Cloning and characterization of E‐dlg, a novel splice variant of mouse homologue of the <i>Drosophila</i> discs large tumor suppressor binds preferentially to SAP102
Bibliographic record
Abstract
Membrane-associated guanylate kinases (MAGUKs) act as scaffolds to coordinate signaling events through their multiple domains at the plasma membrane. The MAGUK SH3 domain is noncanonical and its function remains unclear. To identify potential binding partners of MAGUK SH3, the synapse-associated protein 102 (SAP102) SH3 domain was used as bait in a yeast two-hybrid screen of a mouse embryonic cDNA library. A mouse homologue of the Drosophila discs large tumor suppressor (Dlg, also known as SAP97) bound preferentially to SAP102 SH3. The 4347bp cDNA sequence encoded an 893 amino acid protein with 94% identity to mouse SAP97. A deleted region (33-aa) strongly suggests this is a novel splice variant, which we call Embryonic-dlg/SAP97 (E-dlg). The interaction of SAP102 and E-dlg was confirmed in mammalian cells. E-dlg can also bind to potassium channel Kv1.4 in a pull-down assay. E-dlg was highly expressed in embryonic and some adult mouse tissues, such as brain, kidney, and ovary. Furthermore, in situ hybridization showed that E-dlg was mostly expressed in olfactory bulb and cerebellum.
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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 | 0.001 |
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".