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Application of carborundum abrasion for investigating the leaf epidermis: molecular cloning of <i>Catharanthus roseus</i> 16‐hydroxytabersonine‐16‐<i>O</i>‐methyltransferase

2007· article· en· W1667651110 on OpenAlexafffund
Dylan Levac, Jun Murata, Won S. Kim, Vincenzo De Luca

Bibliographic record

VenueThe Plant Journal · 2007
Typearticle
Languageen
FieldMedicine
TopicBerberine and alkaloids research
Canadian institutionsAgriculture and Agri-Food CanadaBrock University
FundersNatural Sciences and Engineering Research Council of CanadaAlbert-Ludwigs-Universität Freiburg
KeywordsVindolineCatharanthus roseusEpidermis (zoology)BiologyBiochemistryBotanyVinblastineMolecular biologyGenetics

Abstract

fetched live from OpenAlex

The Madagascar periwinkle (Catharanthus roseus) produces the well-known and remarkably complex anti-cancer dimeric alkaloids vinblastine and vincristine that are derived from the coupling of vindoline and catharanthine monomers. This study describes the novel application of a carborundum abrasion (CA) technique for large-scale isolation of leaf epidermis-enriched proteins in order to purify to apparent homogeneity 16-hydroxytabersonine-16-O-methyltransferase (16OMT), which catalyses the second of six steps in the conversion of tabersonine into vindoline, and to clone the gene. Functional expression and biochemical characterization of recombinant 16OMT demonstrated its very narrow substrate specificity and high affinity for 16-hydroxytabersonine. In addition to allowing the cloning of this gene, the CA technique clearly showed that 16OMT is predominantly expressed in Catharanthus leaf epidermis. The results provide compelling evidence that most of the pathway for vindoline biosynthesis, including the O-methylation of 16-hydroxytabersonine, occurs exclusively in the leaf epidermis, with subsequent steps occurring in other leaf cell types.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.031
GPT teacher head0.310
Teacher spread0.279 · 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

Citations114
Published2007
Admission routes2
Has abstractyes

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