Accelerating and expanding translational muscle research

The UW Center for Translational Muscle Research (CTMR) is funded by the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) to provide a unifying organization for muscle research in the heart of Seattle’s biomedical research community.  The goal of the Center is to facilitate new collaborations, recruit new investigators, bring clinicians and researchers together, and provide access to state-of-the-art approaches in multi-scale biomechanics, metabolism, and quantitative-computational analysis, to accelerate translational research efforts at the UW.

Online bi-weekly seminar series, Thursdays 8-9 am Pacific Time, covering current state-of-the-art research related to sarcomere structure and function.

To Subscribe to the Sarcomere Society email list and receive Zoom links to attend please click here.

Contact the Sarcomere Society Speaker Selection Committee – Drs Matt Childers, Sage Malingen, and Christian Mandrycky – to let us know about exciting new research you would like to present at an upcoming seminar (mcc7fb@uw.edu).

May 2, 2024

Speaker: Dr. Brett Colson, Associate Professor of Cellular & Molecular Medicine, University of Arizona

Talk Title: Cardiac myosin-binding protein C N-terminal interactions with myosin, actin, and drugs

May 30, 2024

Speaker: TBA

Talk Title: TBA

Jun 13, 2024

Speaker: TBA

Talk Title: TBA

The International Sarcomere Society Seminar Series is hosted by Drs. Mike Regnier, Mike Geeves, and Bill Lehman.

Latest News

Resource Cores

Mechanics & Devices Core

The Mechanics and Devices Core provides state-of-the-art measurements of muscle biomechanics at multiple levels of integration, and develops new assays for maturation and assessment of early stage muscle.

Metabolism Core

The Metabolism Core provides tools for in-depth measures and analysis of metabolomics, energetics, cell respiration and mitochondrial function.

Quantitative Analysis Core

The Quantitative Analysis Core provides computational and statistical tools for understanding disease, suggesting new
therapeutic targets, and understanding mechanisms.