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Rita Folcarelli1, Selma van Staveren2,3, Roel Bouman4

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This study introduces ECLIPSE, a novel multivariate method for analyzing multicolor flow cytometry data. ECLIPSE identifies aberrant immune cells by reducing subjectivity and enhancing the discovery of disease-specific cell profiles.

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Area of Science:

  • Immunology
  • Computational Biology
  • Data Science

Background:

  • Multicolor Flow Cytometry (MFC) enables cellular phenotype identification via marker expression.
  • Manual gating in MFC is subjective, potentially losing critical information on co-expressed markers.
  • Multivariate approaches are necessary to analyze complex variations in multi-dimensional MFC data.

Purpose of the Study:

  • To introduce ECLIPSE (Elimination of Cells Lying in Patterns Similar to Endogeneity), a novel method for identifying and characterizing aberrant cells.
  • To overcome the limitations of manual gating in MFC by employing a multivariate approach.
  • To improve the focus and informativeness of data analyses for immune response studies.

Main Methods:

  • ECLIPSE combines Simultaneous Component Analysis for dimensionality reduction with Kernel Density Estimates.
  • A Difference between Densities (DbD) metric is used to remove non-specific cells overlapping between control and responder samples.
  • The method was validated on datasets from endotoxin-induced neutrophil response and asthma immune responses.

Main Results:

  • ECLIPSE provided insightful analysis of the endotoxin challenge, highlighting common responses and subtle differences among responders.
  • The method successfully characterized the heterogeneous immune response in asthma by stratifying patients based on disease-specific cell profiles.
  • ECLIPSE effectively focused subsequent analyses on immune response-specific cells, leading to more informative models.

Conclusions:

  • ECLIPSE offers a powerful, objective multivariate approach for analyzing complex MFC data.
  • The method enhances the discovery of cellular phenotypes and their association with disease states.
  • ECLIPSE facilitates a deeper understanding of immune variations in homeostasis and disease.