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A recombinant<i>Mycobacterium tuberculosis in vitro</i>transcription system

2005· article· en· W2011894409 on OpenAlexafffund
Jean-François Jacques, Sébastien Rodrigue, Ryszard Brzeziński, Luc Gaudreau

Bibliographic record

VenueFEMS Microbiology Letters · 2005
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsUniversité de Sherbrooke
FundersNational Science CouncilCanada Research ChairsCanadian Lung Association
KeywordsRNA polymeraseRecombinant DNATranscription (linguistics)BiologySigma factorPolymeraseMycobacterium tuberculosisMolecular biologyRNA polymerase IIGeneGene expressionEscherichia coliPromoterGeneticsTuberculosisMedicine

Abstract

fetched live from OpenAlex

In vitro transcription constitutes an important tool in the study of the regulation of gene expression. Here, we present a fast and easy procedure to prepare Mycobacterium tuberculosis RNA polymerase for in vitro transcription assays. RNA polymerase is assembled from recombinant proteins expressed in Escherichia coli, thus eliminating the need for biosafety containment facilities, and is mixed with any of the 13 M. tuberculosissigma factors. We show that the recombinant RNA polymerase is free from contaminating sigma factors, produces transcriptional start sites matching those characterized in vivo and allows the formal identification of sigma factors involved in the expression of genes of interest.

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)0.000
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 score0.487
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.014
GPT teacher head0.257
Teacher spread0.244 · 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

Citations40
Published2005
Admission routes2
Has abstractyes

Explore more

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