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Record W2110521639 · doi:10.1002/dvdy.24187

Regulation of cell proliferation and adhesion by means of a novel region of drosophila merlin interacting with Sip1

2014· article· en· W2110521639 on OpenAlexafffund
Namal Abeysundara, Albert C. Leung, David A. Primrose, Sarah C. Hughes

Bibliographic record

VenueDevelopmental Dynamics · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHippo pathway signaling and YAP/TAZ
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health ResearchUniversity of Alberta
KeywordsMerlin (protein)BiologyCell biologySuppressorNeurofibromatosis type 2Scaffold proteinCell adhesionCellGeneticsSignal transductionNeurofibromatosisGene

Abstract

fetched live from OpenAlex

BACKGROUND: The tumor suppressor protein merlin is thought to regulate cell proliferation and cell adhesion through interaction with protein partners. Loss of merlin is associated with Neurofibromatosis Type 2 (NF2) tumors. NHERF1 or EBP50 is a scaffolding protein that functions in apical organization of polarized cells. Merlin and NHERF1 have been shown to interact in vitro in vertebrates. We investigate how the Drosophila NHERF1 orthologue, Sip1, and Merlin function to regulate cell proliferation and adhesion. RESULTS: We identify two conserved arginine residues (R325 and R335) in Merlin which, in addition to the FERM domain, are required for interaction with Sip1. Mutation of the arginine residues result in reduced Sip1 binding to Merlin and loss of Merlin growth suppressor function. Over-expression of Merlin(R325A) and/or Merlin(R335L) in Drosophila wings result in increased proliferation in the adult wing (increase in size), which is rescued by co-over-expression of constitutively active Merlin protein. Reduced Sip1 binding to Merlin also produces defects in adhesion in follicle epithelial cells. CONCLUSIONS: Sip1 facilitates the activation of Merlin as a tumor suppressor protein. Thus, our work provides insight into how Merlin functions as a tumor suppressor and in adhesion and this provides insight into the mechanism of NF2 pathogenesis.

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 score0.024
Threshold uncertainty score0.316

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 head0.199
Teacher spread0.192 · 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

Citations2
Published2014
Admission routes2
Has abstractyes

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