Evidence map›Paper›PMID 30693867›Full record

ArticleeLife2019

Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines.

Zeljana Babic, Amanda Capes-Davis, Maryann E Martone, Amos Bairoch, I Burak Ozyurt, Thomas H Gillespie, Anita E Bandrowski

Open access · goldAbstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  4. Cell line authentication and validation is a key requirement forJournal of cell communication and signaling · 2025
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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

7 authors at 3 institutions in 3 countries.

Zeljana BabicCenter for Research in Biological Systems, University of California, San Diego, San Diego, United States.
Amanda Capes-DavisChildren's Medical Research Institute, University of Sydney, Westmead, Australia.
Maryann E MartoneDepartment of Neuroscience, University of California, San Diego, United States.
Amos BairochComputer and Laboratory Investigation of Proteins of Human Origin, Swiss Institute of Bioinformatics, Geneva, Switzerland.
I Burak OzyurtCenter for Research in Biological Systems, University of California, San Diego, San Diego, United States.
Thomas H GillespieNeurosciences Graduate Program, University of California, San Diego, United States.ORCID 0000-0002-7509-4801
Anita E BandrowskiCenter for Research in Biological Systems, University of California, San Diego, San Diego, United States.ORCID 0000-0002-5497-0243
University of California San Diego · USThe University of Sydney · AUUniversity of Geneva · CH

Funding

NIDDK Network Coordinating UnitU24DK097771 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Shuibing Chen, Jeffrey S. Grethe · 2013 to 2026
$20.9M
Neurosciences Graduate Training ProgramT32NS061847 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Brenda L Bloodgood · 2008 to 2026
$7.7M
OPERATION, SUPPORT AND STRATEGIC ENHANCEMENT OF THE NEUROSCIENCE INFORMATION FRAMEWORKU24DA039832 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GRETHE, JEFFREY S., MARTONE, MARYANN E · 2015 to 2016
$2.0M
Sci-Score, a tool suite to support Rigor and Transparency NIH and Journal GuidelinesR44MH119094 · NIMH · SCICRUNCH, INC. · PI BANDROWSKI, ANITA E · 2018 to 2019
$1.5M
Sci-Score, a tool to support rigor and transparency guidelinesR43OD024432 · OD · SCICRUNCH, INC. · PI BANDROWSKI, ANITA E · 2017 to 2017
$222k
NIDA NIH HHS U24 DA039832NIDDK NIH HHS DK097771NIDDK NIH HHS U24 DK097771NIH Blueprint for Neuroscience Research DA039832NIH HHS MH119094NIH HHS R43 OD024432NIH Office of the Director OD024432NIMH NIH HHS R44 MH119094NINDS NIH HHS T32 NS061847
6 · The paper itself

Abstract

The use of misidentified and contaminated cell lines continues to be a problem in biomedical research. Research Resource Identifiers (RRIDs) should reduce the prevalence of misidentified and contaminated cell lines in the literature by alerting researchers to cell lines that are on the list of problematic cell lines, which is maintained by the International Cell Line Authentication Committee (ICLAC) and the Cellosaurus database. To test this assertion, we text-mined the methods sections of about two million papers in PubMed Central, identifying 305,161 unique cell-line names in 150,459 articles. We estimate that 8.6% of these cell lines were on the list of problematic cell lines, whereas only 3.3% of the cell lines in the 634 papers that included RRIDs were on the problematic list. This suggests that the use of RRIDs is associated with a lower reported use of problematic cell lines.

Indexed as

BibliometricsBiomedical ResearchCell LineCell Line AuthenticationData MiningHumansPeriodicals as TopicPubMedauthenticationcell linecomputational biologynonereproducibilityrigorsoftwaresystems biologytext mining

Identifiers

PMID30693867
PMCPMC6351100
OpenAlexW2915039166

What OpenQuestion 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 OpenQuestion graph.