Promyelocytic leukaemia‐immunoreactive neuronal intranuclear rodlets in the human brain
Bibliographic record
Abstract
In a previous study, we demonstrated immunoreactivity of a subset of neuronal intranuclear rodlets (INRs) in the human substantia nigra for promyelocytic leukaemia (PML) protein, the signature protein of PML bodies. In the present study, we extend these observations and describe the ultrastructural features, immunohistochemical staining characteristics, and topographical pattern of distribution of PML-immunoreactive intranuclear rodlets (PML-INRs). Consistent with a purported role for PML bodies in nuclear proteolysis and/or transcriptional regulation, PML-INRs are immunoreactive for components of the ubiquitin-proteasome system, the transcriptional regulator CREB-binding protein, acetylated histone H4, and the eukaryotic translation initiation factor eIF4E. Immunoelectron microscopy reveals that they all possess a filamentous core and, in some, this is surrounded by a granular shell. We further demonstrate that a proportion of INRs in extranigral sites also show partial immunoreactivity for PML. These observations indicate an intimate association between two neuronal nuclear bodies, PML bodies and INRs. Because both of these structures have been implicated in neurodegenerative disease, PML-INRs may provide a tool with which to study changes in nuclear substructure in disease.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".