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Record W149665635 · doi:10.1007/978-1-59745-440-7_2

Transcription and the Control of Gene Expression

2008· book-chapter· en· W149665635 on OpenAlexaff
Nadine Wiper‐Bergeron, Ilona S. Skerjanc

Bibliographic record

VenueHumana Press eBooks · 2008
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Chromatin Dynamics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsEnhancerRNA polymerase IIPromoterTranscription (linguistics)ChromatinBiologyEnhancer RNAsGeneral transcription factorEukaryotic transcriptionActivator (genetics)Gene expressionGeneTranscription factor II DTranscription preinitiation complexCell biologyMolecular biologyGenetics

Abstract

fetched live from OpenAlex

Transcription, the initial step of gene expression is a tightly regulated process. In addition to variability in the core promoter region of the RNA polymerase II transcribed genes, which can stabilize or destabilize the basal machinery and influence transcription rates, promoters contain enhancer regions which can be far upstream from the gene transcribed. These enhancers and their DNA binding factors are highly variable and can lead to the recruitment of unique co-activator complexes that can influence the initiation and progression of the polymerase through the nucleosomal structure of chromatin. In essence then, every promoter becomes a unique microenvironment, the sum of several enhancer elements, core promoter elements and chromatin structure. The gene’s transcription rate is then dependent on the efficiency of these interactions – an average of the effects of each enhancer and co-activator leading to a fine tuning of transcriptional responses according to cellular needs. It is therefore not surprising that transcription is the major checkpoint for gene expression in the cell. The next step for the new mRNA molecule is post-transcriptional modification, which augments the stability of the messenger mRNA export to the cytoplasm (in eukaryotes) and translation into proteins.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.783
Threshold uncertainty score0.604

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.017
GPT teacher head0.205
Teacher spread0.188 · 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
GenreOther

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

Citations3
Published2008
Admission routes1
Has abstractyes

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