Evidence map›Paper›PMID 27405781›Full record

ArticleStem cells translational medicine2016

First Proposal of Minimum Information About a Cellular Assay for Regenerative Medicine.

Kunie Sakurai, Andreas Kurtz, Glyn Stacey, Michael Sheldon, Wataru Fujibuchi

Open access · goldAbstract read
In one paragraph

Article in Stem cells translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Towards an Open-Source Platform to Harmonize and Share Research Results from COVID-19 Interventional and Observational Studies.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023
    Article
  8. Review
  9. A Web-based Platform to Share Harmonized Results from COVID-19 Clinical Studies.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Informatics Approaches for Harmonized Intelligent Integration of Stem Cell Research.Stem cells and cloning : advances and applications · 2020
    Review
  16. Article
  17. Article
  18. 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

5 authors at 4 institutions in 4 countries.

Kunie SakuraiCenter for iPS Cell Research and Application, Kyoto University, Shogoin, Sakyo-ku, Kyoto, Japan.
Andreas KurtzCharité-Universitätsmedizin Berlin, Berlin-Brandenburg Center for Regenerative Therapies, Berlin, Germany.
Glyn StaceyNational Institute for Biological Standards and Control, an Operating Centre of the Medicines and Healthcare Products Regulatory Agency, South Mimms, United Kingdom.
Michael SheldonDepartment of Genetics and Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Wataru FujibuchiCenter for iPS Cell Research and Application, Kyoto University, Shogoin, Sakyo-ku, Kyoto, Japan fujibuchi-g@cira.kyoto-u.ac.jp.
Kyoto University · JPCharité - Universitätsmedizin Berlin · DENational Institute for Biological Standards and Control · GBRutgers, The State University of New Jersey · US

Funding

NIMH Center Repository Supporting Stem Cell ResearchU24MH068457 · NIMH · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI BRZUSTOWICZ, LINDA M, KNOWLES, JAMES A · 2003 to 2024
$213.8M
The NINDS Human Cell and Data Repository (U24 renewal)U24NS095914 · NINDS · RUTGERS, THE STATE UNIV OF N.J. · PI Azadeh Jadali, JAMES A KNOWLES · 2015 to 2026
$15.9M
Medical Research Council MR/L01324X/1NIMH NIH HHS U24 MH068457NINDS NIH HHS U24 NS095914
6 · The paper itself

Abstract

: Advances in stem cell research have triggered scores of studies in regenerative medicine in a large number of institutions and companies around the world. However, reproducibility and data exchange among laboratories or cell banks are constrained by the lack of a standardized format for experiments. To enhance information flow in stem cell and derivative cell research, here we propose a minimum information standard to describe cellular assay data to facilitate practical regenerative medicine. Based on the existing Minimum Information About a Cellular Assay, we developed Minimum Information About a Cellular Assay for Regenerative Medicine (MIACARM), which allows for the description of advanced cellular experiments with defined taxonomy of human cell types. By using controlled terms, such as ontologies, MIACARM will provide a platform for cellular assay data exchange among cell banks or registries that have been established at more than 20 sites in the world. SIGNIFICANCE: Currently, there are more than 20 human cell information storage sites around the world. However, reproducibility and data exchange among different laboratories or cell information providers are usually inadequate or nonexistent because of the lack of a standardized format for experiments. This study, which is the fruit of collaborative work by scientists at stem cell banks and cellular information registries worldwide, including those in the U.S., the U.K., Europe, and Japan, proposes new minimum information guidelines, Minimum Information About a Cellular Assay for Regenerative Medicine (MIACARM), for cellular assay data deposition. MIACARM is intended to promote data exchange and facilitation of practical regenerative medicine.

Indexed as

Stem Cell ResearchHumansRegenerative MedicineRegistriesStem CellsTissue BanksBiological specimen banksInformation sharingQuality controlRegenerative medicineStandardsStem cells

Identifiers

PMID27405781
PMCPMC5031183
OpenAlexW2475159815

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.