Today is Friday, Sep. 20, 2019

Department of Environmental Health

Center for Environmental Genetics

 

Flow Cytometry

Flow cytometry resources include the ImmunoSpot® Analyzer.  ImmunoSpot® Analyzers are designed for scanning and evaluating single cell-based spots that reflect the protein expression, function, and growth of cells. Technically, the ImmunoSpot® S6 Micro’s zoom lens permits seamless switching from 6-, to 384-well plates and can zoom in for counting objects <10 µm in size – including individual cells. It is a low maintenance and high performance instrument for measuring the functional responses of and clustering growth derived from single cells at a high-throughput plate-based setting.

The ImmunoSpot® Analyzer can be applied to, but is not restricted to, CEG-supported or CEG-related studies involving the study of gene-environment (G-xE interactions) and the development of exposure- induced diseases and conditions.  Applications and aims may include

  • characterization the production of cytokine, surface markers, or soluble molecules from rare cancer stem cells with high sensitivity and accuracy to capture individual cells;
  • functional measurement of the cytokine production from rare immune cell subsets, e.g., regulatory T cells, anti-inflammatory immune cells, etc., from human samples in response to toxicant-treatment or environmental exposure;
  • many kits have been commercially developed for testing cytokine production that can be conveniently applied in toxicology studies; 
  • the growth of microbes from various pathogenic sources or from complex microbiota pools can be recorded, quantified, and differentiated using the high-resolution camera and analytical software, which can be applied for studying the environmental toxicity on microbiota.
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The ImmunoSpot® Analyzer is highly advantageous in functional characterization of rare cells from limited human samples and in the survey of rare subsets from exposure-related epidemiology studies using high-throughput microplate analyses

 

Research supported by the Center for Environmental Genetics should acknowledge NIEHS Award P30 ES006096