Parsing Patterns: Emerging Roles of Tissue Self-Organization in Health and Disease

    June 2024 in “ Cell
    Raúl Ramos, Benjamin Swedlund, Anand K. Ganesan, Leonardo Morsut, Philip K. Maini, Edwin S. Monuki, Arthur D. Lander, Cheng‐Ming Chuong, Maksim V. Plikus
    TLDR Understanding tissue self-organization can improve treatments for diseases and advance regenerative medicine.
    The document explores the concept of tissue self-organization, emphasizing its crucial role in both health and disease. It highlights how self-organized patterns, such as those seen in hair growth and regeneration, are driven by signaling pathways like WNT and BMP, and how disruptions can lead to conditions like alopecia, psoriasis, and cancers. The review suggests that understanding these processes could inform therapeutic strategies, such as using JAK inhibitors for immune-related hair loss, and enhance synthetic biology and tissue engineering applications. The potential of organoid technologies and synthetic biology to replicate complex tissue patterns for drug screening and regenerative medicine is also discussed, underscoring the need for interdisciplinary collaboration to advance these fields.
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