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

Lymphoid Cells and Tissues

Lymphoid Cells and Tissues

Lymphoid cells and tissues are integral to the immune system, which is crucial in maintaining our body's defense against harmful pathogens. They form the building blocks of lymphoid organs, which include the spleen, thymus, and lymph nodes.
Lymphoid cells consist of various types of immune system cells. These include B and T lymphocytes, which are responsible for producing antibodies and killing infected cells, respectively. Dendritic cells act as messengers between the innate and adaptive...

You might also read

Related Articles

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

Sort by

Same author

Atezolizumab for relapsed/refractory extranodal NK/T-cell lymphoma: the phase II NCCH1903/ATTACK trial.

Blood advances·2026

Same author

Drivers of temporal improvement in CAR T-cell therapy for large B-cell lymphoma: a Japanese nationwide registry analysis.

Blood advances·2026

Same author

Decreased renal function predicts severe cytokine release syndrome after CAR-T-cell therapy for large B-cell lymphoma.

British journal of haematology·2026

Same author

Donor selection for patients with HLA-homozygous haplotypes in allogeneic hematopoietic stem cell transplantation.

Annals of hematology·2026

Same author

Impact of antiviral therapies on survival in patients with HHV-6B encephalitis after cord blood transplantation: a real-world study.

Bone marrow transplantation·2026

Same author

Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies.

NPJ precision oncology·2026

Same journal

[Rinsho ketsueki] The Japanese journal of clinical hematology·2026

Same journal

[Rinsho ketsueki] The Japanese journal of clinical hematology·2026

Same journal

[Rinsho ketsueki] The Japanese journal of clinical hematology·2026

Same journal

[Recent advances in pathogenesis, diagnosis, and therapeutic strategies for POEMS syndrome].

[Rinsho ketsueki] The Japanese journal of clinical hematology·2026

Same journal

[Recent advances in management of systemic AL amyloidosis].

[Rinsho ketsueki] The Japanese journal of clinical hematology·2026

Same journal

[Treatment strategies for relapsed or refractory multiple myeloma: proposals for optimal treatment sequencing].

[Rinsho ketsueki] The Japanese journal of clinical hematology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 21, 2025

Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation

Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation

Published on: November 26, 2018

[Genetic studies on lymphoma].

Kentaro Yamaguchi^1,2, Keisuke Kataoka^1,2

¹Division of Hematology, Department of Medicine, Keio University School of Medicine.

[Rinsho Ketsueki] the Japanese Journal of Clinical Hematology

|September 9, 2021

Summary

This summary is machine-generated.

Next-generation sequencing reveals diverse genetic alterations in lymphomas, improving classification and enabling precision medicine. This advances lymphoma diagnosis, prognosis, and targeted therapeutic development.

Keywords:

Genetic alteration Lymphoma Next-generation sequencing

More Related Videos

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

Published on: December 28, 2015

From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia

From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia

Published on: October 19, 2014

Related Experiment Videos

Last Updated: Oct 21, 2025

Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation

Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation

Published on: November 26, 2018

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

Published on: December 28, 2015

From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia

From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia

Published on: October 19, 2014

Area of Science:

Hematology
Oncology
Genetics

Background:

Lymphomas are heterogeneous cancers of mature B, T, and NK cells.
Traditional classification relied on morphology and immunology.
Genetic heterogeneity significantly impacts clinical presentation and pathology.

Purpose of the Study:

To review next-generation sequencing (NGS) methods for lymphoma genetic analysis.
To summarize key genetic alterations across lymphoma subtypes.
To discuss the implications for diagnosis, prognosis, and targeted therapies.

Main Methods:

Review of recent major studies utilizing next-generation sequencing.
Analysis of genetic alterations in various lymphoma subtypes.
Discussion of NGS methodologies in lymphoma research.

Main Results:

NGS has identified numerous genetic alterations in lymphomas.
These alterations are crucial for the revised 2017 WHO classification.
Genetic findings offer new diagnostic and prognostic markers.

Conclusions:

Genetic alterations are fundamental to understanding lymphoma heterogeneity.
NGS technology drives advancements in lymphoma classification and precision medicine.
Targeted therapies based on genetic profiles hold promise for improved patient outcomes.