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Record W3171737412 · doi:10.1111/febs.16061

Matrix metalloproteinase‐2 mediates ribosomal RNA transcription by cleaving nucleolar histones

2021· article· en· W3171737412 on OpenAlexafffund
Mohammad Ali, Javier A. Garcia‐Vilas, Christopher R. Cromwell, Basil P. Hubbard, Michael J. Hendzel, Richard Schulz

Bibliographic record

VenueFEBS Journal · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsNorthern Alberta Institute of TechnologyAlberta Cancer FoundationUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsRibosome biogenesisNucleolusBiologyCell biologyRNA polymerase ITranscription (linguistics)Molecular biologyRNARibosomeGeneGeneticsRNA-dependent RNA polymeraseNucleus

Abstract

fetched live from OpenAlex

Cell proliferation and survival require continuous ribosome biogenesis and protein synthesis. Genes encoding ribosomal RNA are physically located in a specialized substructure within the nucleus known as the nucleolus, which has a central role in the biogenesis of ribosomes. Matrix metalloproteinase-2 was previously detected in the nucleus, however, its role there is elusive. Herein we report that matrix metalloproteinase-2 resides within the nucleolus to regulate ribosomal RNA transcription. Matrix metalloproteinase-2 is enriched at the promoter region of ribosomal RNA gene repeats, and its inhibition downregulates preribosomal RNA transcription. The N-terminal tail of histone H3 is clipped by matrix metalloproteinase-2 in the nucleolus, which is associated with increased ribosomal RNA transcription. Knocking down/out matrix metalloproteinase-2, or inhibiting its activity, prevents histone H3 cleavage and reduces both ribosomal RNA transcription and cell proliferation. In addition to the known extracellular roles of matrix metalloproteinase-2 in tumor growth, our data reveal an epigenetic mechanism whereby intranucleolar matrix metalloproteinase-2 regulates cell proliferation through histone clipping and facilitation of ribosomal RNA transcription.

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 score0.327
Threshold uncertainty score0.465

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 head0.009
GPT teacher head0.250
Teacher spread0.241 · 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

Citations44
Published2021
Admission routes2
Has abstractyes

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