Improving cell health for single-cell proteomic analysis and immune monitoring

Speaker

Abstract
IsoPlexis’ single-cell proteomics is being applied widely to generate uniquely predictive insight into various biomarker studies, in a way that cannot be captured by traditional bulk metrics. Tissue based analysis remains a challenge based on the need to extract functionally viable cells for downstream single-cell omic analysis.
 
Incorporating automated tissue disaggregation devices into immune monitoring tissue analysis, upstream of the IsoLight Automated Proteomics Hub has been demonstrated to improve the ability to analyze rare functional subsets of live cells, that would be undetectable with other methods. This unlocks further areas to expand on a number of omic studies already being done on IsoPlexis’ systems, in areas like cancer immunology, infectious disease and vaccines, and inflammation and neurology.
 
IsoPlexis has revealed the presence of unique subsets of cells that are highly polyfunctional that uniquely predict correlates such as anti-tumor activity, immune persistence, protective immunity, and more. Recent data has revealed that more robust cells with higher polyfunctionality pave the way for a next generation integrated workflow for improved cell health and analytics for immune monitoring.
 
Learning objectives:
  • Understand the application of single-cell proteomics to generate uniquely predictive insight into various biomarker studies
  • Hear how automated tissue disaggregation improves the ability to analyze rare functional subsets of live cells
  • Review a recent study highlighting the positive impact of cells with higher polyfunctionality on immune monitoring

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