Nucleocytoplasmic Shuttling of lgl2 Is Developmentally Regulated in Fetal Lung
Bibliographic record
Abstract
To investigate molecular mechanisms of lung organogenesis, we searched for glucocorticoid-inducible genes in developing lung. We cloned LGL2, a developmentally and hormonally regulated gene in fetal lung (Zhang, C., N. B. Sweezey, S. Gagnon, B. Muskat, D. Koehler, M. Post, and F. Kaplan. 2000. A novel karyopherin-beta homolog is developmentally and hormonally regulated in fetal lung. Am. J. Respir. Cell Mol. Biol. 22:451-459). A comparison of lgl2 protein to sequences in the genome database suggested that lgl2 is a nuclear transport receptor. We report on the functional characterization of lgl2 as an importin beta protein and on the developmental regulation of its nucleocytoplasmic shuttling in fetal lung. We investigated the subcellular localization and Ran-binding properties of lgl2 and its N- and C-terminal regions. We used fluorescence recovery after photobleaching and fluorescence loss in photobleaching to study nucleocytoplasmic shuttling of lgl2. We showed that N-terminal lgl2 supports shuttling at a reduced rate. We showed that the nucleocytoplasmic distribution of lgl2 favors the nucleus in fetal lung and that lgl2 enters the nucleus much more rapidly at fetal Day 18 than at Day 21. Total nuclear recovery of lgl2 was dramatically different at the two time points. Early in development, nuclear import of transcription factors in response to hormones and growth agonists regulates prominent signal transduction pathways that govern lung organogenesis. We speculate that lgl2 may be one important modulator of this process.
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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 | 0.001 | 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".