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Treg Cells: Secrets of Immune Regulation – Focus on 2025 Nobel Prize

Source: Elabscience®Published: Jan 27,2026

Broadcast live on February 26, 2026 now available to watch on demand.

The immune system depends on precise balance, maintained by Foxp3-driven regulatory T (Treg) cells that enforce immune tolerance, restrain inflammation, and protect tissue integrity. Breakthroughs in Treg biology, widely regarded as Nobel Prize–caliber, have redefined modern immunology. This webinar explored the molecular logic of Treg cell fate, immunosuppressive function, and dysfunction across autoimmunity, cancer, chronic inflammation, and metabolic disease. Integrating immunology, cell biology, and systems-level molecular analysis, the discussion highlighted translational strategies aimed at restoring immune homeostasis.

In this webinar, Dr. Wang Ying Hafeez shared expert perspectives on:

● Foxp3-driven networks regulating Treg lineage stability and identity

● Intracellular signaling linking immune suppression and metabolism

● Dynamic control of Treg function in health and disease

● Treg instability in autoimmunity, cancer, and chronic inflammation

● Advanced tools for precise Treg detection and functional analysis

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Have questions about Treg biology, FOXP3 detection, or immune monitoring solutions?

Contact our scientific team for technical inquiries via email: events@elabscience.com

Speaker

Treg Cells: Secrets of Immune Regulation – Focus on 2025 Nobel Prize-1

Dr. Wang Ying

Product Manager

Elabscience Bionovation Inc.

Dr. Wang Ying is a biophysicist specializing in metabolic diseases and physical intervention therapies. Her doctoral research focused on multi-scale tissue, cellular, in vitro, and transcriptomic approaches to demonstrate that static magnetic fields enhance metabolic organ function by promoting actin polymerization, autophagy, and immune cell polarization. Her expertise in cellular and molecular biology and interdisciplinary analysis integrates a mechanistic perspective for understanding cell behavior and signaling networks.