Embryonic stem cells do not have a globally disrupted higher-order chromatin fibre structure
Bibliographic record
Abstract
Abstract Embryonic stem cells (ESCs) are thought to maintain pluripotency through global hyper-transcription, linked to an “open” chromatin structure. To investigate this idea, we analyzed higher-order chromatin fibres from mouse ESCs, their differentiated progenitors, and terminally differentiated mouse NIH3T3 fibroblasts. Bulk chromatin composition including protein:DNA ratio and nucleosome repeat length varied little between the cell types, but surprisingly biophysical analyses such as linker histone FRAP, hydrodynamic sedimentation and nuclease sensitivity also showed no significant differences in the conformation of purified higher-order chromatin fibres. To better evaluate the structure of higher-order chromatin fibres observed in cells, we developed a novel technique called SPOCC (Sedimentation Properties of Cross-Linked Chromatin). This approach revealed that ESCs and differentiated cells share similar bulk higher-order chromatin fibre structures, whilst ESCs have a slightly more disrupted structure than NIH3T3 cell chromatin. These results indicate that ESC transcriptional activity and plasticity are not driven by a fundamentally “open” higher-order chromatin conformation.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".