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Related Concept Videos

Flow Cytometry01:23

Flow Cytometry

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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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Transcription Factor Evaluation by Flow Cytometry.

Daniela Fenoglio1,2, Tiziana Altosole3

  • 1Department of Internal Medicine- Centre of Excellence for Biomedical Research, University of Genoa- IRCCS Ospedale Policlinico San Martino, Genoa, Italy. daniela.fenoglio@unige.it.

Methods in Molecular Biology (Clifton, N.J.)
|April 30, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a streamlined one-step protocol for analyzing transcription factors in T helper (Th) cells. This method aids in understanding T cell subsets and their functions in both research and clinical settings.

Keywords:
EOMESFOXP3GATA-3Intranuclear stainingLymphoid tissueROR-γtT-betTranscription factorTumor

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Area of Science:

  • Immunology
  • Cell Biology
  • Molecular Biology

Background:

  • T helper (Th) cell subset development relies on specific transcription factors activated by cytokine environments.
  • These transcription factors dictate Th cell function and effector cytokine production.
  • Flow cytometry is crucial for analyzing transcription factors in research and clinical trials, including regulatory T cell evaluation.

Purpose of the Study:

  • To present novel one-step protocols for evaluating transcription factor expression.
  • To focus on critical aspects of this cytometric approach for CD4+ lymphocytes.
  • To provide a method applicable to both mouse and human samples.

Main Methods:

  • Development of simplified one-step protocols for transcription factor analysis.
  • Application of flow cytometry for evaluating intracellular and nuclear transcription factors.
  • Method validation for both mouse and human CD4+ lymphocytes.

Main Results:

  • Successful implementation of one-step protocols for transcription factor detection.
  • Demonstration of the method's utility in analyzing T helper cell subsets.
  • Identification of critical parameters for accurate cytometric analysis.

Conclusions:

  • The proposed one-step protocols offer an efficient method for transcription factor analysis in CD4+ lymphocytes.
  • This approach facilitates the study of T cell differentiation and function.
  • The protocols are valuable for both basic research and immunologic monitoring in clinical trials.