Research Investigators John A. Arnott, PhD Phone: 570-504-9066 Email: firstname.lastname@example.org Interests: Mechanisms that control bone formation and skeletogenesis David B. Averill, PhD Phone: 570-207-3680 Email: email@example.com Interests: Cardiovascular disease Michael Bordonaro, PhD Phone: 570-504-9646 Email: firstname.lastname@example.org Interests: Colorectal cancer, gene therapy, adaptive mutation in cancer, Wnt signaling in colorectal cancer and human aging Carmine Cerra, MD Phone: 570-955-1316 Email: email@example.com Interests: Cancer biology Youngjin Cho, PhD Phone: 570-687-9717 Email: YCho@tcmc.edu Interests: Regulation of bone formation, regulation of adipogenesis and obesity (physiological role of Src family kinases and their adaptor proteins in bone formation, adipogenesis and lipogenesis), animal model of bone formation and adipogenesis Jess Cunnick, PhD Phone: 570-955-1311 Email: firstname.lastname@example.org Interests: Actin cytoskeleton and associated proteins Raj Kumar, PhD Phone: 570-504-9675 Email: email@example.com Interests: Structure: function studies of the steroid hormone receptors Darina Lazarova, PhD Phone: 570-504-9645 Email: firstname.lastname@example.org Interests: Molecular biology of cancer Jun Ling, PhD Phone: 570-504-9644 Email: email@example.com Interests: Regulation of cancer development by signal transduction and mRNA translation Pamela Lucchesi, PhD, FAHA Phone: 570-504-9658 Email: PLucchesi@tcmc.edu Interests: Cardiovascular disease William McLaughlin, PhD Phone: 570-504-9633 Email: firstname.lastname@example.org Interests: Structural bioinformatics, translational bioinformatics Brian J. Piper, PhD, MS Phone: 570-558-4264 Email: email@example.com Interests: Psychopharmacology, pharmacoepidemiology, behavioral neurology methods development and medical ethics Sonia Lobo Planey, PhD Phone: 570-504-9629 Email: firstname.lastname@example.org Interests: Dr. Planey's research interests are primarily in signal transduction and cancer biology. She has spent the last few years studying protein palmitoylation and developing a proteomic method to identify substrates of palmitoyl acyl transferases (PATs) — the enzymes that mediate palmitoylation. Despite their recent discovery (2002), many PATs have already been linked to human disease. One compelling example is the association of ZDHHC2 with cancer. ZDHHC2 encodes the PAT, DHHC2, and is deleted in many types of cancer. Its absence in cells is highly correlated with metastasis; therefore, investigating the function of this gene in established cancer cell lines will allow Dr. Planey to better understand its role in preventing metastasis. DHHC2 modifies specific cellular proteins with a small, regulatory lipid called palmitate. One substrate of this enzyme is CKAP4/p63 which is a cell-surface receptor for antiproliferative factor (APF) — a small molecule that is thought to cause a painful, chronic bladder disorder called interstitial cystitis. The signaling networks under the control of the ZDHHC2 gene are important to cancer and bladder disease and are the current focus of Dr. Planey's research. Gregory A. Shanower, PhD Phone: 570-504-9670 Email: email@example.com Interests: Epigenetic gene regulation in Drosophila melanogaster Ying-Ju Sung, PhD Phone: 570-687-9716 Email: firstname.lastname@example.org Interests: Identification of signals and genes expressed during the cascade of events resulting from nerve injury or inflammation to primary sensory neurons. John L. Szarek, PhD, CHSE Phone: 570-955-1322 Email: email@example.com Interests: Technology in medical education and students' emotions during learning Gabi N. Waite, PhD Phone: 570-955-1329 Email: GWaite@tcmc.edu Interests: Heart Rate Variability (HRV) is a cardiology assessment derived from inexpensive electrocardiograms (ECG). It indicates the physiological state of the autonomic nervous system, which monitors and regulates the health of most body organs. In retrospective studies, it has been shown that Convolutional Neural Networks can evaluate HRV to accurately diagnose a variety of human diseases and hence potentially lead to vastly improved and less costly healthcare. In prospective studies, HRV has been used for cardiovascular risk assessment and as health indicator for a variety of other diseases. However, HRV has not yet attained its clinical potential. Dr. Waite’s research employs a new Big Data platform to extract HRV from dis-structured archived ECGs and will apply Deep Learning based algorithms to determine a prognostic relationship between HRV and health. In the Human Performance Laboratory at Geisinger Commonwealth, studies are ongoing to determine clinically meaningful physiological HRV states and to better understand rhythmic HRV events. This knowledge is applied to clinical community studies, in order to develop HRV into a potent monitor of disease, of patient compliance to therapeutic instructions, and of lifestyle factors, all of which strongly influence HRV.