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Record W1963688844 · doi:10.1006/cbir.2000.0531

C/EBPα AND C/EBPβ ARE PERSISTENTLY ASSOCIATED WITH THE RAT LIVER NUCLEAR MATRIX THROUGHOUT DEVELOPMENT AND THE ACUTE PHASE RESPONSE

2000· article· en· W1963688844 on OpenAlexaff
Svetlana Dinić, Svetlana Ivanović‐Matić, Desanka Bogojević, Mirjana Mihailović, Goran Poznanović

Bibliographic record

VenueCell Biology International · 2000
Typearticle
Languageen
FieldMedicine
TopicLiver physiology and pathology
Canadian institutionsInstitute for Biological Sciences
FundersScience and Engineering Research Board
KeywordsNuclear matrixCcaat-enhancer-binding proteinsMatrix (chemical analysis)Transcription factorInflammatory responseIn vivoChemistryBiologyNuclear proteinBiochemistryInflammationGeneImmunologyGeneticsChromatography

Abstract

fetched live from OpenAlex

The partitioning of C/EBPalpha and C/EBPbeta on the nuclear matrix structure was examined during the different transcriptional activities accompanying liver development and the acute phase (AP) response. The presence of C/EBPalpha and C/EBPbeta was established on the nuclear matrix. Their relative concentrations on the matrix always reflected the developmental stage- and AP-related fluctuations observed in the nuclear extract. Thus, they progressively increased as development proceeded, whereas during the AP response, C/EBPalpha decreased and C/EBPbeta increased. In addition, the levels of both transcription factors were always notably higher in the nuclear matrix than in the extracts. We conclude that the observed changes and overall enrichment of the nuclear matrix with regulatory proteins is a reflection of the importance of such interactions for the in vivo functioning of C/EBP proteins.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.013
GPT teacher head0.274
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2000
Admission routes1
Has abstractyes

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Same venueCell Biology InternationalSame topicLiver physiology and pathologyFrench-language works237,207