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Topic: regeneration

Seminar
2 seminars
Conference
1 conference

In Cell Biology and Developmental Biology

Examine the principles connecting growth, form and regeneration across organisms. The programme integrates genetics, experiments, theory and computation to investigate gene-regulatory networks, tissue morphogenesis, cell-fate decisions and developmental pathways in disease. Stem-cell models, imaging, omics and biophysical models support discussion of how developmental mechanisms can inform tissue repair and biomedical applications. Talks, posters and discussion connect shared mechanisms across experimental systems. 17–22 January: check-in begins Sunday at 14:00, with scientific introductions

Seminar · Neuroscience

Pro-regenerative functions of microglia in demyelinating diseases

Mikael Simons · Institute of Neuronal Cell Biology, German Center for Neurodegenerative Diseases, Technical University Munich, Germany

Tue, Jun 14, 2022 · 12:15 UTC

Our goal is to understand why myelin repair fails in multiple sclerosis and to develop regenerative medicines for the nervous system. A central obstacle for progress in this area has been the complex biology underlying the response to CNS injury. Acute CNS damage is followed by a multicellular response that encompasses different cell types and spans different scales. Currently, we do not understand which factors determines lesion recovery. Failure of inflammation to resolve is a key underlying reason of poor regeneration, and one focus is therefore on the biology of microglia during de- and re

A key question for basic biology and regenerative medicine concerns the way in which evolution exploits physics toward adaptive form and function. While genomes specify the molecular hardware of cells, what algorithms enable cellular collectives to reliably build specific, complex, target morphologies? Our lab studies the way in which all cells, not just neurons, communicate as electrical networks that enable scaling of single-cell properties into collective intelligences that solve problems in anatomical feature space. By learning to read, interpret, and write bioelectrical information in v