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Record W2422928741 · doi:10.1007/978-1-59745-396-7_5

Detection of Activated Rab7 GTPase with an Immobilized RILP Probe

2009· article· en· W2422928741 on OpenAlexaff
Jim Sun, Ala‐Eddine Deghmane, Cecilia Bucci, Zakaria Hmama

Bibliographic record

VenueMethods in molecular biology · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsUniversity of British ColumbiaVancouver Coastal Health
Fundersnot available
KeywordsGTPaseCell biologyEffectorPhagosomeBiogenesisSmall GTPaseRabGTP'BiologyChemistryIntracellularBiochemistrySignal transductionEnzyme

Abstract

fetched live from OpenAlex

The dynamic and coordinated exchange of multiple GTPases between the cytosol and the phagosome membrane represents a critical process during phagosome biogenesis. In particular, acquisition of Rab7 is crucial for progression to the stage where formation of phagolysosomes is observed. Optimal Rab7 effector function requires its conversion to the GTP-bound form where it becomes activated. In light of this regulatory node, the GDP/GTP switch on the Rab7 molecule represents a tractable event to dissect the control of phagosome maturation by intracellular pathogen or their products. Direct measurement of Rab7 activation requires 32P-GTP binding to renatured Rab7 recovered by pull downs and resolved by SDS-Polyacrylamide Gel Electrophoresis (SDS-PAGE) and autoradiography. Here, we describe a novel, alternative, nonradioactive assay to measure Rab7 activity which takes advantage of the specific binding of activated (GTP bound) Rab7 to its effector RILP (Rab7 interacting lysosomal protein). Active Rab7 bound to immobilized recombinant RILP on latex beads can be detected quantitatively by either classical Western blotting or flow cytometry.

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)0.001
metaresearch head score (Gemma)0.001
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: Methods · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.003

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 head0.012
GPT teacher head0.325
Teacher spread0.313 · 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
GenreMethods

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

Citations21
Published2009
Admission routes1
Has abstractyes

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