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Related Concept Videos

Cells of the Adaptive Immune Response01:23

Cells of the Adaptive Immune Response

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The T and B lymphocytes of the adaptive immune system develop from common lymphoid progenitor cells in the bone marrow. These progenitors give rise to precursors that eventually develop into both T and B lymphocytes. As these precursors mature, they gain the ability to detect and respond to foreign antigens in the body, a process known as immunocompetence. Additionally, these precursors acquire self-tolerance, a process that ensures they do not react to self-antigens. This intricate system...
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Introduction to Innate and Adaptive Immunity01:21

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The human immune system is a complex defense mechanism that protects the body from harmful pathogens and foreign substances. It comprises two crucial components: innate and adaptive immunity.
Innate immunity is the body's natural, nonspecific defense system that acts quickly to protect against pathogens. It incorporates physical barriers like skin and mucous membranes and cellular elements such as phagocytes and natural killer cells. This part of our immune system provides an immediate,...
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Special Features of Adaptive Immunity01:20

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The adaptive immune system, a crucial component of the overall immune response, offers a highly specialized defense against pathogens. It involves specific cell types and features, enabling it to combat infections effectively and efficiently.
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Antigens Involved in Adaptive Immunity01:26

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An antigen is any substance the immune system identifies as foreign and potentially harmful to the body, prompting an immune response. Antigens have two functional properties: immunogenicity and reactivity. Immunogenicity is the ability of an antigen to stimulate a specific immune response. At the same time, reactivity describes the antigen's ability to react with the cells and antibodies produced in response to it.
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Updated: Jan 22, 2026

Predictive Immune Modeling of Solid Tumors
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Uncovering the Adaptive Tumor Immunity Interactions from a Single-Cell Level.

Tiankun Liu1,2, Yuan Pang1,3, Chang Zhou1,3

  • 1Biomanufacturing Center, Dept. of Mechanical Engineering, Tsinghua University, Beijing, P. R. China.

Advanced Healthcare Materials
|January 21, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed a 3D printed, single-cell model to study tumor-immune cell interactions. This advanced model reveals how cell proximity affects immune responses, aiding immunotherapy research.

Keywords:
3D bioprintingadaptive immunecell interactionsmelanomasingle cell

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Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment
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Area of Science:

  • Immuno-oncology
  • Biotechnology
  • Cellular dynamics

Background:

  • Tumor adaptive immunity exhibits complex cellular, dynamic, and spatial heterogeneity, challenging conventional co-culture models.
  • Large-scale models obscure crucial cell diversity, hindering immunotherapy mechanism elucidation and rare cell subtype discovery.
  • Understanding single-cell interactions is vital for unraveling immune responses and therapeutic outcomes.

Purpose of the Study:

  • To develop and validate a 3D printed, single-cell resolution immuno-oncology model.
  • To investigate adaptive immune interactions between dendritic cells, T cells, and melanoma cells.
  • To analyze the impact of cell proximity on immune cell motility and function.

Main Methods:

  • 3D printing of a single-cell level immuno-oncology model.
  • Co-culture of dendritic cells, T cells, and melanoma cells within the model.
  • Tracking and analysis of cell motility, spatial distribution, and interaction dynamics.

Main Results:

  • The model successfully recapitulated key adaptive immunity characteristics: recognition, presentation, cytotoxicity, and immunosuppression.
  • A strong correlation was observed between cell interaction, motility, and spatial distribution.
  • Contact duration increased significantly (4-6 times) when cell distance exceeded 60 µm.
  • T cell motility and biofunctions showed consistency under varying dendritic cell types, T cell subtypes, and stimulatory factors.

Conclusions:

  • The single-cell model provides a powerful platform for studying immune-tumor cell interactions.
  • Controllable reproduction of cell contact events refines knowledge of immune synapses.
  • This model aids in validating immunotherapy mechanisms and understanding cell surface receptor roles.