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 Concept Videos

Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

694
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
694
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

1.7K
Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
1.7K
Overview of Microsoft Excel as a Data Analysis Tool01:13

Overview of Microsoft Excel as a Data Analysis Tool

1.5K
Microsoft Excel is a cornerstone tool for data analysis and statistical operations, offering a wide array of functionalities to manage, analyze, and visualize data efficiently. Recognized for its versatility, Excel facilitates the performance of basic to complex statistical operations, serving as an indispensable asset for analysts, researchers, and students alike. Excel's significance in data analysis emanates from its spreadsheet environment, where data can be organized in rows and...
1.5K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.4K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.4K
Performing a Simple Data Analysis using MS-Excel Function01:17

Performing a Simple Data Analysis using MS-Excel Function

934
Microsoft Excel offers a suite of functions and tools ideal for statistical analysis, making it accessible to students and researchers. This article outlines fundamental Excel functions pivotal for data analysis.
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
934
Atomic Mass01:52

Atomic Mass

69.8K
Atoms — and the protons, neutrons, and electrons that compose them — are extremely small. For example, a carbon atom weighs less than 2 × 10−23 g. When describing the properties of tiny objects such as atoms, we use appropriately small units of measure, such as the atomic mass unit (amu). The amu was originally defined based on hydrogen, the lightest element, then later in terms of oxygen. Since 1961, it has been defined with regard to the most abundant isotope of carbon, atoms of which...
69.8K

You might also read

Related Articles

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

Sort by
Same author

Heterogeneity of the intestinal mononuclear phagocyte compartment in health and inflammatory bowel disease.

Science immunology·2025
Same author

Fibroblast diversity within human gut-associated lymphoid tissues.

The Journal of experimental medicine·2025
Same author

A neoantigen vaccine generates antitumour immunity in renal cell carcinoma.

Nature·2025
Same author

Stochastic demethylation and redundant epigenetic suppressive mechanisms generate highly heterogeneous responses to pharmacological DNA methyltransferase inhibition.

Journal of experimental & clinical cancer research : CR·2025
Same author

Single-cell sequencing unveils extensive intratumoral heterogeneity of cancer/testis antigen expression in melanoma and lung cancer.

Journal for immunotherapy of cancer·2024
Same author

Publisher Correction: Semaphorin 3A causes immune suppression by inducing cytoskeletal paralysis in tumour-specific CD8<sup>+</sup> T cells.

Nature communications·2024
Same journal

Tracking Synthetic Adhesins on Bacterial Surfaces with Immunofluorescence Microscopy.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Post-Selection Methods for Analyzing mRNA Display Selections and Optimization of Hits.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

High-Performance Computing in Tandem Mass Spectrometry (MS/MS) Peptide Identification.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Engineering and Adapting Disulfide-Containing Proteins to Enable Intracellular Functionality.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

AI-Driven Protein Research: From Prediction to Design.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Methods for the In Vitro Selection of Protein and Peptide Libraries Using mRNA Display.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

Related Experiment Video

Updated: Jan 25, 2026

Preparation of Whole Bone Marrow for Mass Cytometry Analysis of Neutrophil-lineage Cells
08:09

Preparation of Whole Bone Marrow for Mass Cytometry Analysis of Neutrophil-lineage Cells

Published on: June 19, 2019

9.9K

Analysis of Mass Cytometry Data.

Christina B Pedersen1, Lars R Olsen2

  • 1Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.

Methods in Molecular Biology (Clifton, N.J.)
|May 12, 2019
PubMed
Summary
This summary is machine-generated.

Mass cytometry (CyTOF) generates high-dimensional single-cell protein data. This study introduces freely available analysis tools to overcome manual gating limitations for CyTOF data, improving clustering and differential abundance analysis.

Keywords:
ClusteringDifferential expressionDimensionality reductionMass cytometry

More Related Videos

Sample Preparation for Mass Cytometry Analysis
06:28

Sample Preparation for Mass Cytometry Analysis

Published on: April 29, 2017

16.6K
Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma
08:25

Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma

Published on: April 25, 2025

765

Related Experiment Videos

Last Updated: Jan 25, 2026

Preparation of Whole Bone Marrow for Mass Cytometry Analysis of Neutrophil-lineage Cells
08:09

Preparation of Whole Bone Marrow for Mass Cytometry Analysis of Neutrophil-lineage Cells

Published on: June 19, 2019

9.9K
Sample Preparation for Mass Cytometry Analysis
06:28

Sample Preparation for Mass Cytometry Analysis

Published on: April 29, 2017

16.6K
Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma
08:25

Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma

Published on: April 25, 2025

765

Area of Science:

  • Immunology
  • Computational Biology
  • Biotechnology

Background:

  • Cytometry by time-of-flight (CyTOF) enables high-dimensional single-cell protein analysis, surpassing traditional flow cytometry.
  • Manual gating, a conventional analysis method, becomes challenging and suboptimal with the increased data complexity from CyTOF.
  • The need for advanced computational tools is critical for effective CyTOF data interpretation.

Purpose of the Study:

  • To introduce and evaluate popular computational tools for analyzing CyTOF data.
  • To demonstrate a practical workflow for CyTOF data analysis using these tools.
  • To provide accessible solutions for researchers working with high-dimensional single-cell data.

Main Methods:

  • Review and selection of widely used CyTOF analysis software.
  • Application of selected tools to a representative CyTOF dataset.
  • Demonstration of key analytical tasks including clustering, differential abundance testing, and visualization.

Main Results:

  • Several freely available tools significantly enhance the analysis of CyTOF data.
  • The proposed workflow effectively addresses the challenges posed by high dimensionality.
  • These tools facilitate more robust and reproducible CyTOF data interpretation.

Conclusions:

  • Computational tools are essential for overcoming the limitations of manual gating in CyTOF analysis.
  • Freely available software provides powerful and accessible solutions for researchers.
  • Adoption of these tools can advance single-cell proteomic research.