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Record W7026937214

Biased allosteric regulation of the Prostaglandin F2α receptor: from small molecules to large receptor complexes

2013· other· en· W7026937214 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2013
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsnot available
Fundersnot available
KeywordsAllosteric regulationG protein-coupled receptorReceptorFunctional selectivityExtracellularSignal transductionAllosteric modulatorSmall moleculeAgonistIntracellular
DOInot available

Abstract

fetched live from OpenAlex

G protein-coupled receptors (GPCRs) represent the largest family of cell surface receptors, and thus some of the most important targets for drug discovery. By binding to the orthosteric site where endogenous ligands bind, agonists and antagonists differentially modulate signals sent downstream from these receptors. New evidence suggests that GPCRs possess topographically distinct or allosteric binding sites, which may differentially modulate agonist- and antagonist-mediated responses to selectively affect distinct signalling pathways coupled to the same receptor. These sites may either positively or negatively regulate receptor activity, depending on the pathway in question, and thus can act as biased ligands, leading to functional selectivity (or ligand-directed signalling). Another way of allosterically regulating GPCR signalling is through receptor oligomerization, which has recently emerged as a common mechanism for regulating receptor function. The GPCR for prostaglandin F2α FP, is implicated in many important physiological responses, such as parturition, smooth muscle cell contraction and blood pressure regulation. Therefore, evaluating the potential use of allosteric modulators of FP to fine-tune PGF2α-mediated signals, as well as generating a better understanding of its putative oligomerization partners would be of significant pharmacological and clinical interest. In this thesis, I studied the impact of modulating, in both heterologous (HEK 293 cells) and homologous (osteoblast, myometrial or vascular smooth muscle cells) systems, downstream cellular responses of FP by 1) an orthosteric, but biased ligand, previously characterized as a neutral antagonist 2) an allosteric molecule, designed based on the extracellular domains of FP, which had biased signalling properties and, 3) heterodimerization with a receptor partner, the angiotensin II type I receptor, where I demonstrated the asymmetrical organization of this new signalling unit both in vitro and in vivo. Overall, my thesis unveils important roles for biased, allosteric ligands and receptor oligomerization in modulating FP signalling. This work also demonstrates the importance of understanding distinct receptor conformations, and their effects on cellular responses, which are adopted when GPCRs are allosterically modulated, to design better therapeutics with improved efficacy profiles and reduced side effects.

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 score0.001
Threshold uncertainty score0.004

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.147
Teacher spread0.143 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)→Same topicReceptor Mechanisms and Signaling→French-language works237,207→