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Record W2483222729 · doi:10.1134/s1021443716050204

Production of proinsulin in marker-free transgenic tobacco plants using CRE/loxP system

2016· article· en· W2483222729 on OpenAlexaff
Lei Zheng, Zhenying Peng, Qingguo Jiao, Y. Wang, Fei Bian, Shaohong Qu, Shubo Wan, Yuping Bi

Bibliographic record

VenueRussian Journal of Plant Physiology · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTransgenic Plants and Applications
Canadian institutionsMinistry of Agriculture
FundersNatural Science Foundation of Shandong Province
KeywordsCre recombinaseProinsulinBiologyTransgeneSelectable markerTransformation (genetics)Nicotiana tabacumGeneGenetically modified cropsArabidopsisAgrobacteriumGeneticsRecombinaseMolecular biologyBiotechnologyGenetically modified mouseRecombinationInsulinMutant

Abstract

fetched live from OpenAlex

The demand for INSULIN is increasing rapidly along with the increased number of diabetic patients. Using the CRE /loxP system, we developed a selective marker-free system without crossing to produce PROINSULIN in transgenic plant. In frame of this approach, the induced promoter pRD29A was isolated from Arabidopsis . The CRE recombinase gene was placed under the control of pRD29A between two loxP recombination sites together with the selective NPTII gene. Furthermore, the binary vector with CRE recombinase and PROINSULIN was constructed and introduced into tobacco ( Nicotiana tabacum L.) by Agrobacterium -mediated transformation. Gene excision was used to remove the sequence between the two loxP sites at the presence of 200 mM NaCl. PCR analysis showed that self-excision occurred in several T 0 transgenic plants. Transgenic plants without any marker gene successfully expressed PROINSULIN. This auto-excision strategy provides efficient means of removing the selectable marker gene from transgenic plants. It is an efficient method for producing bio-safe recombinant protein and other valuable substances in plants.

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 score0.179
Threshold uncertainty score0.348

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 head0.013
GPT teacher head0.231
Teacher spread0.218 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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