Human pluripotent stem cell modeling of tuberous sclerosis complex reveals lineage-specific therapeutic vulnerabilities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
SUMMARY mTORC1 hyperactivation resulting from inactivating TSC2 mutations underlie the multi-system tumor disorder tuberous sclerosis complex (TSC) and the rare pulmonary neoplasm lymphangioleiomyomatosis (LAM). Mutation-bearing neural precursor cells (NPCs) lead to the formation of TSC brain tumors during development, while the cell of origin of TSC mesenchymal tumors such as LAM is unknown. We report the first model of multi-system TSC cell types, characterized by NPCs and neural crest cells (NCCs) differentiated in parallel from multiple engineered TSC2 −/− human pluripotent stem cell (hPSC) lines. These cells successfully model defining phenotypes of neural and mesenchymal TSC, with transcriptomic signatures reflecting those observed in patient tumors, thus establishing TSC2 −/− NCCs as a powerful model of LAM. Employing this rich cellular and transcriptomic resource, we identified lineage-specific catabolic signaling mechanisms that drive divergent cell behavior and therapeutic sensitivities that, in turn, demonstrate the power of employing lineage-specific stem cell models to dissect multi-system diseases.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it