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Record W2025530874 · doi:10.1002/jcb.20163

NAP‐2 is part of multi‐protein complexes in Hela cells

2004· article· en· W2025530874 on OpenAlexaff
Pedro Rodríguez, Marcia T. Ruiz, Gerald B. Price, Maria Zannis‐Hadjopoulos

Bibliographic record

VenueJournal of Cellular Biochemistry · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Chromatin Dynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsHeLaHistoneChemistryDNABiochemistryMolecular biologyDNA supercoilSepharoseNapChromatographyIn vitroBiologyDNA replicationEnzyme

Abstract

fetched live from OpenAlex

We previously reported that a complex of nuclear proteins from HeLa cells, among them histone H1 and casein kinase 2 co-eluted from immobilized nucleosome assembly protein 2 (NAP-2)-Sepharose. Here, using HeLa cell nuclear extracts, we found NAP-2 migrates in a blue-native polyacrylamide gel with an apparent molecular weight of 300 kDa. HeLa cell NAP-2, labeled in vivo with radioactive orthophosphate, co-precipitated with at least two phosphoproteins, with an apparent mass of 100 and 175 kDa, respectively, as determined by SDS-PAGE. NAP-2 from total HeLa cell extract co-purified with other proteins through two sequential chromatographic steps: first, a positively charged resin, Q-Sepharose, was used, which purified NAP-2 more easily with other proteins that eluted as a single peak at 0.5 M NaCl. This fraction possessed both relaxing and supercoiling activities, and it was able to assemble regularly spaced nucleosomes onto naked DNA in an ATP-dependent manner. Second, a negatively charged resin (heparin) was used, which retained small amounts of NAP-2 (a very acidic polypeptide) and topoisomerase I. This fraction, although able to supercoil relaxed DNA, did so to a lesser extent than the Q-Sepharose fraction. The data suggest that NAP-2 is in complex(es) with other proteins, which are distinct from histones.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.003
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.214
Teacher spread0.207 · 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 teacher head, 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

Citations13
Published2004
Admission routes1
Has abstractyes

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