Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines
Year: 2019
Type: article
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.
Source: eLife
DOI: 10.7554/elife.41676
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,500
Funders: National Institutes of Health, National Institute of Mental Health, National Institute on Drug Abuse, NIH Office of the Director, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Neurological Disorders and Stroke, NIH Blueprint for Neuroscience Research
Awards: G2621004222, OPERATION, SUPPORT AND STRATEGIC ENHANCEMENT OF THE NEUROSCIENCE INFORMATION FRAMEWORK, Sci-Score, a tool to support rigor and transparency guidelines, G573798717, G6312945067, G684805955, G7908032411, G833363242, G9000288898, dkNET Coordinating Unit: Harnessing the Power of AI and Data Science forCollaborative Discovery and Sharing in the DK Community
OpenAlex ID: W2915039166