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Record W4246113716 · doi:10.24908/iqurcp.9186

Cleavage of Arpin by Calpain as a Potential Regulation Mechanism of the Arp2/3 Complex and Cell Motility

2018· article· en· W4246113716 on OpenAlexvenueno aff
Renee Potashner

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCalpain Protease Function and Regulation
Canadian institutionsnot available
Fundersnot available
KeywordsCalpainCell biologyMotilityProteasesActinBiologyCysteine proteaseBiochemistry

Abstract

fetched live from OpenAlex

Cell movement is mediated by cycles of actin polymerisation. A novel protein, Arpin, was discovered that has been suggested to decrease cell motility through competitive inhibition of WASP family proteins, the activators of the complex driving actin polymerisation. In preliminary studies, Arpin was found to inhibit the Arp2/3 complex (Gautreau and Blanchoin, personal communication). Arpin contains sequence homology to the Arp2/3-binding site of WASP proteins. Calpains, a family of intracellular calcium-dependent cysteine proteases, can be found near the plasma membrane and the concentration of calcium ion required for activation is decreased when calpain is bound to the plasma membrane in the presence of phospholipids (Leloup et al. 2010). The common localization of calpain and Arpin, along with the known contributions calpain has in regulating other cell motility proteins, makes calpain a likely candidate for Arpin regulation. By transfecting calpain wild-type (pz/pz), knockdown (p/p) and lentivirus rescue mouse embryonic fibroblasts with a plasmid containing the Arpin gene (c15orf38), I hope to show the presence of differential cleavage of Arpin by calpain in the wild-type cells compared to the calpain knock-down cells through Western blot analysis. Understanding how Arpin is regulated will provide a basis for further research in cell motility, which has contributions to cancer metastasis and other diseases.

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)0.001
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 score0.023
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.038
GPT teacher head0.315
Teacher spread0.276 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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