Purification of Plant-Derived Antibodies through Direct Immobilization of Affinity Ligands on Cellulose
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Plants possess enormous potential as factories for the large scale production of therapeutic reagents such as recombinant proteins and antibodies. A major factor limiting commercial advances of plant-derived pharmaceuticals is the cost and inefficiency of purification. As a model system, we have developed a simple yet robust method for immobilizing affinity capture ligands onto solid supports by interfacing the secreted expression and coupling of a chimeric fusion protein in Pichia pastoris to microcrystalline cellulose in a single step. The fusion protein, which consisted of antibody-binding proteins L and G fused to a cellulose-binding domain (LG-CBD), was tethered directly onto cellulose resins added to P. pastoris cultures and subsequently used for antibody purification. Both the antibody-binding protein L and protein G domains were functional, as demonstrated by the ability of cellulose-immobilized LG-CBD to purify both a scFv antibody fragment from yeast and a human IgG1 monoclonal antibody from transgenic tobacco. Furthermore, combining two P. pastoris strains expressing LG-CBD and scFv with CP-102 cellulose in a single culture allowed for easy recovery of biologically active scFv. Direct immobilization of affinity purification ligands, such as LG-CBD, onto inexpensive support matrices such as cellulose is an effective method for the generation of functional, single-use antibody purification reagents. Straightforward preparation of purification reagents will help make antibody purification from genetically modified crop plants feasible and address one of the major bottlenecks facing commercialization of plant-derived pharmaceuticals.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it