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Record W2039114116 · doi:10.1074/jbc.m312850200

The Post-translational Modifications of Proliferating Cell Nuclear Antigen

2004· article· en· W2039114116 on OpenAlexaff
Stanislav Naryzhny, Hoyun Lee

Bibliographic record

VenueJournal of Biological Chemistry · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsNortheast Cancer Centre
Fundersnot available
KeywordsProliferating cell nuclear antigenCell biologyAntigenPosttranslational modificationChemistryBiologyCell growthGeneticsBiochemistryEnzyme

Abstract

fetched live from OpenAlex

The diverse function of proliferating cell nuclear antigen (PCNA) is thought to be due, in large part, to post-translational modifications. Here we show by high resolution two-dimensional PAGE analysis that there are three distinct PCNA isoforms that differ in their acetylation status. The moderately acetylated main (M) form was found in all of the subcellular compartments of cycling cells, whereas the highly acetylated acidic form was primarily found in the nucleoplasm, nuclear matrix, and chromatin. Interestingly, the deacetylated basic form was most pronounced in the nucleoplasm of cycling cells. The cells in G(0) and the cytoplasm of cycling cells contained primarily the M form only. Because p300 and histone deacetylase (HDAC1) were co-immunoprecipitated with PCNA, they are likely responsible for the acetylation and deacetylation of PCNA, respectively. We also found that deacetylation reduced the ability of PCNA to bind to DNA polymerases beta and delta. Taken together, our data support a model where the acidic and M forms participate in DNA replication, whereas the basic form is associated with the termination of DNA replication.

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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.018
GPT teacher head0.268
Teacher spread0.249 · 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

Citations114
Published2004
Admission routes1
Has abstractyes

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