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Computational Cytometry | Flow Cytometry Data Analysis in the Era of Quantitative Data Science

News from FlowMetric

  • Do’s And Don’ts Of Clinical Flow Cytometry View Post Summary

    We’ve given you advice about what to consider when planning clinical flow cytometry experiments. Now check out these ‘do’s and don’ts’ to get the most out of your next clinical flow experiment.

    Do - Know What Types Of Cells You Want To Identify.

    Some cells are very robust and are easy to identify in peripheral blood samples. Other cells die if you shake the tube the wrong way or they behave as if they have their own agenda. Take the time to do pilot experiments with samples that are not precious so you can work out a protocol that is robust and precise enough to identify your cells of interest in your valuable clinical samples.

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  • Insights Begin with a Single Cell: Detection of Phosphorylated Proteins Using Flow Cytometry View Post Summary

    Flow cytometry is a powerful technique that can analyze properties of individual cells and measure millions of cells at a time. Single cell analysis typically includes measurements of surface and intracellular proteins, but protein modifications can also be detected by flow cytometry. Phosphoflow assays measure phosphorylated proteins and offers several advantages over traditional lysate-based phosphorylation detection assays.

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  • Mind the Mechanism - Using Flow Cytometry to Determine Mechanisms of Action for Therapeutic Antibodies View Post Summary

    Immunotherapy research is a rapidly expanding field in which dozens of monoclonal antibodies are being developed to treat cancer and autoimmune diseases. The mechanism of action (MOA) used by an antibody to mediate a therapeutic response must be defined in order for a candidate antibody to advance down the preclinical development pipeline. Defining the MOA is necessary to fulfilling regulatory requirements for antibodies used in clinical trials and also critical to understanding if the antibody may cause any detrimental side effects.

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