Investigate cancer genetics – one cell at a time
You want to research how tumor heterogeneity – the degree and statistics that describe the genetic differences between tumor cells – drives cellular responses to drug compounds? You are looking for genetics or epigenetic features that predict self renewal capabilities of tumor stem cells? You want to go beyond enumerating the number of circulating tumor cells (CTCs) to determine the genetic fingerprint of individual CTCs? Analyze microRNAs to characterize cancer stem cells?
With the AmpliGrid system, Beckman Coulter offers a simple, affordable and reliable method for molecular analysis single tumor cells.
OUR SOLUTION
Many of our customers are cancer researchers; they have helped us to constantly refine and improve our workflows and applications to suit the needs of the oncology research community:
• Workflow solutions for genetic analysis (including microRNA) of circulating tumor cells/ tumor stem cells with Veridex CellTracks®, flow cytometry or micromanipulation interfaces into front sample enrichment (for more information read about us in Genetic Engineering & Biotechnology News here)
• Simple and cost effective integration with flow cytometry
• Open, cost effective single cell workflow
• Protocols for typical oncology applications, such as detection of single virus copies, or multiplex rtPCR or qPCR on lymphocytes
• A community of oncology researchers share experiences such as Massimo Cristofanilli and Jim Reuben at the MD Anderson Cancer Center, Dr. Dürst at Jena University, and Laurie Jackson-Grusby at the Boston Children’s Hospital
USER STORIES
• Prof. Dr. med. Katharina Pachmann studies CTCs in breast cancer research
• MD Anderson studies CTCs in breast cancer research
• Prof Dürst at Jena identifies viruses in tumor cells
• Dr. Laurie Jackson Grusby searches for brain tumor stem cells
• Dr. Marc Martignoni genetically characterizes CTCs in pancreatic cancer
• Dr. Massimo Cristofanilli’s lab analyses microRNAs on individual cells to develop methods to characterize cancer stem cells
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