Cell membrane glycoconjugates on virulent and avirulent strains of the haemoflagellate <i>Cryptobia salmositica</i> (Kinetoplastida)
Bibliographic record
Abstract
The glycoconjugates on the cell membranes of Cryptobia salmositica (virulent and avirulent strains) were analysed using 13 highly purified lectins. The virulent strain of C. salmositica was agglutinated by two of these lectins (Concanavalin A (Con A) Canavalia ensiformis, specific for α‐mannose and α‐D‐glucosyl residues; Pisum sativau agglutinin (PSA), specific for N‐acetyl α‐D‐galactosaminyl) but the avirulent strain of C. salmositica was agglutinated by 11 lectins. No agglutination of C. salmositica (virulent and avirulent strains) was observed with lectin Tetragonolobus purpureas agglutinin (TPA, specific for α‐L‐fucose). Glycoprotein analysis with digoxigenin or biotin labelled lectins showed strain specific staining patterns for C. salmositica; with the avirulent strain showing stronger reactions than the virulent strain. These results indicate that the surface carbohydrate residues changed with attenuation of the pathogen and this change may be related to its loss of virulence.
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) | 0.000 | 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 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".