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Record W4413799227 · doi:10.3389/fsybi.2025.1619871

pTARGEX vectors: a versatile toolbox for plant-based protein expression

2025· article· en· W4413799227 on OpenAlexafffund
Camille Chartrand-Pleau, Emily Gallipeau-Burns, Victor Boddy, Patrick Fakhouri, Sarah Rehmani, Michelle Drapeau, Jordan T. VanderBurgt, Arnaud Boudigou, Adam M. Damry, Allyson M. MacLean

Bibliographic record

VenueFrontiers in Synthetic Biology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTransgenic Plants and Applications
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaUniversities Space Research AssociationUniversity of Ottawa
KeywordsmCherryBiologySubcellular localizationExpression vectorComputational biologyHeterologous expressionEndoplasmic reticulumSynthetic biologyChloroplastCytoplasmGreen fluorescent proteinTransformation (genetics)Cell biologyGeneBiochemistryRecombinant DNA

Abstract

fetched live from OpenAlex

The ability to express heterologous proteins in specific plant tissues and subcellular compartments is critical for advancing plant-based biotechnologies and biopharming research. Here, we present the “pTARGEX” series, a versatile toolkit designed to enable targeted protein expression within the leaves and roots of plants. These vectors incorporate subcellular targeting sequences to direct proteins of interest to the apoplast (pTARGEX-APO), cytoplasm (pTARGEX-CYT), chloroplast (pTARGEX-CHL), endoplasmic reticulum (pTARGEX-ER), or vacuole (pTARGEX-VAC). Streamlining workflow, the pTARGEX vectors encode an mCherry dropout cassette with a SapI restriction enzyme site to enable red/white screening in Escherichia coli , and an eGFP reporter gene that is constitutively expressed in planta to serve as an inbuilt marker for monitoring of successful transformation. This innovative vector series offers users an accessible, versatile platform for plant-based heterologous protein production, facilitating research and applications in systems biology, synthetic biology, and plant biotechnology.

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: none
Teacher disagreement score0.512
Threshold uncertainty score0.460

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 head0.007
GPT teacher head0.244
Teacher spread0.237 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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