Product nameMTS Assay Kit (Cell Proliferation) (Colorimetric)
See all Cell viability/proliferation kits
Sample typeAdherent cells, Suspension cells
Assay time4h 00m
MTS Assay Kit ab197010 uses a colorimetric method for the sensitive quantification of viable cells. It can be used to assess cell proliferation, cell viability and cytotoxicity.
The MTS assay protocol is based on the reduction of the MTS tetrazolium compound by viable mammalian cells (and cells from other species) to generate a colored formazan dye that is soluble in cell culture media. This conversion is thought to be carried out by NAD(P)H-dependent dehydrogenase enzymes in metabolically active cells. The formazan dye is quantified by measuring the absorbance at 490-500 nm.
The MTS assay protocol is performed by adding the MTS reagent directly into the cell culture media, without the intermittent steps which are required in the routine MTT assay. In addition, this high-throughput assay requires no washing or solubilization step and can be performed in a 96-well microtiter plate.
MTS assays are often used for the measurement of cell proliferation in response to growth factors, cytokines, mitogens, and nutrients, etc. They are also used for the analysis of cytotoxic compounds like anticancer drugs and other toxic agents.
Storage instructionsStore at -20°C. Please refer to protocols.
Components 500 tests 2500 tests 250 tests 5000 tests 10000 tests MTS Reagent 1 x 10ml 1 x 50ml 1 x 5ml 1 x 100ml 1 x 200ml
RelevanceCell proliferation is the multiplication or reproduction of cells, as a result of cell growth and cell division, resulting in the expansion of a cell population.
This product has been referenced in:
- Leipnitz G et al. Evaluation of mitochondrial bioenergetics, dynamics, endoplasmic reticulum-mitochondria crosstalk, and reactive oxygen species in fibroblasts from patients with complex I deficiency. Sci Rep 8:1165 (2018). Human . Read more (PubMed: 29348607) »
- Devarajan A et al. Paraoxonase 2 overexpression inhibits tumor development in a mouse model of ovarian cancer. Cell Death Dis 9:392 (2018). Read more (PubMed: 29531225) »