Evidence map›Paper›PMID 30006147›Full record

ReviewTrends in molecular medicine2018

Pluripotent Stem Cell Platforms for Drug Discovery.

Kevin G Chen, Barbara S Mallon, Kyeyoon Park, Pamela G Robey, Ronald D G McKay, Michael M Gottesman, Wei Zheng

Abstract readReview
In one paragraph

Review in Trends in molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
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

24 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Metabolic Quadrivalency in RSeT Human Embryonic Stem Cells.bioRxiv : the preprint server for biology · 2024
    Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Human Embryo Models and Drug Discovery.International journal of molecular sciences · 2021
    Review
  14. Review
  15. Article
  16. Trends in the development of human stem cell-based non-animal drug testing models.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2020
    Review
  17. Article
  18. Genomic stability at the coding regions of the multidrug transporter geneCancer drug resistance (Alhambra, Calif.) · 2020
    Article
  19. Article
  20. Review
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

7 authors at 2 institutions in 1 country.

Kevin G ChenNIH Stem Cell Characterization Facility, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA. Electronic address: cheng@mail.nih.gov.
Barbara S MallonNIH Stem Cell Characterization Facility, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA.
Kyeyoon ParkNIH Stem Cell Characterization Facility, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA.
Pamela G RobeySkeletal Biology Section, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD 20892, USA.
Ronald D G McKayThe Lieber Institute for Brain Development, Baltimore, MD 21205, USA.
Michael M GottesmanThe Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Wei ZhengNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA.
National Institutes of Health · USLieber Institute for Brain Development · US

Funding

The role of stem cells in skeletal health and diseaseZIADE000380 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI ROBEY, PAMELA G · 2009 to 2025
$30.6M
Drug Repurposing Screening for Rare and Neglected DiseasesZIATR000018 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI ZHENG, WEI · 2015 to 2025
$24.6M
Human pluripotent stem cellsZICNS003008 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI ROBEY, PAMELA · 2009 to 2025
$21.2M
Genetic Analysis of the Multidrug Resistance Phenotype in Tumor CellsZIABC005598 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GOTTESMAN, MICHAEL · 2009 to 2025
$11.9M
Intramural NIH HHS Z99 NS999999
6 · The paper itself

Abstract

Use of human pluripotent stem cells (hPSCs) and their differentiated derivatives have led to recent proof-of-principle drug discoveries, defining a pathway to the implementation of hPSC-based drug discovery (hPDD). Current hPDD strategies, however, have inevitable conceptual biases and technological limitations, including the dimensionality of cell-culture methods, cell maturity and functionality, experimental variability, and data reproducibility. In this review, we dissect representative hPDD systems via analysis of hPSC-based 2D-monolayers, 3D culture, and organoids. We discuss mechanisms of drug discovery and drug repurposing, and roles of membrane drug transporters in tissue maturation and hPDD using the example of drugs that target various mutations of CFTR, the cystic fibrosis transmembrane conductance regulator gene, in patients with cystic fibrosis.

Indexed as

AnimalsATP-Binding Cassette TransportersCell Culture TechniquesCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorDrug DevelopmentDrug DiscoveryHumansMolecular Targeted TherapyOrganoidsPluripotent Stem CellsATP-Binding Cassette TransportersCFTR protein, humanCystic Fibrosis Transmembrane Conductance RegulatorATP-binding cassetteCFTRcystic fibrosisdifferentiationdrug discoveryorganoidsPluripotent stem cells

Identifiers

PMID30006147
PMCPMC6117164
OpenAlexW2881279370

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.