Chapter title |
A Protocol for In Vitro High-Throughput Chemical Susceptibility Screening in Differentiating NT2 Stem Cells
|
---|---|
Chapter number | 5 |
Book title |
Cell Viability Assays
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6960-9_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6959-3, 978-1-4939-6960-9
|
Authors |
Ann-Katrin Menzner, Daniel F. Gilbert |
Editors |
Daniel F. Gilbert, Oliver Friedrich |
Abstract |
The incidence of neurological diseases including learning and developmental disorders has increased in recent years. Concurrently, the number and volume of worldwide registered and traded chemicals have also increased. There is a broad consensus that the developing brain is particularly sensitive to damage by chemicals and that evaluation of chemicals for developmental toxicity or neurotoxicity is critical to human health. Human pluripotent embryonal carcinoma (NTERA-2 or NT2) cells are increasingly considered as a suitable model for in vitro developmental toxicity and neurotoxicity (DT/DNT) studies as they undergo neuronal differentiation upon stimulation with retinoic acid (RA) and allow toxicity assessment at different stages of maturation. Here we describe a protocol for cell fitness screening in differentiating NT2 cells based on the analysis of intracellular ATP levels allowing for the identification of chemicals which are potentially harmful to the developing brain. The described method is suitable to be adapted to low-, medium-, and high-throughput screening and allows multiplexing with other cell fitness indicators. While the presented protocol focuses on cell fitness screening in human pluripotent stem cells it may also be applied to other in vitro models. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 31% |
Researcher | 3 | 23% |
Student > Doctoral Student | 1 | 8% |
Student > Bachelor | 1 | 8% |
Unknown | 4 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 23% |
Chemical Engineering | 1 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
Immunology and Microbiology | 1 | 8% |
Medicine and Dentistry | 1 | 8% |
Other | 2 | 15% |
Unknown | 4 | 31% |