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Record W2077330057 · doi:10.4161/cib.4.2.14270

How does a protein with dual mitotic spindle and extracellular matrix receptor functions affect tumor susceptibility and progression?

2011· article· en· W2077330057 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCommunicative & Integrative Biology · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProteoglycans and glycosaminoglycans research
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsCell biologyIntracellularExtracellular matrixMitosisBiologyCD44ExtracellularReceptorTumor progressionChemistryCellGeneticsCancer

Abstract

fetched live from OpenAlex

The mechanisms responsible for the oncogenic effects of the hyaluronan (HA) receptor and mitotic spindle binding protein, RHAMM, are poorly understood. On one hand, extracellular RHAMM interacts with HA and cellsurface receptors such as CD44 to coordinately activate the MAPK/ERK1,2 pathway, thus contributing to the spread and proliferation of tumor cells. On the other hand, intracellular RHAMM decorates mitotic spindles and is necessary for spindle formation and progression through G2/M and overexpression or loss of RHAMM can result in multipole spindles and chromosome missegregation. The deregulation of these intracellular functions could lead to genomic instability and fuel tumor progression. This suggests that both extracellular and intracellular RHAMM can promote tumor progression. Intracellular RHAMM can bind directly to ERK1 to form complexes with ERK2, MEK1 and ERK1,2 substrates, and we present a model whereby RHAMM's function is as a scaffold protein, controlling activation and targeting of ERK1,2 to specific substrates.

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.

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 score0.036
Threshold uncertainty score0.804

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.024
GPT teacher head0.304
Teacher spread0.280 · 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