Tissue Systems, Cell Signaling & Algorithms - The Raredon Lab at Yale School of Medicine

Why It Matters

Understanding and manipulating tissue‑level signaling offers a pathway to regenerative therapies that can reverse disease by restoring natural cellular communication, potentially transforming drug development and patient outcomes.

Key Takeaways

• Tissue stability relies on precise cell‑cell signaling networks.
• Lung contains 50‑70 distinct cell types communicating to maintain homeostasis.
• Spatial transcriptomics reveals ligand‑receptor interactions at single‑cell resolution.
• Computational algorithms translate spatial data into actionable communication maps.
• Targeting disrupted signaling could steer diseased tissue back to health.

Summary

The Raredon Lab at Yale School of Medicine focuses on deciphering how multicellular tissues maintain their identity through intricate cell‑to‑cell communication. By leveraging spatial transcriptomics and spatial multi‑omics, the team captures gene‑expression and protein data from individual cells within intact tissue sections, enabling a detailed view of ligand‑receptor interactions that underpin tissue homeostasis.

Their work highlights that a single organ, such as the lung, comprises 50 to 70 unique cell types or states, each exchanging signals that reinforce the organ’s functional stability. Advanced computational pipelines transform these high‑dimensional spatial datasets into interaction maps, revealing how coordinated signaling networks prevent cells from deviating into pathological states.

The researchers describe the “holy grail” of regenerative medicine: intervening in these communication pathways to coax diseased tissue back to a healthy state. Examples include identifying aberrant signaling clusters in disease samples and proposing therapeutic targets that could block or reverse the maladaptive shifts.

If successful, this approach could produce predictive, cell‑community‑aware therapeutics, accelerating the development of regenerative treatments that restore tissue function without extensive cell transplantation, fundamentally reshaping drug discovery and clinical intervention strategies.

Original Description

For more information on Sam Raredon or #YaleSchoolOfMedicine, visit: https://medicine.yale.edu/profile/michasam-raredon and https://raredonlab.com.

The Raredon Laboratory seeks to synthesize tissue biology and bioengineering through the common language of computation. They develop and maintain expertise in three intersecting areas: lung biology, system-level data analysis, and in vitro tissue engineering. Their methods are informed by mathematical insight from graph theory, information theory, and developmental biology. By fusing computational methods with tissue bioengineering, they are able to directly explore system-scale signaling processes that control cell and tissue state. The Raredon Lab welcomes people from all backgrounds. Their current team includes engineers, biologists, statisticians, physicians, and data scientists.

0:00 The Raredon Lab

0:49 What are they studying?

2:00 How are they studying it?

3:16 Where might this research lead?