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Human solid tumor cytomics: revealing novel melanoma and immune cell subsets

Jun 27, 2016

We know that cellular heterogeneity in the tumor microenvironment complicates the diagnosis and treatment of cancer. Tumors are complex, dynamic systems composed of diverse cell types in various functional states, including cancer cells and infiltrating immune cells. Resolving this cellular heterogeneity requires a single-cell approach, as analyses on bulk cell preparations mask the heterogeneity and complexity of the biological system and may lead researchers down the wrong path.
Cutting-edge single-cell analysis tools for exploring the genomic, transcriptomic and proteomic states of both tumor and related immune cells are enabling researchers to understand system heterogeneity, identify cells with previously unrecognized phenotypes and elucidate important therapeutic mechanisms.
Tumors are composed of diverse cell types, including cancer cells that can differentially evade therapy and immune cells that may aid or impede treatment. This webinar highlights high-content single-cell approaches developed by the Irish lab for systems immunology and cancer biology studies of human solid tumors, including melanoma and brain cancer. It also discusses technical and biological quality controls, computational analysis and the strengths of combining single-cell approaches, such as mass cytometry, phospho-flow, imaging, transcript profiling and sequencing. These cytomic approaches are especially powerful for dissecting cellular mechanisms of treatment response, monitoring key biomarkers and precise targeting of clinically relevant cell subsets.
Click to watch the video: https://www.fluidigm.com/media#075976ec-8d88-4516-b438-2909ad8f01b0

 

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Fluidigm

Fluidigm is a Molecular and Single Cell Biology company that creates microfluidic-based chips and instrumentation for Life-Science research.

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A new standard for high-throughput real-time PCR, end-point PCR and digital PCR

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Time-of-Flight Mass Cytometer for highly multi-parametric single cell data

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