Corning Matrigel matrix has been trusted for over 35 years to support cutting-edge research in cell biology. The current list of 13,000+ citations for Matrigel matrix continues to grow, with researchers regularly finding new applications for this reconstituted extracellular matrix (ECM) from Engelbreth-Holm-Swarm (EHS) mouse sarcoma. The formulation has been used for metabolism and toxicology studies, as well as for the development of several types of tumor cell invasion assays and most recently as a staple in organoid models — in addition to countless other purposes.
There are a few strategies for getting the most out of Matrigel matrix. Here's a look at how to handle Matrigel matrix in its various applications, the best practices for doing so, and why it continues to be the most trusted and widely used extracellular matrix.
Selecting the Appropriate Matrigel Formulation
The standard Matrigel formulation (8-12 mg/mL) is suitable for the culture of polarized cells, such as epithelial cells. It promotes the differentiation of many cell types, including hepatocytes, neurons, beta-islets, mammary epithelial, endothelial, and smooth muscle cells. High concentration (HC) Matrigel (18-22 mg/mL) provides greater matrix stiffness and scaffold integrity. It's suitable in vivo cell delivery applications, such as plug assays in mice.
Use phenol red-free Matrigel matrix formulations for colorimetric or fluorescence assays and when estrogenic effects are a concern. Choose a growth factor reduced formulation for applications where a more highly defined basement membrane preparation is desired.
The hESC-qualified formulation of Matrigel matrix provides the reproducibility and consistency essential for human embryonic and induced pluripotent feeder-free stem cell culture.
Depending on your application and scale, you may want to consider cultureware precoated with Matrigel matrix. These include BioCoat dishes of 35-100 mm, BioCoat plates with six to 96 wells, and Matrigel matrix-3D plates with 96 or 384 wells to support spheroid and organoid models in a high throughput environment.