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Updated: Jun 24, 2025
Evaluation of Tumor-infiltrating Leukocyte Subsets in a Subcutaneous Tumor Model
Published on: April 13, 2015
Decoding changes in tumor-infiltrating leukocytes through dynamic experimental models and single-cell technologies
Colin Yc Lee1, Menna R Clatworthy1, David R Withers2
1Cambridge Institute of Therapeutic Immunology and Infection Disease, University of Cambridge, Cambridge, UK.
Insights
Single-cell analysis advances immune cell characterization. Combining dynamic models with single-cell technologies deepens understanding of immune responses for improved patient therapies.
Area of Science:
- Immunology
- Molecular Biology
- Genomics
Background:
- Single-cell analysis platforms have revolutionized immune cell characterization.
- Understanding immune cell responses to stimuli and their functional differentiation remains a challenge.
- Inferring cellular fate from single-cell transcriptomics is common but relies on assumptions.
Purpose of the Study:
- To review experimental models for dynamic immune response analysis.
- To discuss combining these models with single-cell technologies.
- To enhance understanding of immune responses for therapeutic development.
Main Methods:
- Review of recent experimental models for dynamic immune response analysis.
- Integration of single-cell transcriptomic techniques.
- Analysis of temporal changes in immune cells and tissues.
Main Results:
- Dynamic experimental models provide insights into temporal immune cell changes.
- Combining approaches offers a deeper understanding of immune responses.
- This integrated approach supports the development of novel therapeutic strategies.
Conclusions:
- Advanced single-cell technologies and dynamic models are crucial for dissecting complex immune responses.
- Further integration promises significant advancements in immunology.
- This research paves the way for more effective immunotherapies.
Abstract:
The ability to characterize immune cells and explore the molecular interactions that govern their functions has never been greater, fueled in recent years by the revolutionary advance of single-cell analysis platforms. However, precisely how immune cells respond to different stimuli and where differentiation processes and effector functions operate remain incompletely understood. Inferring cellular fate within single-cell transcriptomic analyses is now omnipresent, despite the assumptions typically required in such analyses. Recently developed experimental models support dynamic analyses of the immune response, providing insights into the temporal changes that occur within cells and the tissues in which such transitions occur. Here we will review these approaches and discuss how these can be combined with single-cell technologies to develop a deeper understanding of the immune responses that should support the development of better therapeutic options for patients.
