Spectrin coordinates cell shape and signaling essential for epidermal differentiation
Bibliographic record
Abstract
Abstract Cell shape and fate are tightly linked, yet how the cortical cytoskeletal integrates regulation of shape and fate remains unclear. Using the epidermis as a paradigm where cell shape changes guide differentiation we identify spectrin as an essential organizer of the keratinocyte actomyosin cortex that integrates transitions in cell shape with spatial organization of signaling. Loss of αII-spectrin ( Sptan1 ) in the mouse epidermis altered cell shape in all layers and impaired differentiation, and barrier formation. High-resolution imaging and laser ablation revealed that E-cadherin guides differential gradients of actin and spectrin to regulate the layer-specific organization and mechanics of sub-membraneous spectrin-actomyosin networks. This organization is essential to dissipate tension, maintain structural integrity, and retain active growth factor receptor EGFR and the cation channel TRPV3 at the membrane in upper layers to induce terminal differentiation. Together, these findings reveal how organization of the cortical cytoskeleton coordinates changes in cell shape and cell fate at the tissue scale necessary to establish epithelial barriers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".