TPD-seq: A high throughput RNA-seq method to derive transcriptomic points of departure from cell lines
There is growing scientific and regulatory interest in transcriptomic points of departure (tPOD) values from high-throughput in vitro experiments. To further help democratize tPOD research, here we outline 'TPD-seq' which links microplate-based exposure methods involving cell lines for human (Caco-2, Hep G2) and environmental (rainbow trout RTgill-W1) health, with a commercially available RNA-seq kit, with a cloud-based bioinformatics tool (ExpressAnalyst.ca). We applied the TPD-seq workflow to derive tPODs for solvents (dimethyl sulfoxide, DMSO; methanol) and positive controls (3,4-dichloroaniline, DCA; hydrogen peroxide, H<sub>2</sub>O<sub>2</sub>) commonly used in toxicity testing. The majority of reads mapped to protein coding genes (∼9 k for fish cells; ∼6 k for human cells), and about 50 % of differentially expressed genes were curve-fitted from which 90 % yielded gene benchmark doses. The most robust transcriptomic responses were caused by DMSO exposure, and tPOD values were 31-155 mM across the cell lines. OECD test guideline 249 (RTgill-W1 cells) recommends the use of DCA and here we calculated a tPOD of ∼5 to 76 μM. Finally, exposure of the two human cell lines to H<sub>2</sub>O<sub>2</sub> resulted in tPOD values that ranged from 0.7 to 1.1 mM in Caco-2 cells and 5-30 μM in Hep G2 cells. The methods outlined here are designed to be performed in laboratories with basic molecular and cell culture facilities, and the performance and scalability of the TPD-seq workflow can be determined with additional case studies.
Authors
- Samuel Rulli
- Jianguo Xia (ORCID: https://orcid.org/0000-0003-2040-2624)
- Krittika Mittal
- Niladri Basu (ORCID: https://orcid.org/0000-0002-2695-1037)
- Ke Xu (ORCID: https://orcid.org/0000-0002-0471-0523)
- Guangyan Zhou
Institutions
- Qiagen (United States) (US)
- McGill University (CA)
Publication Details
- Journal
- Toxicology in Vitro
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1016/j.tiv.2024.106001
- Citations
- 3
- Primary Topic
- Molecular Biology Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.70
Funders
- Genome Canada
- Génome Québec
- Natural Sciences and Engineering Research Council of Canada