SOLUBILITY PARTITIONING OF C/EBPβ ON THE RAT HEPATOCYTE NUCLEAR MATRIX BY HYDROPHOBIC INTERACTIONS
Bibliographic record
Abstract
The greatest part of nuclear C/EBPbeta (a major 35 kD protein, 30 and 38 kD isoforms) was observed to partition with the nuclear matrix. Cross-linking experiments with formaldehyde suggested that the association reflected the in situ juxtapositioning of C/EBPbeta to nuclear matrix proteins in isolated nuclei. The association of C/EBPbeta with the nuclear matrix resisted RNase and DNase treatment and extraction with protein sulfhydryl reducing agents combined with high ionic strength salt. C/EBPbeta displayed a proclivity to extensively reassemble with the filament-forming nuclear matrix proteins after a cycle of solubilization with urea, followed by its removal by dialysis. These findings suggest that the C/EBPbeta moieties were anchored to the nuclear matrix through hydrophobic protein-protein interactions with the lamins. Subsequent separation of nuclear matrix-associated C/EBPbeta into insoluble, reassembling, and soluble nuclear matrix protein (SNMP) fractions after a cycle of solubilization/reassembly pointed to the sub-partitioning of C/EBPbeta on the nuclear matrix. DNA affinity chromatography using the rat haptoglobin gene cis -element and SNMP revealed the binding of p35 during basal transcription, and p35 and p30 during elevated haptoglobin gene transcription in the course of the acute-phase (AP) response. It was concluded that the appearance of cis -element-binding p30 in the SNMP fraction resulted from its increased solubility (decreased hydrophobicity) and inability to reassociate with the lamins during urea removal. The observed solubility partitioning of C/EBPbeta on the nuclear matrix framework could represent a level of control of the general availability of regulatory proteins for establishing interactions with DNA.
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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 | 0.000 |
| 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".