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Regulation of human platelet Rac1 activation through interaction with calmodulin

2008· article· en· W2281119960 on OpenAlexaffabout
Rajinder P. Bhullar, Sherif M. Elsaraj

Bibliographic record

VenueThe FASEB Journal · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Kinase Regulation and GTPase Signaling
Canadian institutionsUniversity of WinnipegUniversity of Manitoba
Fundersnot available
KeywordsRAC1CalmodulinPlatelet activationThrombinPlateletCell biologyMotilityChemistryBiochemistryCytoskeletonBiologySignal transductionCellImmunologyEnzyme

Abstract

fetched live from OpenAlex

Rac1 belongs to the Rho family of small GTP‐binding proteins and has been implicated in lamellipodia formation. Calmodulin (CaM), a ubiquitous Ca 2+ ‐binding protein, has been shown to interact with and regulate the activity of several small GTP‐binding proteins. In the present study, we have investigated if CaM interacts with Rac1 and regulates its activation. Thus, Rac1 was expressed as a GST fusion protein (GST‐Rac1). In vitro pull down assay demonstrated that CaM from platelet lysate interacts in a Ca 2+ ‐dependent manner with GST‐Rac1. In the reverse experiment, CaM coupled to Sepharose beads was used to pull down Rac1 from platelet lysate in a Ca 2+ ‐dependent manner. Pure CaM was also able interact with Rac1 demonstrating that Rac1‐CaM interaction was direct. Using CaM database analysis a 14 amino acid sequence in Rac1 was identified as the CaM binding region. The scrambled form of the peptide did not bind CaM. The role of CaM in Rac1 activation was investigated using freshly isolated human platelets. Maximal activation of platelet Rac1 in response to thrombin occurred at ∼60 sec. Incubation with the CaM inhibitor, W7, prior to thrombin challenge, abolished thrombin induced activation of platelet Rac1. The results demonstrate that in platelets, binding of CaM to Rac1 increases its activation and that CaM may play an important role in the regulation of cytoskeleton remodelling. Supported by Heart & Stroke Fdn of Manitoba.

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 score0.020
Threshold uncertainty score0.210

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 head0.023
GPT teacher head0.264
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

Citations0
Published2008
Admission routes2
Has abstractyes

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