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Related Experiment Video

Updated: May 12, 2026

Predictive Immune Modeling of Solid Tumors

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

Systems level immune response analysis and personalized medicine.

Petter Brodin¹, Davide Valentini, Michael Uhlin

¹Center for Allogeneic Stem Cell Transplantation, CAST, Karolinska University Hospital, Huddinge, Sweden.

Expert Review of Clinical Immunology

|April 6, 2013

Summary

Current immune system analysis is limited. A systems immunology approach, integrating large-scale data, is proposed to improve personalized medicine and understand immune responses in patients.

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Last Updated: May 12, 2026

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Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry

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Published on: June 26, 2018

Area of Science:

Immunology
Systems Biology
Computational Biology

Background:

The immune system's complexity is increasingly understood through technological advances enabling large-scale measurements.
Current clinical practice relies on limited immunological parameters, insufficient for comprehensive immune function assessment.
Translating murine model findings to human therapies is challenging due to a lack of large-scale human immune monitoring.

Purpose of the Study:

To advocate for a systems immunology approach for a holistic understanding of the human immune system.
To highlight the limitations of current single-parameter immunological assessments in clinical practice.
To bridge the gap between preclinical immunology research and human therapeutic applications.

Main Methods:

Integrating large-scale measurements of immune cell interactions and communication pathways.
Applying a systems-level analysis to understand the entire immune system rather than individual components.
Utilizing data from preclinical research, drug development, and patient therapies.

Main Results:

Current methods provide an incomplete picture of individual immune function and disease states.
A systems approach offers a more comprehensive analysis of immune system complexity.
This approach can reveal clinically relevant patterns of immune reactivity.

Conclusions:

Systems immunology is crucial for advancing personalized medicine and improving treatment outcomes.
Implementing large-scale immune monitoring will enhance the understanding of immune-mediated diseases.
A shift towards integrated studies of the immune system is necessary for future therapeutic development.