Changes in Chromatin Fiber Density as a Marker for Pluripotency
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
Extensive alterations in chromatin structure at the nucleosome level are linked to developmental potential. We hypothesize that such alterations in chromatin structure reflect and, to some extent, depend on the large-scale reorganization of the nuclear landscape. We have used electron spectroscopic imaging (ESI) to visualize chromatin organization at the mesoscale level of resolution in both pluripotent and differentiated cell types. Pluripotent cells are characterized by a highly dispersed mesh of 10-nm chromatin fibers that fill the nuclear volume. In contrast, differentiated cells display a propensity to form compact chromatin domains that lead to large regions of the nucleus devoid of DNA. Surprisingly, ESI combined with tomography methods reveals that the compact chromatin domains consist of 10-nm rather than 30-nm chromatin fibers. We propose that the transition between compact silent chromatin and open transcriptionally poised or active chromatin is based on the modulation of the packing density of 10-nm fibers rather than a transition between 10- and 30-nm fiber types.
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.
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 | 0.000 | 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 it