Evidence map›Paper›PMID 33440181›Full record

ArticleStem cell reports2021

Challenges for Computational Stem Cell Biology: A Discussion for the Field.

Owen Rackham, Patrick Cahan, Nancy Mah, Samantha Morris, John F Ouyang, Anne L Plant, Yoshiaki Tanaka, Christine A Wells

Abstract readConference Proceedings
PubMed Full text at PMC Publisher
In one paragraph

Article in Stem cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. NETISCE: a network-based tool for cell fate reprogramming.NPJ systems biology and applications · 2022
    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

8 authors.

Owen RackhamProgram in Cardiovascular and Metabolic Disorders and Centre for Computational Biology, Duke-NUS Medical School, Singapore. Electronic address: owen.rackham@duke-nus.edu.sg.
Patrick CahanInstitute for Cell Engineering, Department of Biomedical Engineering, Department of Molecular Biology and Genetics, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
Nancy MahBiomedical Data and Bioethics Group, Fraunhofer Institute for Biomedical Engineering (IBMT), Joseph-von-Fraunhofer-Weg 1, 66280 Sulzbach, Germany.
Samantha MorrisDepartment of Developmental Biology, Department of Genetics, and Center of Regenerative Medicine, Washington University School of Medicine in St. Louis, 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA.
John F OuyangProgram in Cardiovascular and Metabolic Disorders and Centre for Computational Biology, Duke-NUS Medical School, Singapore.
Anne L PlantBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg MD, 20899 USA.
Yoshiaki TanakaDepartment of Genetics, Yale Stem Cell Center, Yale School of Medicine, New Haven, CT 06520, USA.
Christine A WellsCentre for Stem Cell Systems, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3010, Australia. Electronic address: wells.c@unimelb.edu.au.

Funding

Skeletal Muscle Regeneration from Differentiating Pluripotent Stem CellsR01AR055299 · NIAMS · UNIVERSITY OF MINNESOTA · PI PERLINGEIRO, RITA C. R. · 2008 to 2018
$3.3M
NIAMS NIH HHS R01 AR055299
6 · The paper itself

Abstract

The first meetup for Computational Stem Cell Biologists was held at the 2020 annual meeting of the International Society for Stem Cell Research. The discussions highlighted opportunities and barriers to computational stem cell research that require coordinated action across the stem cell sector.

Indexed as

Computational BiologyHumansResearchStem Cells

Identifiers

PMID33440181
PMCPMC8486950

What OpenQuestion holds

Textmetadata
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.