Evidence map›Paper›PMID 39332404›Full record

ReviewStem cell reports2024

Guidelines for managing and using the digital phenotypes of pluripotent stem cell lines.

Christine A Wells, Anke Guhr, Amos Bairoch, Ying Chen, Mengqi Hu, Peter Löser, Tenneille E Ludwig, Nancy Mah, Sabine C Mueller, Andrea E M Seiler Wulczyn and 3 more

Abstract readReview
In one paragraph

Review in Stem cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Commentary: towards a national research infrastructure strategy for preclinical biological models in Australia.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    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

13 authors.

Christine A WellsStem Cell Systems, Department of Anatomy and Physiology, Medical, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC 3010, Australia. Electronic address: wells.c@unimelb.edu.au.
Anke GuhrRobert Koch Institute, 13353 Berlin, Germany.
Amos BairochUniversity of Geneva and SIB Swiss Institute of Bioinformatics, CMU, 1 Rue Michel Servet, 1211 Geneva, Switzerland.
Ying ChenFraunhofer Institute for Biomedical Engineering (IBMT), Joseph-von-Fraunhofer Weg 1, 66280 Sulzbach, Germany.
Mengqi HuStem Cell Systems, Department of Anatomy and Physiology, Medical, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC 3010, Australia.
Peter LöserRobert Koch Institute, 13353 Berlin, Germany.
Tenneille E LudwigWiCell Research Institute, Madison, WI, USA.
Nancy MahFraunhofer Institute for Biomedical Engineering (IBMT), Joseph-von-Fraunhofer Weg 1, 66280 Sulzbach, Germany.
Sabine C MuellerFraunhofer Institute for Biomedical Engineering (IBMT), Joseph-von-Fraunhofer Weg 1, 66280 Sulzbach, Germany.
Andrea E M Seiler WulczynRobert Koch Institute, 13353 Berlin, Germany.
Stefanie SeltmannFraunhofer Institute for Biomedical Engineering (IBMT), Joseph-von-Fraunhofer Weg 1, 66280 Sulzbach, Germany.
Bella RossbachFraunhofer Institute for Biomedical Engineering (IBMT), Joseph-von-Fraunhofer Weg 1, 66280 Sulzbach, Germany.
Andreas KurtzFraunhofer Institute for Biomedical Engineering (IBMT), Joseph-von-Fraunhofer Weg 1, 66280 Sulzbach, Germany; Berlin Institute of Health Center for Regenerative Therapies at Charité, Berlin, Germany. Electronic address: andreas.kurtz@bih-charite.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Each pluripotent stem cell line has a physical entity as well as a digital phenotype, but linking the two unambiguously is confounded by poor naming practices and assumed knowledge. Registration gives each line a unique and persistent identifier that links to phenotypic data generated over the lifetime of that line. Registration is a key recommendation of the 2023 ISSCR Standards for the use of human stem cells in research. Here we consider how community adoption of stem cell line registration could facilitate the establishment of integrated digital phenotypes of specific human pluripotent stem cell (hPSC) lines.

Indexed as

PhenotypePluripotent Stem CellsCell LineGuidelines as TopicHumans

Identifiers

PMID39332404
PMCPMC11561460

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.