Philadelphia University + Thomas Jefferson University

Vadigepalli, Rajanikanth

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Rajanikanth Vadigepalli, PhD

Contact Dr. Vadigepalli

1020 Locust Street
314 Alumni Hall
Philadelphia, PA 19107

(215) 955-0576
(215) 503-2636 fax

Medical School

PhD, University of Delaware, Chemical Engineering - 2001
BTech, Indian Institute of Technology Madras, Chemical Engineering - 1996

University Appointment

Associate Professor, Department of Pathology, Anatomy & Cell Biology

Research and Clinical Interests

Work in Dr. Vadigepalli's lab is directed at understanding the regulatory network dynamics driving the cellular adaptive processes in mammalian pathophysiology. Though cross-disciplinary collaborative projects, we study signaling and gene regulatory networks in : central cardiorespiratory control circuits adversely adapted in hypertension, alcohol toxicity on liver repair and regeneration, and abnormal stem cell differentiation in the context of fetal alcohol spectrum disorders. We use computational modeling, systems engineering and bioinformatics approaches to complement high-throughout experimentation. Trainees in the lab have the opportunity to gain experience in the computational modeling and analysis including transcriptional profiling, genome-wide localization, and next generation sequencing approaches; and experimental methods for high-throughout validation of gene regulatory mechanisms.

Click here for Vadigepalli Laboratory


Most Recent Peer-Reviewed Publications

  1. Introduction to the Virtual Issue Alcohol and Epigenetic Regulation: Do the Products of Alcohol Metabolism Drive Epigenetic Control of Gene Expression in Alcohol-Related Disorders?
  2. Credibility, replicability, and reproducibility in simulation for biomedicine and clinical applications in neuroscience
  3. SPSNet: Subpopulation-sensitive network-based analysis of heterogeneous gene expression data
  4. Novel influences of IL-10 on CNS inflammation revealed by integrated analyses of cytokine networks and microglial morphology
  5. A data-driven modeling approach to identify disease-specific multi-organ networks driving physiological dysregulation
  6. Pattern analysis uncovers a chronic ethanol-induced disruption of the switchlike dynamics of C/EBP-β and C/EBP-α genome-wide binding during liver regeneration
  7. Single-cell transcriptional analysis reveals novel neuronal phenotypes and interaction networks involved in the central circadian clock
  8. Systemic leukotriene B4receptor antagonism lowers arterial blood pressure and improves autonomic function in the spontaneously hypertensive rat
  9. Computational Modeling of Spatiotemporal Ca2+Signal Propagation Along Hepatocyte Cords
  10. Integrated live imaging and molecular profiling of embryoid bodies reveals a synchronized progression of early differentiation
  11. A novel comparative pattern analysis approach identifies chronic alcohol mediated dysregulation of transcriptomic dynamics during liver regeneration
  12. A novel comparative pattern count analysis reveals a chronic ethanol-induced dynamic shift in immediate early NF-κB genome-wide promoter binding during liver regeneration
  13. Modeling cytokine regulatory network dynamics driving neuroinflammation in central nervous system disorders
  14. Erratum: Molecular variability elicits a tunable switch with discrete neuromodulatory response phenotypes (J Comput Neurosci, DOI 10.1007/s10827-015-0584-2)
  15. Molecular variability elicits a tunable switch with discrete neuromodulatory response phenotypes
  16. Inhibition of miR-21 rescues liver regeneration after partial hepatectomy in ethanol-fed rats
  17. HuR contributes to TRAIL resistance by restricting death receptor 4 expression in pancreatic cancer cells
  18. Systems analysis of non-parenchymal cell modulation of liver repair across multiple regeneration modes
  19. In vivo zonal variation and liver cell-type specific NF-κB localization after chronic adaptation to ethanol and following partial hepatectomy
  20. MicroRNA network changes in the brain stem underlie the development of hypertension