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Cdk7 Is Required for Full Activation of <i>Drosophila</i> Heat Shock Genes and RNA Polymerase II Phosphorylation In Vivo

2003· article· en· W2161073626 on OpenAlexaff
Brian E. Schwartz, Stéphane Larochelle, Beat Suter, John T. Lis

Bibliographic record

VenueMolecular and Cellular Biology · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsMcGill University
FundersNational Institute of General Medical SciencesNational Institutes of Health
KeywordsBiologyTranscription factor II HRNA polymerase IICyclin-dependent kinase 7RNA polymerase IIIMolecular biologyRNA polymerase II holoenzymeTranscription (linguistics)Cell biologyPolytene chromosomeTranscription factor II APromoterRNA polymeraseGene expressionGeneticsGeneRNAPhosphorylationProtein kinase ACyclin-dependent kinase 2Drosophila melanogaster

Abstract

fetched live from OpenAlex

TFIIH has been implicated in several fundamental cellular processes, including DNA repair, cell cycle progression, and transcription. In transcription, the helicase activity of TFIIH functions to melt promoter DNA; however, the in vivo function of the Cdk7 kinase subunit of TFIIH, which has been hypothesized to be involved in RNA polymerase II (Pol II) phosphorylation, is not clearly understood. Using temperature-sensitive and null alleles of cdk7, we have examined the role of Cdk7 in the activation of Drosophila heat shock genes. Several in vivo approaches, including polytene chromosome immunofluorescence, nuclear run-on assays, and, in particular, a protein-DNA cross-linking assay customized for adults, revealed that Cdk7 kinase activity is required for full activation of heat shock genes, promoter-proximal Pol II pausing, and Pol II-dependent chromatin decondensation. The requirement for Cdk7 occurs very early in the transcription cycle. Furthermore, we provide evidence that TFIIH associates with the elongation complex much longer than previously suspected.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.564

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 head0.010
GPT teacher head0.246
Teacher spread0.236 · 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

Citations64
Published2003
Admission routes1
Has abstractyes

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