Jan B. Hoek, PhD
Professor
Contact
1020 Locust Street
Jefferson Alumni Hall, Suite 527
Philadelphia, PA 19107
215-503-5016
215-923-2218 fax
Jan B. Hoek, PhD
Professor
Research & Clinical Interests
Systems biology of intracellular signal transduction networks; deregulation of cytokine and growth factor signaling in the liver associated with chronic alcohol consumption; early signaling responses during liver regeneration; bioenergetics and mitochondrial metabolism and its role in intracellular signaling and apoptosis.
Research in my laboratory is focused on the analysis of integrated signaling responses in liver and other tissues and on the adaptive or maladaptive modification of these responses by acute and chronic ethanol exposure. The following project are currently ongoing:
Analysis of growth factor signaling networks and related gene expression profiles in liver, using a combination of computational modeling and experimental studies;
Signaling events associated with the onset and progression of liver regeneration, with emphasis on the control of energy metabolism, purinergic signaling and AMP-activated protein kinase;
Mechanisms of ethanol-associated disturbance of cellular Ca2+ homeostasis and Ca2+ signaling and its role in adaptation and stress-responses in the liver;
Mechanisms of ethanol-induced susceptibility to apoptotic signals in the liver.
Education
PhD, University of Amsterdam (1972)
Most Recent Peer-Reviewed Publications
- Integrated transcriptomics and histopathology approach identifies a subset of rejected donor livers with potential suitability for transplantation
- Standardized Pre-clinical Surgical Animal Model Protocol to Investigate the Cellular and Molecular Mechanisms of Ischemic Flap Healing
- Longitudinal ultrasound imaging and network modeling in rats reveal sex-dependent suppression of liver regeneration after resection in alcoholic liver disease
- Genome-Scale Metabolic Modeling Reveals Sequential Dysregulation of Glutathione Metabolism in Livers from Patients with Alcoholic Hepatitis
- Patient-Specific Genome-Scale Metabolic Models for Individualized Predictions of Liver Disease