Reviews · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsMcGill UniversityMcGill University and Génome Québec Innovation Centre
FundersUniversity of California, Davis
KeywordsRibosome profilingTranslational regulationBiologyRibosomeGene expressionTranslation (biology)Regulation of gene expressionGeneGeneticsTranscriptional regulationComputational biologyPost-transcriptional regulationProtein biosynthesisCell biologyMessenger RNARNA

Abstract

fetched live from OpenAlex

Analysis of transcription profiles has been the focus of genome wide characterization of gene expression during the last decade. Downstream of transcription, regulation of translation represents a less explored step in the gene expression pathway. Differential translation can be caused by differential ribosome recruitment, translational elongation or termination although the ribosome recruitment step is thought to be the major source of differential translation. Genome wide studies of differential translation through analysis of ribosome recruitment in a variety of model systems indicate better correlation to protein levels as compared to transcriptional regulation. These studies also indicate translational control as a major transcript specific regulation step. Here we review the current literature on genome wide regulation of ribosome recruitment. We conclude that without considering regulation of ribosome recruitment, important information regarding the links between gene expression and protein levels is lost and that ribosome recruitment will be an integral part of a systems level understanding for regulation of 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.022
GPT teacher head0.254
Teacher spread0.231 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations11
Published2008
Admission routes1
Has abstractyes

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