Monoclonal C5‐1 antibody produced in transgenic alfalfa plants exhibits a N‐glycosylation that is homogenous and suitable for glyco‐engineering into human‐compatible structures
Bibliographic record
Abstract
Structural analysis of the N-glycosylation of alfalfa proteins was investigated in order to evaluate the capacity of this plant to perform this biologically important post-translational modification. We show that, in alfalfa, N-linked glycans are processed into a large variety of mature oligosaccharides having core-xylose and core alpha(1,3)-fucose, as well as terminal Lewis(a) epitopes. In contrast, expression of the C5-1 monoclonal antibody in alfalfa plants results in the production of plant-derived IgG1 which is N-glycosylated by a predominant glycan having a alpha(1,3)-fucose and a beta(1,2)-xylose attached to a GlcNAc2Man3GlcNAc2 core. Since this core is common to plant and mammal N-linked glycans, it therefore appears that alfalfa plants have the ability to produce recombinant IgG1 having a N-glycosylation that is suitable for in vitro or in vivo glycan remodelling into a human-compatible plantibody. For instance, as proof of concept, in vitro galactosylation of the alfalfa-derived C5-1 mAb resulted in a homogenous plantibody harbouring terminal beta(1,4)-galactose residues as observed in the mammalian IgG.
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 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 | 0.000 | 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) | 0.001 | 0.001 |
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".