Production of Domain 9 from the cation-independent mannose-6-phosphate receptor fused with an Fc domain
Bibliographic record
Abstract
Abstract Lysosomal storage diseases (LSDs) are genetic disorders caused by mutations in lysosomal enzymes, lysosomal membrane proteins or genes related to intracellular transport that result in impaired lysosomal function. Currently, the primary treatment for several LSDs is enzyme replacement therapy (ERT), which involves intravenous administration of the deficient lysosomal enzymes to ameliorate symptoms. The efficacy of ERT largely depends on the mannose-6-phosphate (M6P) modification of the N-glycans associated with the enzyme, as M6P is a marker for the recognition and trafficking of lysosomal enzymes. In cells, N-glycan processing and M6P modification occur in the endoplasmic reticulum and Golgi apparatus. This is a complex process involving multiple enzymes. In the trans-Golgi network (TGN), M6P-modified enzymes are recognized by the cation-independent mannose-6-phosphate receptor (CIMPR) and transported to the lysosome to exert their activities. In this study, we used the 9th domain of CIMPR, which exhibits a high affinity for M6P binding, and fused it with the Fc domain of human immunoglobulin G 1 (IgG 1 ). The resulting fusion protein specifically binds to M6P-modified proteins. This provides a tool for the rapid detection and concentration of M6P-containing recombinant enzymes to assess the effectiveness of ERT. The advantages of this approach include its high specificity and sensitivity and may lead to the development of new treatments for LSDs.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".