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Flow Cytometry

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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Related Experiment Video

Updated: Nov 4, 2025

Measurement of BK-polyomavirus Non-Coding Control Region Driven Transcriptional Activity Via Flow Cytometry

Measurement of BK-polyomavirus Non-Coding Control Region Driven Transcriptional Activity Via Flow Cytometry

Published on: July 13, 2019

Standardized flow-cytometry-based protocol to simultaneously measure transcription factor levels.

Bryce A Manso^1,2, Kay L Medina^1,2

¹Department of Immunology, Mayo Clinic, 200 1 Street SW, Rochester, MN 55905, USA.

|May 27, 2021

Summary

This summary is machine-generated.

This study introduces a flow cytometry protocol to measure multiple transcription factors (TFs) in single cells. This method enables direct comparison of TF expression across experiments, overcoming batch variability issues.

Keywords:

Cell Biology Cell isolation Flow Cytometry/Mass Cytometry Immunology Single Cell

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The Use of Flow Cytometry to Assess the State of Chromatin in T Cells

The Use of Flow Cytometry to Assess the State of Chromatin in T Cells

Published on: December 17, 2015

Area of Science:

Cellular and Molecular Biology
Immunology
Developmental Biology

Background:

Transcription factor (TF) expression dictates cell fate and function during development.
Flow cytometry is crucial for analyzing TF levels but suffers from batch-to-batch variability, hindering cross-experimental comparisons.
Existing methods struggle to directly compare absolute TF values across different experimental conditions or time points.

Purpose of the Study:

To develop and present a novel flow cytometry protocol for measuring the relative abundance of multiple TFs simultaneously in single cells.
To enable direct comparison of TF expression levels across experimental conditions and time points.
To provide a robust method adaptable for various cell types, starting with bone marrow cells.

Main Methods:

Development of a multi-parameter flow cytometry protocol.
Simultaneous detection of multiple transcription factors within individual cells.
Normalization strategy to account for inter-experimental variability.

Main Results:

The protocol allows for the measurement of relative TF abundance, facilitating direct comparisons across experiments.
Successfully overcomes the challenge of batch-to-batch variability inherent in flow cytometry.
Demonstrates applicability to bone marrow cells, with potential for adaptation to other cell types.

Conclusions:

This flow cytometry protocol offers a reliable method for comparative analysis of transcription factor expression.
Enables robust longitudinal studies and cross-condition comparisons in developmental and cellular biology research.
Provides a valuable tool for researchers studying cell fate and function driven by TF expression.