pTARGEX vectors: a versatile toolbox for plant-based protein expression
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.010 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".