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Record W2944089156 · doi:10.1210/js.2019-sat-033

SAT-033 Studying Cell-Context Specific Effects on the Function of the AT1R in iPSCs and Their Differentiated Derivatives

2019· article· en· W2944089156 on OpenAlexaff
Kyla Bourque, Dominic Devost, Darlaine Pétrin, Terence E. Hébert

Bibliographic record

VenueJournal of the Endocrine Society · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiac Fibrosis and Remodeling
Canadian institutionsMcGill University
Fundersnot available
KeywordsG protein-coupled receptorContext (archaeology)ReceptorAllosteric regulationAngiotensin IISignal transductionCell biologyAngiotensin II receptor type 1EffectorDrug discoveryBiologyHEK 293 cellsFunction (biology)ChemistryComputational biologyBiochemistry

Abstract

fetched live from OpenAlex

Cardiovascular homeostasis is tightly regulated by numerous neurohormonal mediators such as the renin-angiotensin system which plays an important role in the maintenance of blood pressure. Central to this system is the peptide hormone angiotensin II (Ang II) whose signals are transduced via the AT1 receptor (AT1R), an important member of the superfamily of G protein-coupled receptors (GPCRs). Ang II binding results in receptor activation characterized by structural re-arrangements within the receptor structure and the subsequent activation of its cognate G protein partners. GPCRs are allosteric in nature and their biological activity is highly dependent on the cell context in which they are expressed1. Changes in the cellular background such as the differential availability of G proteins and effector molecules including putative dimer partners can affect receptor conformation and function. As such, we are interested in understanding how AT1R conformation and signaling are modulated by the cell context in which it is expressed1. In the past, studies that aimed at understanding signaling downstream of GPCRs mostly relied on heterologous expression systems such as HEK 293 cells because of their ease of culture. Such studies led to a ‘one size fits all’ notion that our findings could be reasonably extrapolated to guide drug discovery platforms relevant for human disease. However, it is clear that with the high rate of drug attrition, we need more physiologically relevant cellular models for studies of molecular signal transduction events to be translatable. With this in mind, we are generating iPSCs that stably express a panel of conformation-sensitive biosensors that reliably report on the conformational changes in the AT1R1,2. Our biosensors use resonance energy transfer between a bioluminescent donor and a fluorescent acceptor (FlAsH) where agonist-mediated conformational changes can be recorded1. Here, we will investigate how the conformation of the AT1R changes when expressed in AT1R-relevant cell types such as iPSC-derived cardiomyocytes and vascular smooth muscle cells. We will investigate how our conformational profiles differ in different iPSC-derived cell types in response to AT1R-specific agonists. Our goal is to gain a better mechanistic understanding of how cells are differentially wired leading to cell-specific conformational and signaling responses. We hope our results can guide rational drug design to better target the AT1R and other GPCRs. 1Devost D., et al (2017). Journal of Biological Chemistry, jbc-M116. 2Pei Y., et al (2015). Scientific reports, 5, 9205.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.239

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0000.000

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 head0.015
GPT teacher head0.223
Teacher spread0.208 · 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 designObservational
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
Published2019
Admission routes1
Has abstractyes

Explore more

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