Co-occurrence of Cell Lines, Basal Media and Supplementation in the Biomedical Research Literature
Article Category: Research Paper
Pubblicato online: 03 lug 2020
Pagine: 161 - 177
Ricevuto: 31 gen 2020
Accettato: 23 apr 2020
DOI: https://doi.org/10.2478/jdis-2020-0016
Parole chiave
© 2020 Jessica Cox et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Purpose
The use of in vitro cell culture and experimentation is a cornerstone of biomedical research, however, more attention has recently been given to the potential consequences of using such artificial basal medias and undefined supplements. As a first step towards better understanding and measuring the impact these systems have on experimental results, we use text mining to capture typical research practices and trends around cell culture.
Design/methodology/approach
To measure the scale of in vitro cell culture use, we have analyzed a corpus of 94,695 research articles that appear in biomedical research journals published in ScienceDirect from 2000–2018. Central to our investigation is the observation that studies using cell culture describe conditions using the typical sentence structure of cell line, basal media, and supplemented compounds. Here we tag our corpus with a curated list of basal medias and the Cellosaurus ontology using the Aho-Corasick algorithm. We also processed the corpus with Stanford CoreNLP to find nouns that follow the basal media, in an attempt to identify supplements used.
Findings
Interestingly, we find that researchers frequently use DMEM even if a cell line's vendor recommends less concentrated media. We see long-tailed distributions for the usage of media and cell lines, with DMEM and RPMI dominating the media, and HEK293, HEK293T, and HeLa dominating cell lines used.
Research limitations
Our analysis was restricted to documents in ScienceDirect, and our text mining method achieved high recall but low precision and mandated manual inspection of many tokens.
Practical implications
Our findings document current cell culture practices in the biomedical research community, which can be used as a resource for future experimental design.
Originality/value
No other work has taken a text mining approach to surveying cell culture practices in biomedical research.