Insulin-Transferrin-Selenium-Ethanolamine
Based on 1 Customer Validation
Insulin-Transferrin-Selenium-Ethanolamine (ITS-X) is a cell culture supplement as well as a cell growth and adhesion promoter. Insulin-Transferrin-Selenium-Ethanolamine supports adhesion, pseudopodium formation, pseudopodium elongation and proliferation of adherent cancer cells in serum-free culture systems.
For research use only. We do not sell to patients.
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Storage:Pure form -20°C, 3 years ; In solvent -80°C, 6 months , -20°C, 1 month
Biological Activity
Description
In Vitro
Insulin-Transferrin-Selenium-Ethanolamine as a key component of DA-X serum-free medium, supports 8 adherent human cancer cell lines, namely HeLa, HepG2, A549, Panc‑1, SH‑SY5Y, SW620, PC‑3, and MCF‑7, to achieve stable adhesion, form slender pseudopodia, and maintain vigorous proliferation over a 5-day culture period[1].
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only. Further protocols information, click here.
Chemical Information
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Appearance Liquid
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Color Colorless to light yellow
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SMILES
[Insulin-Transferrin-Selenium-Ethanolamine]
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Synonyms
ITS-X
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Shipping
Room temperature in continental US; may vary elsewhere.
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Storage
Pure form -20°C 3 years In solvent -80°C 6 months -20°C 1 month
Protocols
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Protocol for Cell Counting and Cell Density Analysis
Cell counting and cell-density analysis estimate the number of cells in a known volume or field area. Manual hemocytometer counting uses a chamber of defined geometry to convert counted cells into cells/mL, while automated counters and image-analysis workflows detect cell objects from optical, brightfield, fluorescence, impedance, or digital-image features. Trypan blue viability counting is based on dye exclusion: viable cells with intact membranes exclude dye, while non-viable cells with compromised membranes stain blue. The readout is total cell density, viable-cell density, dead-cell density, and percent viability. Cell density can also be estimated from microscopy images by counting objects per image area, from flow cytometry using calibrated volume or reference particles, or from in situ microscopy in bioreactors after calibration against reference methods such as hemocytometer or flow cytometry.
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Research Protocol for Endocrine Diseases
Endocrine diseases often arise from disrupted hormone production, hormone signaling, or target-tissue responsiveness; for diabetes-focused endocrine disease models, insulin signaling regulates glucose uptake, hepatic glucose output, lipid metabolism, and β-cell compensation. Type 2 diabetes develops through interacting defects in insulin resistance, β-cell dysfunction, adipose inflammation, hepatic glucose overproduction, altered incretin signaling, and ectopic lipid metabolism. A major unresolved question is whether endocrine dysfunction is driven primarily by target-tissue insulin resistance, intrinsic β-cell failure, immune/inflammatory stress, or combined multi-organ failure that differs by disease stage.
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Somatic Cell Culture
A method of simulating the in vivo environment in vitro to maintain the cell growth, differentation and main functions.
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CCK-8/WST-8 Cell Proliferation Assay
The CCK-8/WST-8 assay is based on the reduction of the water-soluble tetrazolium salt WST-8 to a water-soluble formazan product by cellular dehydrogenases in metabolically active cells, where the generated formazan amount is proportional to the number of living cells and is quantified by measuring absorbance in the visible range, providing a colorimetric readout for cell viability and proliferation assessment. This class of tetrazolium-based assays improves upon earlier MTT-based systems by producing a water-soluble formazan, eliminating the need for organic solubilization steps and enabling direct spectrophotometric measurement in culture medium.
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Cell Counting-Based Growth Curve Assay
Cell counting-based growth curve assays quantify cell proliferation by directly measuring changes in viable cell number over time using manual or automated counting methods such as hemocytometer-based counting or instrument-assisted cell enumeration, enabling construction of growth curves that reflect population expansion dynamics in response to culture conditions. A widely used approach is trypan blue exclusion with hemocytometer counting, where membrane-compromised (non-viable) cells take up the dye, allowing discrimination between viable and non-viable cells while simultaneously enabling total cell number quantification. Repeated sampling across time points allows estimation of proliferation rate, growth phases, and comparative growth kinetics between experimental conditions.
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MTT Cell Proliferation Assay
The MTT assay is a colorimetric endpoint assay for estimating viable cell number, cell growth, cytotoxicity, or cell activation in cultured mammalian cells. Living cells reduce the yellow tetrazolium salt MTT into purple/blue formazan, while dead cells do not generate the same signal; the resulting color can be quantified with a multiwell spectrophotometer. MTT reduction is commonly interpreted as a readout of metabolic activity that often correlates with viable cell number, but it should not be treated as a direct cell-counting method unless the assay is optimized for the cell type and experimental condition. Studies show that MTT reduction can involve mitochondrial and non-mitochondrial reducing systems, and formazan may accumulate in intracellular lipid droplets rather than simply marking mitochondria.
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Cell Viability Determination by MTT Colorimetric Assay
The following protocol uses the MTT colorimetric assay as a classic literature-established method for assessing cell viability/metabolic activity in cultured mammalian cells. MTT[3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide] is reduced by metabolically active cells to a colored formazan product; the amount of formazan is quantified spectrophotometrically and provides an indirect measure of metabolically active viable cells. Importantly, MTT reduction reflects cellular oxidoreductase/metabolic activity rather than an absolute direct count of living cells, so changes in cellular metabolism can alter the signal independently of cell number.
Purity & Documentation
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Data Sheet (261 KB)
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SDS (252 KB)
- English - EN (252 KB)
- Français - FR (252 KB)
- Deutsch - DE (252 KB)
- Norwegian - NO (252 KB)
- Español - ES (252 KB)
- Swedish - SV (252 KB)
- Italian - IT (252 KB)
- Korean - KR (252 KB)
- Portuguese - PT (252 KB)
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Handling Instructions (2659 KB)
References
Calculators
Concentration (start) × Volume (start) = Concentration (final) × Volume (final)