Molecular Pathology & Genomics

We cordially invite you to attend the 2024 Brain Aging and Neurodegeneration Symposium co-hosted by the Department of Laboratory Medicine & Pathology’s Divisions of Molecular Pathology and Genomics (MPG) and Institute for Translational Neuroscience (ITN). This symposium will bring together a panel of expert speakers from National Institute on Aging, Grossman Center for Memory Research and Care, and University of Minnesota Medical School. This event is an opportunity for participants to learn from experts about the latest research in neurodegenerative diseases, particularly Alzheimer’s disease and related disorders.

11:00-11:30 Michael Koob (Dept. LMP, traumatic brain injury)

11:30012:00 Dongming Cai (Dept. Neurology, Director, Grossman Center for Memory Research, Alzheimer's disease)

12:00-12:30 Rocio Gomez (Dept. Neuroscience, Huntington's disease)

12:30-2:00 Poster Session in the Memorial Hall and Lunch in the atrium.

2:00-3:00 Keynote presentation Mark Cookson (NIA/NIH, Parkinson's disease)

3:00-4:00 Panel discussion and poster session awards

The Symposium can be viewed via U of M MediaSpace here.

May 4, 2023, Weisman Art Museum

11:00AM – 12:30PM: 

"Spatially distinct RHAMM-positive niches promote breast tumor invasion"

Dr. Andrew Nelson, University of Minnesota 

"Spatial profiling of melanoma in immunocompromised patients"

Dr. Alessio Giubellino, University of Minnesota 

"Using spatial proteomics to study immune topography"

Dr. Sean Tracy, University of Minnesota 

12:30PM – 2:00PM: 

Lunch Break and Poster Session 

2:00PM – 2:45PM: 

"The tumor-immune microenvironment in situ: a closer look"

Keynote Speaker: Dr. Svetomir Markovic, Mayo Clinic, Rochester, MN            
 

2:45PM – 3:15PM: 

Panel Discussion

3:15PM – 4:00PM: 

Social Hour/Networking

Poster Session Video Link

Poster Session Winners

• 1st: Jesenia Perez, Microbiology, Immunology and Cancer Biology (MICaB)             
  “Establishing proteome divergence between high-grade serous ovarian tumors and their patient-derived xenograft experimental models” (Thomas lab)

• 2nd: Kiel Tietz, Masonic Cancer Center, “Alternative polyadenylation as a therapeutic vulnerability in prostate cancer” (Scott Dehm lab)        

• 3rd: Samuel Pitzen, Genetics, Cell Biology and Development, “KLF5 drives basal cell identify to promote prostate cancer lineage plasticity” (Scott Dehm lab)            
   

Molecular Pathology and Genomics & Computation Pathology Symposium

May 5, 2021 - Virtual

The "omics" revolution has arrived!

Curious about the revolutionary role of mass spectrometry in personalized medicine? Join the Department of Laboratory Medicine & Pathology’s Divisions of Molecular Pathology and Genomics (MPG) and Computational Pathology (CP) to learn about how the integration of genomics, proteomics, and metabolomics is challenging traditional medical paradigms and creating novel opportunities for improved, personalized patient care.

Introduction

Dr. Bharat Thyagarajan, University of Minnesota

Big Data, Health and COVID-19

Dr. Michael Snyder, Stanford University

Computational methods for detection of DNA adducts using mass spectrometry

Dr. Scott Walmsley, University of Minnesota

Highlights of the HUPO Human Proteome Project with an example of proteo-genomics of cancers

Panel Discussion 1:00PM to 1:30PM

Moderated by Dr. Stefani Thomas, University of Minnesota

July 23, 2020

9:00–10:00 - Keynote Speaker 1: Colin Pritchard, MD, PhD 

10:00–10:30 - Local Talk 1: Andrew Nelson, MD, PhD

The Ovarian Cancer Precision Medicine Initiative

10:30–11:30 - Keynote Speaker 2: Jochen Lennerz, MD, PhD

Medical Director, Center for Integrated Diagnostics, Massachusetts General Hospital
Associate Professor of Pathology, Harvard Medical School
Assistant Pathologist, Pathology, Massachusetts General Hospital

The Use of Artificial Intelligence in the Clinical Report of Genetic Variants at Massachusetts General Hospital 

11:30–12:00 - Local Talk 2: Kelsey McIntyre, PhD

Clinical Validation of Whole Genome Sequencing for Detection of Structural Variants

Accreditation Statement and Credit Designation Statements