Spatial distribution of lamin A determines nuclear stiffness and stress-mediated deformation
Bibliographic record
Abstract
Abstract The nucleus is the largest organelle and information center of the cell; while diverse cellular components have been identified as mechanotransduction elements, the deformation of the nucleus itself is emerging as a critical mechanosensory mechanism, suggesting that the nuclear stiffness is essential in determining responses to intracellular and extracellular stresses. The nuclear membrane protein, lamin A, is known to be a dominant component in nuclear stiffening; however, the quantitative relationship between lamin A expression and nuclear deformation is still unclear. Here we measure the nuclear moduli as a function of lamin A expression and applied stress, revealing a linear dependence of bulk modulus on lamin A expression. We also find that the bulk modulus is anisotropic, with the vertical axis of the nucleus being more compliant than the minor and major axis. To examine how lamin A influences nuclear mechanics at the sub-micron scale we correlated the spatial distribution of lamin A with 3D nuclear envelope deformation, revealing that local areas of the nuclear envelope with higher expression levels of lamin A have correspondingly lower local deformations, and that increased lamin A expression levels result in a narrower distribution of smaller deformations. These findings describe the complex dispersion of nuclear deformations as a function of lamin A expression and distribution and implicate a role in mechanotransduction.
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) | 0.000 | 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 | 0.001 | 0.000 |
| 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".