Evidence map›Paper›PMID 25649070›Full record

ArticleScience and engineering ethics2016

The Acid Test for Biological Science: STAP Cells, Trust, and Replication.

Cheryl Lancaster

Abstract read
PubMed Publisher
In one paragraph

Article in Science and engineering ethics, 2016. 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
1.4field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. 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

1 author at 1 institution in 1 country.

Cheryl LancasterDepartment of Philosophy, Durham University, 50 Old Elvet, Durham, DH1 3HN, UK. cheryl.lancaster@durham.ac.uk.
Durham University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In January 2014, a letter and original research article were published in Nature describing a process whereby somatic mouse cells could be converted into stem cells by subjecting them to stress. These "stimulus-triggered acquisition of pluripotency" (STAP) cells were shown to be capable of contributing to all cell types of a developing embryo, and extra-embryonic tissues. The lead author of the publications, Haruko Obokata, became an overnight celebrity in Japan, where she was dubbed the new face of Japanese science. However, in the weeks that followed publication of the research, issues arose. Other laboratories and researchers (including authors on the original papers) found that they were unable to replicate Obokata et al.'s work. Closer scrutiny of the papers by the scientific community also suggested that there was manipulation of images that had been published, and Obokata was accused of misconduct. Those who should have been supervising her work (also her co-authors on the publications) were also heavily criticised. The STAP cell saga of 2014 is used as an example to highlight the importance of trust and replication in twenty-first century biological science. The role of trust in the scientific community is highlighted, and the effects on interactions between science and the public examined. Similarly, this essay aims to highlight the importance of replication, and how this is understood by researchers, the media, and the public. The expected behaviour of scientists in the twenty-first century is now more closely scrutinised.

Indexed as

Pluripotent Stem CellsReproducibility of ResultsScientific MisconductTrustAnimalsBiological Science DisciplinesBiomedical ResearchEthics, ResearchHumansJapanMicePublishingResearch PersonnelScienceHaruko ObokataMisconductReplicationSTAP cellsTrust

Identifiers

PMID25649070
OpenAlexW2006488293

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.