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Related Concept Videos

Flow Cytometry01:23

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
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Published on: January 16, 2019

Exhaustive expansion: A novel technique for analyzing complex data generated by higher-order polychromatic flow

Janet C Siebert1, Lian Wang, Daniel P Haley

  • 1CytoAnalytics, Denver, CO, USA. jsiebert@cytoanalytics.com

Journal of Translational Medicine
|November 2, 2010
PubMed
Summary

Exhaustive Expansion simplifies complex flow cytometry data analysis, identifying novel cell phenotypes in cancer vaccines and wound healing studies. This approach aids in discovering clinically relevant cell populations from high-order polychromatic experiments.

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Area of Science:

  • Immunology
  • Stem Cell Biology
  • Bioinformatics

Background:

  • Higher-order polychromatic flow cytometry generates complex data challenging to analyze.
  • A novel data analysis approach, Exhaustive Expansion, is introduced to address this challenge.
  • This method derives and interrogates thousands of cell phenotypes from raw experimental data.

Purpose of the Study:

  • To present and validate the Exhaustive Expansion data analysis approach.
  • To demonstrate its applicability in analyzing complex flow cytometry data from distinct biological studies.
  • To identify novel cell phenotypes and biological insights from high-dimensional datasets.

Main Methods:

  • The Exhaustive Expansion approach was applied to two distinct studies.
  • Study 1: Longitudinal analysis of human memory T cells in response to a melanoma cancer vaccine using 5 monoclonal antibodies (mAbs).
  • Study 2: Measurement of stem cell mobilization in porcine bone marrow using 5 staining panels with 8 mAbs each.

Main Results:

  • Analysis of T cell populations suggests CD45RA, CD27, and CD28 may not be essential for defining central memory T cells (TCM).
  • Novel progenitor cell phenotypes, such as CD29+CD31+CD56+CXCR4+CD90+Sca1-CD44+, were identified in wounded porcine bone marrow.
  • These novel phenotypes were significantly increased in wounded animals compared to controls.

Conclusions:

  • Exhaustive Expansion facilitates comprehensive interrogation of complex, higher-order flow cytometry data.
  • The approach aids in the identification of potentially clinically relevant findings.
  • This method enhances the discovery of novel cell populations and biological insights from high-dimensional cytometry data.