Lysosome-associated protein transmembrane 4α (LAPTM4α) requires two tandemly arranged tyrosine-based signals for sorting to lysosomes
Bibliographic record
Abstract
Lysosome-associated protein transmembrane 4 alpha (LAPTM4 alpha) and homologues comprise a family of conserved proteins, which are found in mammals, insects and nematodes. LAPTM4 alpha functions to regulate the intracellular compartmentalization of amphipathic solutes and possibly the sensitivity of cells toward anthracyclines, antibiotics, ionophores, nucleobases and organic cations. This is similar to the multidrug-resistance phenotype exhibited by cells synthesizing high levels of P-glycoprotein. Accordingly, it is possible that LAPTM4 alpha may be a suitable target for development of novel chemotherapeutic agents. LAPTM4 alpha contains four putative membrane-spanning domains and a 55 amino acid C-terminal region that faces the cytoplasm. Localization of LAPTM4 alpha to endosomes and lysosomes appears to be tightly controlled as transient high-level expression of LAPTM4 alpha in cultured cells resulted in no detectable protein on the cell surface. Mutagenic analysis of the C-terminus of LAPTM4 alpha indicated that two tandomly arranged tyrosine-containing motifs in the cytoplasmic domain are required for efficient localization of LAPTM4 alpha to vesicles containing the lysosomal marker lysosomal glycoprotein 120. Although a number of membrane proteins that localize to endosomes/lysosomes contain more than one independently functioning sorting signal, to our knowledge, LAPTM4 alpha is the first example of a membrane protein that requires two tandemly arranged tyrosine-based sorting signals for efficient localization in these compartments.
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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".