Evidence map›Paper›PMID 26608109›Full record

ArticleMethods (San Diego, Calif.)2016

A high-content platform to characterise human induced pluripotent stem cell lines.

Andreas Leha, Nathalie Moens, Ruta Meleckyte, Oliver J Culley, Mia K Gervasio, Maximilian Kerz, Andreas Reimer, Stuart A Cain, Ian Streeter, Amos Folarin and 6 more

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Everything You Always Wanted to Know About Organoid-Based Models (and Never Dared to Ask).Cellular and molecular gastroenterology and hepatology · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. The role of fibrillin and microfibril binding proteins in elastin and elastic fibre assembly.Matrix biology : journal of the International Society for Matrix Biology · 2019
    Review
  15. Human iPSC banking: barriers and opportunities.Journal of biomedical science · 2019
    Review
  16. Integrated Multiparametric High-Content Profiling of Endothelial Cells.SLAS discovery : advancing life sciences R & D · 2019
    Article
  17. Article
  18. Interleukin-22 promotes phagolysosomal fusion to induce protection againstProceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  19. Review
  20. 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

16 authors.

Andreas LehaWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Nathalie MoensHipSci Cell Phenotyping, Centre for Stem Cells and Regenerative Medicine, King's College London, Great Maze Pond, London SE1 9RT, UK.
Ruta MeleckyteHipSci Cell Phenotyping, Centre for Stem Cells and Regenerative Medicine, King's College London, Great Maze Pond, London SE1 9RT, UK.
Oliver J CulleyHipSci Cell Phenotyping, Centre for Stem Cells and Regenerative Medicine, King's College London, Great Maze Pond, London SE1 9RT, UK.
Mia K GervasioHipSci Cell Phenotyping, Centre for Stem Cells and Regenerative Medicine, King's College London, Great Maze Pond, London SE1 9RT, UK.
Maximilian KerzHipSci Cell Phenotyping, Centre for Stem Cells and Regenerative Medicine, King's College London, Great Maze Pond, London SE1 9RT, UK; NIHR Biomedical Research Centre for Mental Health Informatics Core, King's College London, De Crespigny Park, London SE5 8AF, UK.
Andreas ReimerHipSci Cell Phenotyping, Centre for Stem Cells and Regenerative Medicine, King's College London, Great Maze Pond, London SE1 9RT, UK.
Stuart A CainWellcome Trust Centre for Cell-Matrix Research, Faculty of Life Sciences, University of Manchester, Manchester M13 9PT, United Kingdom.
Ian StreeterEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
Amos FolarinNIHR Biomedical Research Centre for Mental Health Informatics Core, King's College London, De Crespigny Park, London SE5 8AF, UK.
Oliver StegleEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
Cay M KieltyWellcome Trust Centre for Cell-Matrix Research, Faculty of Life Sciences, University of Manchester, Manchester M13 9PT, United Kingdom.
HipSci Consortium
Richard DurbinWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Fiona M WattHipSci Cell Phenotyping, Centre for Stem Cells and Regenerative Medicine, King's College London, Great Maze Pond, London SE1 9RT, UK.
Davide DanoviHipSci Cell Phenotyping, Centre for Stem Cells and Regenerative Medicine, King's College London, Great Maze Pond, London SE1 9RT, UK. Electronic address: davide.danovi@kcl.ac.uk.

Funding

Medical Research Council MC_PC_12026Medical Research Council MR/K026666/1Medical Research Council MR/L022699/1Wellcome Trust 098503
6 · The paper itself

Abstract

Induced pluripotent stem cells (iPSCs) provide invaluable opportunities for future cell therapies as well as for studying human development, modelling diseases and discovering therapeutics. In order to realise the potential of iPSCs, it is crucial to comprehensively characterise cells generated from large cohorts of healthy and diseased individuals. The human iPSC initiative (HipSci) is assessing a large panel of cell lines to define cell phenotypes, dissect inter- and intra-line and donor variability and identify its key determinant components. Here we report the establishment of a high-content platform for phenotypic analysis of human iPSC lines. In the described assay, cells are dissociated and seeded as single cells onto 96-well plates coated with fibronectin at three different concentrations. This method allows assessment of cell number, proliferation, morphology and intercellular adhesion. Altogether, our strategy delivers robust quantification of phenotypic diversity within complex cell populations facilitating future identification of the genetic, biological and technical determinants of variance. Approaches such as the one described can be used to benchmark iPSCs from multiple donors and create novel platforms that can readily be tailored for disease modelling and drug discovery.

Indexed as

High-Throughput Screening AssaysPhenotypeAmino Acid SequenceCell AdhesionCell DifferentiationCell LineFeeder CellsFibronectinsHumansInduced Pluripotent Stem CellsMolecular ImagingMolecular Sequence DataPeptidesFibronectinsPeptidesCell based assaysHigh contentHuman pluripotent stem cellsInduced pluripotent stem cellsiPSCsPhenotype screening

Identifiers

PMID26608109
PMCPMC4773406

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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.