Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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

Shrunken Median Location Effect Estimates: An Application to Immuno-Oncology.

Journal of probability and statistics·2026

Same author

Human vaccine responses regulated by parallel cytokine pathways.

Nature immunology·2026

Same author

Early immune events during SARS-CoV-2 infection impact memory T and B cell responses.

Communications biology·2026

Same author

Immune Aging is an Independent Risk Factor for Cardiovascular Disease.

bioRxiv : the preprint server for biology·2026

Same author

Plasma proteomic signatures of preclinical Alzheimer's disease in clinically unimpaired older adults.

Molecular neurodegeneration·2026

Same author

DNA methylation profiles at hospital admission are associated with subsequent severe COVID-19 outcomes.

Clinical epigenetics·2026

Same journal

The scaffolding protein AKAP79/150 shapes innate immune responses to allergen.

Journal of immunology (Baltimore, Md. : 1950)·2026

Same journal

Optineurin restrains IL-17-associated neuroinflammation in trigeminal ganglia to preserve sensory function after ocular HSV-1 infection.

Journal of immunology (Baltimore, Md. : 1950)·2026

Same journal

Crystal structure and immune single-cell atlas provide insights into the functional divergence of type I IFNs in fish.

Journal of immunology (Baltimore, Md. : 1950)·2026

Same journal

Complement C3 deficiency increases the effector and cytotoxic functions of NK cells and suppresses tumor growth.

Journal of immunology (Baltimore, Md. : 1950)·2026

Same journal

Increased Nur77 is disconnected from TCR affinity in insulin-specific Tregs.

Journal of immunology (Baltimore, Md. : 1950)·2026

Same journal

FTR85 negatively regulates type I IFN antiviral signaling pathway by promoting K48-linked polyubiquitination of IRF3.

Journal of immunology (Baltimore, Md. : 1950)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 6, 2026

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

Algorithmic Tools for Mining High-Dimensional Cytometry Data.

Cariad Chester¹, Holden T Maecker²

¹The Human Immune Monitoring Center, Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA 94305; and Division of Oncology, Department of Medicine, Stanford University, Stanford, CA 94305.

Journal of Immunology (Baltimore, Md. : 1950)

|July 19, 2015

Summary

This summary is machine-generated.

Mass cytometry generates complex data. This review explores computational data mining tools to analyze this data, aiding immunologists in selecting appropriate methods for their research.

More Related Videos

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore

Published on: December 12, 2019

Sample Preparation for Mass Cytometry Analysis

Sample Preparation for Mass Cytometry Analysis

Published on: April 29, 2017

Related Experiment Videos

Last Updated: Apr 6, 2026

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore

Published on: December 12, 2019

Sample Preparation for Mass Cytometry Analysis

Sample Preparation for Mass Cytometry Analysis

Published on: April 29, 2017

Area of Science:

Immunology
Computational Biology
Data Science

Background:

Mass cytometry enables high-dimensional analysis of immune cells, generating vast datasets.
Traditional manual gating methods are subjective, time-consuming, and fail to leverage full data potential.
Analyzing complex, high-dimensional cytometric data requires advanced computational approaches.

Purpose of the Study:

To review computational data mining tools applied to mass cytometry data.
To outline the differences, strengths, and limitations of these analytical methods.
To assist immunologists in selecting suitable algorithmic tools for their research projects.

Main Methods:

Review of existing literature on computational data mining tools for mass cytometry.
Comparative analysis of different algorithmic approaches.
Discussion of tool applicability and performance characteristics.

Main Results:

Several computational data mining tools have been applied to mass cytometry data.
These tools offer potential solutions to overcome limitations of manual gating.
Each tool possesses unique strengths and weaknesses depending on the analytical task.

Conclusions:

Algorithmic data mining is crucial for extracting meaningful insights from high-dimensional mass cytometry data.
Understanding the characteristics of different tools is essential for effective data analysis.
This review provides guidance for immunologists to choose appropriate computational methods.