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Record W3210123022 · doi:10.32920/ryerson.14645772.v1

Regulation of β1 Integrin Traffic and ARF6 Gtpase by Amp-Activated Protein Kinase

2021· preprint· en· W3210123022 on OpenAlexaff
Rehman Ata

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsCell biologyIntegrinEndocytosisAMPKCD49cCell adhesionProtein kinase AIntegrin-linked kinaseChemistryCollagen receptorBiologyCellKinaseBiochemistryCyclin-dependent kinase 2

Abstract

fetched live from OpenAlex

Integrins are cell surface receptors that physically bridge the extracellular matrix to the cytoskeleton and responsible for adhesion, migration, and signaling. Integrin function is intimately controlled by their membrane traffic. For example, integrins are dynamically internalized from the cell posterior and recycled to the cell anterior during cell migration. Misregulation of integrins is intimately linked with cancer progression, including metastasis and cell proliferation and survival. We have recently uncovered that integrin membrane traffic is controlled by AMP-activated protein kinase (AMPK), an energy stress sensing kinase within cells at becomes activated upon energy stress such as by an increase in cell AMP:ATP ratio. I confirmed that AMPK activation resulted in a reduction of cell surface β1-integrin. Using assays that selectively measure integrin exocytosis and endocytosis, I found that AMPK activation regulates β1-integrin recycling and possibly endocytosis. I demonstrated that AMPK regulates Arf6 localization, a key protein which regulates β1-integrin membrane traffic. I confirmed that Arf6 and clathrin are involved in reciprocal regulation, thus highlighting the possible pathway for β1-integrin regulation by AMPK.

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 score0.002
Threshold uncertainty score0.006

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.029
GPT teacher head0.307
Teacher spread0.278 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same topicCell Adhesion Molecules ResearchFrench-language works237,207