Brain Tumor Dissociation Kit

Brain Tumor Dissociation Kit

The Brain Tumor Dissociation Kits have been developed specifically for the gentle and effective tissue dissociation of human and mouse brain tumors, such as glioblastoma multiforme (GBM) or medulloblastoma. Since tumor tissue can be sticky it is recommended to use the kit in combination with the gentleMACS™ Dissociator or the gentleMACS Octo Dissociator. In less than an hour, the tissue dissociation procedure efficiently yields high numbers of viable cells. Dissociated cells are immediately ready for further applications such as cell culture, flow cytometry, molecular applications, or for cell isolation using MACS® Technology.

Background information

The quality of starting material is important for any experiment, and a perfect single-cell suspension is a prerequisite for many downstream applications. Glioblastoma, neuroblastoma, medulloblastoma, xenograft brain tumor samples can be effectively dissociated into single-cell suspensions using the Brain Tumor Dissociation Kit
and a gentleMACS™ Dissociator.
The Brain Tumor Dissociation Kits (T) and (P) are based on trypsin and papain, respectively. Some antigen epitopes are degraded by papain, others by trypsin. The kit based on papain is best suited for use with CD133 MicroBeads, CD11b (Microglia) MicroBeads and Anti-A2B5 MicroBeads, whereas, for example, the Anti-GLAST (ACSA-1) MicroBead Kit requires the use of the trypsin-based kit.
Please see Figure 1 in the gallery for further information with regard to epitope sensitivity and kit selection. In general, a papain-based protocol gives by far the highest yield of viable cells.
Myelin Removal Beads II are recommended to effectively deplete myelin debris from the resulting single cell suspension for determination of the cell numbers and improved downstream applications like magnetic cell isolation.

How-to isolate pure viable microglia

Watch this hands-on protocol showing you how to isolate microglial cells from adult mouse brain. The Miltenyi Biotec protocol is faster, standardized, reproducible, and easy to scale up.

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