Arizona Health Sciences

John M. Streicher, Ph.D.

Assistant Professor, Pharmacology, Faculty, UA Neuroscience Graduate interdisciplinary Program

Contact Information

Office: Room 563
Building: Life Sciences North
Phone: (520) 626-7495
Email: jstreicher@email.arizona.edu

Dr. Streicher completed his Ph.D. graduate work at the University of California – Los Angeles in 2009, with a focus on the signal transduction cascades underlying stress response in heart failure. He then joined the lab of Laura Bohn, Ph.D. at The Scripps Research Institute – Florida as a postdoctoral fellow, where he brought his work on signal transduction into the context of opioid receptor signaling and biased agonist drug discovery. He joined the faculty of the University of New England in 2012 as a Research Assistant Professor, promoted to Assistant Professor (tenure track) in 2013. In 2015 he joined the Department of Pharmacology here at the University of Arizona, also as an Assistant Professor (tenure track).

Medical School: 
BS: George Fox University, 1999;;MS: Oregon Health and Science University, 2002;;PhD: University of California – Los Angeles, 2009
Research Interests: 

Dr. Streicher is interested in understanding the molecular signal transduction cascades downstream of the opioid receptors. His research program focuses on finding new signaling regulators of the opioid receptors, determining their molecular mechanisms, and then determining how these molecular mechanisms result in changes to opioid-induced analgesia and side effects in different pain states. He further uses this information to create novel drug discovery strategies to create new opioid drugs without the side effect drawbacks of current drugs, like addiction. His research approaches encompass the creation of pain states such as post-surgical pain and the measurement of opioid analgesia in these pain states, combined with state-of-the-art approaches to modulate novel signaling regulators in mice including CRISPR/Cas9 in the brain and spinal cord. He also screens drugs in medium- to high-throughput formats in cell models to find and develop new analgesic drugs.

Publications

2017

2016

2015

2014

2013

2012

2011

2010

2008

2005

2004

2003

2002