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Record W2085248799 · doi:10.1074/jbc.c109.064766

Real-time NMR Study of Three Small GTPases Reveals That Fluorescent 2′(3′)-O-(N-Methylanthraniloyl)-tagged Nucleotides Alter Hydrolysis and Exchange Kinetics

2009· article· en· W2085248799 on OpenAlexafffund
Mohammad T. Mazhab‐Jafari, Christopher B. Marshall, Matthew J. Smith, Geneviève M. C. Gasmi-Seabrook, Vuk Stambolic, Robert Rottapel, Benjamin G. Neel, Mitsuhiko Ikura

Bibliographic record

VenueJournal of Biological Chemistry · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Structure and Dynamics
Canadian institutionsUniversity Health NetworkUniversity of TorontoOntario Institute for Cancer Research
FundersCanadian Institutes of Health Research
KeywordsGTPaseNucleotideKineticsFluorescenceChemistryGuanine nucleotide exchange factorHydrolysisBiochemistryBiophysicsBiologyPhysicsGene

Abstract

fetched live from OpenAlex

The Ras family of small GTPases control diverse signaling pathways through a conserved “switch” mechanism, which is turned on by binding of GTP and turned off by GTP hydrolysis to GDP. Full understanding of GTPase switch functions requires reliable, quantitative assays for nucleotide binding and hydrolysis. Fluorescently labeled guanine nucleotides, such as 2′(3′)-O-(N-methylanthraniloyl) (mant)-substituted GTP and GDP analogs, have been widely used to investigate the molecular properties of small GTPases, including Ras and Rho. Using a recently developed NMR method, we show that the kinetics of nucleotide hydrolysis and exchange by three small GTPases, alone and in the presence of their cognate GTPase-activating proteins (GAPs) and guanine nucleotide exchange factors, are affected by the presence of the fluorescent mant moiety. Intrinsic hydrolysis of mantGTP by Ras homolog enriched in brain (Rheb) is ∼10 times faster than that of GTP, whereas it is 3.4 times slower with RhoA. On the other hand, the mant tag inhibits TSC2GAP-catalyzed GTP hydrolysis by Rheb but promotes p120 RasGAP-catalyzed GTP hydrolysis by H-Ras. Guanine nucleotide exchange factor-catalyzed nucleotide exchange for both H-Ras and RhoA was inhibited by mant-substituted nucleotides, and the degree of inhibition depends highly on the GTPase and whether the assay measures association of mantGTP with, or dissociation of mantGDP from the GTPase. These results indicate that the mant moiety has significant and unpredictable effects on GTPase reaction kinetics and underscore the importance of validating its use in each assay. The Ras family of small GTPases control diverse signaling pathways through a conserved “switch” mechanism, which is turned on by binding of GTP and turned off by GTP hydrolysis to GDP. Full understanding of GTPase switch functions requires reliable, quantitative assays for nucleotide binding and hydrolysis. Fluorescently labeled guanine nucleotides, such as 2′(3′)-O-(N-methylanthraniloyl) (mant)-substituted GTP and GDP analogs, have been widely used to investigate the molecular properties of small GTPases, including Ras and Rho. Using a recently developed NMR method, we show that the kinetics of nucleotide hydrolysis and exchange by three small GTPases, alone and in the presence of their cognate GTPase-activating proteins (GAPs) and guanine nucleotide exchange factors, are affected by the presence of the fluorescent mant moiety. Intrinsic hydrolysis of mantGTP by Ras homolog enriched in brain (Rheb) is ∼10 times faster than that of GTP, whereas it is 3.4 times slower with RhoA. On the other hand, the mant tag inhibits TSC2GAP-catalyzed GTP hydrolysis by Rheb but promotes p120 RasGAP-catalyzed GTP hydrolysis by H-Ras. Guanine nucleotide exchange factor-catalyzed nucleotide exchange for both H-Ras and RhoA was inhibited by mant-substituted nucleotides, and the degree of inhibition depends highly on the GTPase and whether the assay measures association of mantGTP with, or dissociation of mantGDP from the GTPase. These results indicate that the mant moiety has significant and unpredictable effects on GTPase reaction kinetics and underscore the importance of validating its use in each assay.

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 score0.045
Threshold uncertainty score0.742

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.019
GPT teacher head0.247
Teacher spread0.229 · 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

Citations51
Published2009
Admission routes2
Has abstractyes

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