Evidence map›Paper›PMID 20483202›Full record

ReviewStem cell research2010

Generating hepatic cell lineages from pluripotent stem cells for drug toxicity screening.

Melissa A Baxter, Cliff Rowe, Jane Alder, Sean Harrison, Karen Piper Hanley, B Kevin Park, Neil R Kitteringham, Chris E Goldring, Neil A Hanley

Abstract readReview
In one paragraph

Review in Stem cell research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Prospects and Frontiers of Stem Cell Toxicology.Stem cells and development · 2017
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. MicroRNA-122: a novel hepatocyte-enriched in vitro marker of drug-induced cellular toxicity.Toxicological sciences : an official journal of the Society of Toxicology · 2015
    Article
  18. Article
  19. Review
  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

9 authors.

Melissa A BaxterEndocrinology & Diabetes, School of Biomedicine, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
Cliff Rowe
Jane Alder
Sean Harrison
Karen Piper Hanley
B Kevin Park
Neil R Kitteringham
Chris E Goldring
Neil A Hanley

Funding

Biotechnology and Biological Sciences Research Council BB/D014670/2Biotechnology and Biological Sciences Research Council BB/E010040/1Medical Research Council MC_G1000732Wellcome Trust 074320Wellcome Trust 088566
6 · The paper itself

Abstract

Hepatotoxicity is an enormous and increasing problem for the pharmaceutical industry. Early detection of problems during the drug discovery pathway is advantageous to minimize costs and improve patient safety. However, current cellular models are sub-optimal. This review addresses the potential use of pluripotent stem cells in the generation of hepatic cell lineages. It begins by highlighting the scale of the problem faced by the pharmaceutical industry, the precise nature of drug-induced liver injury and where in the drug discovery pathway the need for additional cell models arises. Current research is discussed, mainly for generating hepatocyte-like cells rather than other liver cell-types. In addition, an effort is made to identify where some of the major barriers remain in translating what is currently hypothesis-driven laboratory research into meaningful platform technologies for the pharmaceutical industry.

Indexed as

Cell LineageAnimalsCell Culture TechniquesDrug Evaluation, PreclinicalDrug IndustryHumansLiverPluripotent Stem Cells

Identifiers

PMID20483202
PMCPMC3556810

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.