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Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines
- Source :
- eLife, Babic, Zeljana; Capes-Davis, Amanda; Martone, Maryann E; Bairoch, Amos; Ozyurt, I Burak; Gillespie, Thomas H; et al.(2019). Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines. ELIFE, 8. doi: 10.7554/eLife.41676. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/8286k051, eLife, Vol. 8 (2019) P. e41676, eLife, Vol 8 (2019)
- Publication Year :
- 2019
- Publisher :
- eScholarship, University of California, 2019.
-
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.
- Subjects :
- 0301 basic medicine
PubMed
Biomedical Research
QH301-705.5
ddc:025.063/570
none
Science
Computational biology
text mining
Biology
General Biochemistry, Genetics and Molecular Biology
Meta-Research
03 medical and health sciences
0302 clinical medicine
computational biology
None
Humans
Data Mining
Biology (General)
reproducibility
ddc:616
General Immunology and Microbiology
software
General Neuroscience
Feature Article
systems biology
General Medicine
cell line
3. Good health
rigor
030104 developmental biology
Cellosaurus
Bibliometrics
Cell Line Authentication
Medicine
authentication
Biochemistry and Cell Biology
Periodicals as Topic
030217 neurology & neurosurgery
Computational and Systems Biology
Subjects
Details
- ISSN :
- 2050084X
- Database :
- OpenAIRE
- Journal :
- eLife, Babic, Zeljana; Capes-Davis, Amanda; Martone, Maryann E; Bairoch, Amos; Ozyurt, I Burak; Gillespie, Thomas H; et al.(2019). Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines. ELIFE, 8. doi: 10.7554/eLife.41676. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/8286k051, eLife, Vol. 8 (2019) P. e41676, eLife, Vol 8 (2019)
- Accession number :
- edsair.doi.dedup.....9d6ffaa2acb50a010b28fa534e2ea67d
- Full Text :
- https://doi.org/10.7554/eLife.41676.