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Related Concept Videos

Antigen Presenting Cells01:22

Antigen Presenting Cells

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The immune system is a complex network of cells and molecules that protects the body from foreign invaders. T cells, a type of white blood cell, play a crucial role in this process. They recognize and attack foreign substances, such as pathogens, that enter the body.
T cells require the help of antigen-presenting cells (APCs), which process foreign antigens into smaller fragments that can be recognized by T cells. These APCs are highly specialized cells that efficiently internalize antigens...
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Related Experiment Video

Updated: May 30, 2025

Whole-animal Imaging and Flow Cytometric Techniques for Analysis of Antigen-specific CD8+ T Cell Responses after Nanoparticle Vaccination
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A physics informed neural network approach to quantify antigen presentation activities at single cell level using

Chi Zhang1, Jia Wang2, Pengtao Dang3

  • 1Indiana University School of Medicine.

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|January 29, 2025
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Summary
This summary is machine-generated.

We developed PSAA, a novel systems biology tool, to quantify major histocompatibility complex (MHC) antigen presentation activity from omics data. This method enhances understanding of immune responses in diseases like cancer and infection.

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Area of Science:

  • Immunology
  • Systems Biology
  • Computational Biology

Background:

  • Major histocompatibility complex (MHC) class I and II antigen presentation are crucial for immune surveillance but challenging to quantify dynamically.
  • Disruptions in MHC pathways are implicated in cancer, infection, and autoimmunity, hindering therapeutic strategies.

Purpose of the Study:

  • To introduce PSAA (PINN-empowered Systems Biology Analysis of Antigen Presentation Activity), a computational framework for estimating sample-specific MHC antigen presentation activity.
  • To enable detailed, stepwise quantification of MHC pathway dynamics using diverse omics data.

Main Methods:

  • PSAA reconstructs MHC pathways and utilizes pathway flux estimation.
  • The framework analyzes bulk, single-cell, and spatially resolved transcriptomics or proteomics data.
  • It predicts gene-specific impacts and downstream immune interactions.

Main Results:

  • PSAA demonstrated robust prediction accuracy across various omics datasets and experimental validations.
  • The tool proved effective in diverse disease contexts, including cancer and infection.
  • It successfully linked antigen presentation activity to immune cell function and clinical outcomes.

Conclusions:

  • PSAA provides a comprehensive framework for analyzing MHC antigen presentation dynamics using omics data.
  • The tool aids in elucidating disease mechanisms and identifying potential therapeutic targets.
  • PSAA facilitates a deeper understanding of immune evasion and therapeutic responses.