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

You might also read

Related Articles

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

Sort by
Same author

Messing with Signal 1: How Perturbed MHC Class I Antigen Presentation Contributes to Cancer.

Cells·2026
Same author

Phase Ib multicenter study of anti-TIM-3 (S095018/Sym023) in combination with anti-PD-1 (Sym021) in patients with advanced/metastatic recurrent biliary tract cancer.

Journal for immunotherapy of cancer·2026
Same author

Antibodies to watch in 2026.

mAbs·2026
Same author

Inhibition of A2AR alleviates adenosine-mediated suppression of plasma cell differentiation.

Frontiers in immunology·2025
Same author

Regulatory T Cells Poise the Myeloid Landscape after Chemotherapy in Lung Tumors.

Cancer immunology research·2025
Same author

The Sunrise of Tertiary Lymphoid Structures in Cancer.

Immunological reviews·2025

Related Experiment Video

Updated: Jun 7, 2025

Generation of Large Numbers of Myeloid Progenitors and Dendritic Cell Precursors from Murine Bone Marrow Using a Novel Cell Sorting Strategy
09:05

Generation of Large Numbers of Myeloid Progenitors and Dendritic Cell Precursors from Murine Bone Marrow Using a Novel Cell Sorting Strategy

Published on: August 10, 2018

9.1K

Method Development for Sorting Immune Cell Populations Within Tertiary Lymphoid Structures.

Priyanka Devi-Marulkar1,2,3,4, Hélène Kaplon1,2,3,5, Marie-Caroline Dieu-Nosjean6,7,8

  • 1Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS 1138, Cordeliers Research Center, Laboratory "Cancer, Immune Control and Escape", Paris, France.

Methods in Molecular Biology (Clifton, N.J.)
|November 11, 2024
PubMed
Summary

Investigating the tumor microenvironment in non-small-cell lung cancer (NSCLC) reveals the prognostic value of immune cells. Novel flow cytometry methods help analyze regulatory T cells (Treg), B cells, and gamma-delta (γδ) T cells in NSCLC patients.

Keywords:
Flow cytometryGamma delta T cellLung cancerRegulatory T cellTertiary lymphoid structureTumor immunologyTumor microenvironmentTumor-infiltrating B cell

More Related Videos

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
08:58

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Published on: November 19, 2018

12.4K
Characterization of Thymic Settling Progenitors in the Mouse Embryo Using In Vivo and In Vitro Assays
08:56

Characterization of Thymic Settling Progenitors in the Mouse Embryo Using In Vivo and In Vitro Assays

Published on: June 9, 2015

8.3K

Related Experiment Videos

Last Updated: Jun 7, 2025

Generation of Large Numbers of Myeloid Progenitors and Dendritic Cell Precursors from Murine Bone Marrow Using a Novel Cell Sorting Strategy
09:05

Generation of Large Numbers of Myeloid Progenitors and Dendritic Cell Precursors from Murine Bone Marrow Using a Novel Cell Sorting Strategy

Published on: August 10, 2018

9.1K
Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
08:58

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Published on: November 19, 2018

12.4K
Characterization of Thymic Settling Progenitors in the Mouse Embryo Using In Vivo and In Vitro Assays
08:56

Characterization of Thymic Settling Progenitors in the Mouse Embryo Using In Vivo and In Vitro Assays

Published on: June 9, 2015

8.3K

Area of Science:

  • Immunology
  • Oncology
  • Cancer Research

Background:

  • The tumor microenvironment (TME) is crucial for tumor progression and patient outcomes.
  • Specific immune cell populations, including T-helper type 1 (Th1), memory CD8+ T cells, and tertiary lymphoid structures, are linked to improved survival in various cancers.
  • The prognostic significance of regulatory T cells (Treg), B cells, and gamma-delta (γδ) T cells in solid tumors is not fully understood.

Purpose of the Study:

  • To develop and apply novel flow cytometry-based strategies for isolating specific immune cell populations.
  • To evaluate the prognostic role of regulatory T cells (Treg), B cells, and gamma-delta (γδ) T cells in non-small-cell lung cancer (NSCLC).

Main Methods:

  • Utilized advanced flow cytometry techniques for cell sorting.
  • Focused on isolating regulatory T cells (Treg), B cells, and gamma-delta (γδ) T cells.
  • Applied these methods to samples from non-small-cell lung cancer (NSCLC) patients.

Main Results:

  • Successfully developed and implemented novel flow cytometry strategies for immune cell isolation.
  • Generated data to facilitate the evaluation of Treg, B cell, and γδ T cell roles in NSCLC.
  • Laid the groundwork for further analysis of their prognostic value.

Conclusions:

  • Novel flow cytometry methods enable precise isolation of immune cells within the NSCLC tumor microenvironment.
  • These techniques are essential for dissecting the complex roles of various immune populations, including Treg, B cells, and γδ T cells.
  • Further research using these methods will clarify the prognostic impact of these immune cells in NSCLC, potentially improving patient stratification and treatment strategies.