Identification of secreted and membrane proteins in the rat incisor enamel organ using a signal‐trap screening approach
Bibliographic record
Abstract
The secretome represents the subset of proteins that are targeted by signal peptides to the endoplasmic reticulum. Among those, secreted proteins play a pivotal role because they regulate determinant cell activities such as differentiation and intercellular communication. In calcified tissues, they also represent key players in extracellular mineralization. This study was carried out to establish a secretome profile of rat enamel organ (EO) cells. A functional genomic technology, based on the signal trap methodology, was applied, starting with a library of 5'-enriched cDNA fragments prepared from rat incisor EOs. A total of 2,592 clones were analyzed by means of macroarray hybridizations and DNA sequencing. Ninety-four unique clones encoding a signal peptide were retrieved. Among those were 84 matched known genes, many not previously reported to be expressed by the EO. Most importantly, 10 clones were classified as being novel, with EO-009 identified as the rat homolog of human APin protein. These data indicate that many secreted and membrane-embedded EO proteins still remain to be identified, some of which may play crucial roles in regulating processes that create an optimal environment for the formation and organization of apatite crystals into a complex three-dimensional calcified matrix.
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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 | 0.000 | 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 | 0.000 |
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".