Evidence map›Paper›PMID 30567417›Full record

ReviewBiomolecules2018

Combining Optical Approaches with Human Inducible Pluripotent Stem Cells in G Protein-Coupled Receptor Drug Screening and Development.

Kyla Bourque, Jace Jones-Tabah, Nourhen Mnasri, Ryan D Martin, Terence E Hébert

Abstract readReview
In one paragraph

Review in Biomolecules, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kyla BourqueDepartment of Pharmacology and Therapeutics, McGill University, Room 1303 McIntyre Medical Sciences Building, 3655 Promenade Sir William Osler, Montréal, QC H3G 1Y6, Canada. kyla.bourque@mail.mcgill.ca.
Jace Jones-TabahDepartment of Pharmacology and Therapeutics, McGill University, Room 1303 McIntyre Medical Sciences Building, 3655 Promenade Sir William Osler, Montréal, QC H3G 1Y6, Canada. jace.jones-tabah@mail.mcgill.ca.
Nourhen MnasriDepartment of Pharmacology and Therapeutics, McGill University, Room 1303 McIntyre Medical Sciences Building, 3655 Promenade Sir William Osler, Montréal, QC H3G 1Y6, Canada. nourhen.mnasri@mail.mcgill.ca.
Ryan D MartinDepartment of Pharmacology and Therapeutics, McGill University, Room 1303 McIntyre Medical Sciences Building, 3655 Promenade Sir William Osler, Montréal, QC H3G 1Y6, Canada. ryan.martin@mail.mcgill.ca.
Terence E HébertDepartment of Pharmacology and Therapeutics, McGill University, Room 1303 McIntyre Medical Sciences Building, 3655 Promenade Sir William Osler, Montréal, QC H3G 1Y6, Canada. terence.hebert@mcgill.ca.

Funding

CIHR MOP-130309CIHR PJT-156298
6 · The paper itself

Abstract

Drug discovery for G protein-coupled receptors (GPCRs) stands at an interesting juncture. Screening programs are slowly moving away from model heterologous cell systems such as human embryonic kidney (HEK) 293 cells to more relevant cellular, tissue and whole animal platforms. Investigators are now developing analytical approaches as means to undertake different aspects of drug discovery by scaling into increasingly more relevant models all the way down to the single cell level. Such approaches include cellular, tissue slice and whole animal models where biosensors that track signaling events and receptor conformational profiles can be used. Here, we review aspects of biosensor-based imaging approaches that might be used in inducible pluripotent stem cell (iPSC) and organoid models, and focus on how such models must be characterized in order to apply them in drug screening.

Indexed as

Drug DiscoveryDrug Evaluation, PreclinicalHEK293 CellsHumansInduced Pluripotent Stem CellsReceptors, G-Protein-CoupledSignal TransductionReceptors, G-Protein-Coupleddrug discoveryimagingiPSCssingle cell approachesstem cells

Identifiers

PMID30567417
PMCPMC6315445

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.