Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A new spreadsheet method for the analysis of bivariate flow cytometric data.

George Tzircotis1, Rick F Thorne, Clare M Isacke

  • 1Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK. george.tzircotis@icr.ac.uk

BMC Cell Biology
|March 24, 2004
PubMed
Summary

This study introduces a novel Excel spreadsheet to analyze flow cytometry data, simplifying the comparison of cell receptor-ligand interactions. The method allows for accurate analysis of ligand binding, even with varying receptor expression levels, improving data interpretation.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hypoxia-driven lncRNA SHIELD promotes GPX4 translation and protects against ferroptosis in hepatocellular carcinoma.

Molecular cell·2026
Same author

HPCAL1 promotes colorectal cancer progression via TCF7/p65-mediated Wnt ligand upregulation and Wnt/β-catenin pathway activation.

Oncogenesis·2026
Same author

DangGui NianTong Decoction attenuates intervertebral disc degeneration by mitigating nucleus pulposus cell senescence and apoptosis through autophagy induction.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

Spatial profiling uncovers multicellular dynamics in early relapse of hepatitis B virus-associated follicular lymphoma.

Communications biology·2026
Same author

Glutamine Deprivation Triggers Tribbles Homolog 3 Dependent G-Quadruplex Resolution to Maintain DNA Repair and Tumor Survival.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

DCAF13 Safeguards Hematopoietic Stem Cells via RRS1-Regulated Ribosome Biogenesis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Area of Science:

  • Cell biology
  • Immunology
  • Biotechnology

Background:

  • Flow cytometry is crucial for studying cell receptor-ligand interactions.
  • Variable receptor expression levels complicate the interpretation of ligand binding data.
  • Existing methods struggle to accurately compare ligand binding when receptor expression is not constant.

Purpose of the Study:

  • To develop a Microsoft Excel spreadsheet for simplifying flow cytometry data analysis.
  • To enable accurate statistical testing and graphical representation of results.
  • To overcome limitations in analyzing ligand binding with variable receptor expression.

Main Methods:

  • Development of a Microsoft Excel spreadsheet for post-acquisition data analysis.
  • Application of the spreadsheet to analyze CD44 receptor-ligand interactions with hyaluronan.

Related Experiment Videos

  • Comparison of ligand binding in cells with varying CD44 expression levels and constructs.

    • Main Results:

    • The spreadsheet method effectively demonstrates that increased hyaluronan binding is due to receptor activation upon phorbol ester treatment.
    • Ligand binding could be compared between cell populations with unequal CD44 expression (WT CD44 vs. CD44-T) without cell sorting.
    • Hyaluronan binding requires a threshold CD44 expression, which is higher for CD44-T, indicating the cytoplasmic domain's role in receptor presentation.

    Conclusions:

    • A simple post-acquisition method for analyzing bivariate flow cytometry data is provided.
    • This method improves upon standard graphical outputs for flow cytometry.
    • Ligand binding can be reliably compared between cell populations regardless of receptor expression levels.