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Record W2407589310 · doi:10.1007/978-1-61779-160-4_22

Tandem Affinity Purification and Identification of Heterotrimeric G Protein-Associated Proteins

2011· article· en· W2407589310 on OpenAlexaff
Syed Mukhtar Ahmed, Avais M. Daulat, Stéphane Angers

Bibliographic record

VenueMethods in molecular biology · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHeterotrimeric G proteinG protein-coupled receptorG proteinGTPase-activating proteinCell biologyG beta-gamma complexEffectorBiologyGq alpha subunitChemistrySignal transductionBiochemistry

Abstract

fetched live from OpenAlex

Heterotrimeric G proteins are the main signal-transducing molecules activated by G protein-coupled receptors. Their GTP-dependent activation leads to the regulation of different effectors such as adenylyl cyclases, phospholipases, and RhoGEFs. To understand the full biological consequences of GPCR signalling and to further understand the cross-talk with other signalling pathways, the complement of proteins associating with heterotrimeric G proteins needs to be identified. Here we describe our mass spectrometry-based proteomic approaches for the study of Gβγ and Gα protein complexes. This approach is predicated on the establishment of mammalian cell lines constitutively or inducibly expressing affinity-tagged versions of Gβγ or wild-type and constitutively active Gα subunits, respectively.

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: Methods · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.032
GPT teacher head0.337
Teacher spread0.305 · 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

Citations8
Published2011
Admission routes1
Has abstractyes

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