Kidney Week

Basic/Clinical Science Session

Functional Proteomics: Unraveling Molecular Machines to Protein Networks in Metabolic Disease

November 08, 2019 | 10:30 AM - 12:30 PM

Location: 206, Walter E. Washington Convention Center

Session Description

Functional proteomics is a study of protein function that advances understanding of the mechanistic pathways of disease pathogenesis. A variety of mass spectrometry-based approaches allows characterization of cellular protein assemblies and subsequent assignment of individual proteins to specific molecular machines, pathways, and networks, according to an increasing level of organizational complexity. This session discusses the application of these techniques to understand metabolic basis of kidney diseases.

Learning Objective(s)

• Explain top-down proteomic technologies to characterize protein networks
• Discuss the role of post-translational protein acylation in metabolic diseases
• Describe the role of functional proteomics in renal pathophysiology
• Discuss the application of functional proteomics to biomarker discovery in diabetic kidney disease

Learning Pathway(s)

• Diabetes and Metabolism
• Glomerular Diseases

Moderators

• John M. Arthur, MD, PhD, FASN
• Anna Vachaparampil Mathew, MBBS

Presentations

• Harnessing the Power of Top-Down Proteomics to Determine Protein Function
  10:30 AM - 11:00 AM
  Ying Ge, PhD 
  
  

  Ying Ge, PhD

  Prof. Ying Ge University of Wisconsin (UW)-Madison Prof. Ying Ge is an Professor in the Department of Cell and Regenerative Biology and Department of Chemistry at the University of Wisconsin (UW)-Madison. She received a B.S. from Peking University (Beijing, China) and a Ph.D. from Cornell University under the joint supervision of Prof. Fred McLafferty and Prof. Tadhg Begley. After graduate school, Dr. Ge explored a career in pharmaceutical industry before she joined UW-Madison as the Director of Mass Spectrometry in the Human Proteomics Program. In 2012, Dr. Ge started her tenure-track Assistant Professor position, received tenure in 2015 and was promoted to full professor in 2019. Dr. Ge’s research is highly interdisciplinary that cuts across the traditional boundaries of chemistry, biology, and medicine. By creatively integrating her expertise in mass spectrometry/proteomics with cardiac biology/medicine, she aims to develop and employ novel top-down proteomics strategies in conjunction with functional studies to gain new insights into the molecular mechanisms of cardiac disease and regeneration. It is her belief that to make significant impact in molecular medicine, it is necessary to combine technological advances with functional studies and bridge the silos between basic and translational/clinical research. Dr. Ge is passionate about education and is currently mentoring students from chemistry, biology and medicine.

Harnessing the Power of Top-Down Proteomics to Determine Protein Function

November 08, 2019 | 10:30 AM - 11:00 AM

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• Metabolic Regulation by Protein Acylation
  11:00 AM - 11:30 AM
  Yingming Zhao, PhD
  

  Yingming Zhao, PhD

Metabolic Regulation by Protein Acylation

November 08, 2019 | 11:00 AM - 11:30 AM

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• Functional Proteomics and Applications to the Pathophysiology of Metabolic Kidney Disease
  11:30 AM - 12:00 PM
  Markus M. Rinschen, MD
  

  Markus M. Rinschen, MD

Functional Proteomics and Applications to the Pathophysiology of Metabolic Kidney Disease

November 08, 2019 | 11:30 AM - 12:00 PM

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• Inflammatory Proteome and Risk for Progression of Diabetic Kidney Disease
  12:00 PM - 12:30 PM
  Monika A. Niewczas, MD, PhD, MPH 
  
  

  Monika A. Niewczas, MD, PhD, MPH

  Monika Niewczas, MD PhD MPH is an Assistant Investigator in the Research Division, Joslin Diabetes Center and an Assistant Professor at Harvard Medical School. She completed her MD and PhD at Medical University of Warsaw, Poland and her MPH at Harvard T.H. Chan School of Public Health. Dr. Niewczas has authored more than 45 articles published in peer-reviewed journals. She pursues high-throughput approaches together with advanced computational clinical epidemiology tools to search for potential determinants of chronic diabetic complications.

Inflammatory Proteome and Risk for Progression of Diabetic Kidney Disease

November 08, 2019 | 12:00 PM - 12:30 PM

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