Rajanikanth Vadigepalli
Affiliations: | Thomas Jefferson University, Philadelphia, PA, United States | ||
| 2001 | University of Delaware, Newark, DE, United States |
Website:
https://www.jefferson.edu/university/jmc/departments/pathology/faculty/vadigepalli.htmlGoogle:
"Rajanikanth Vadigepalli"Bio:
Parents
Sign in to add mentor| Francis J. Doyle | grad student | 2001 | University of Delaware | |
| (Local intelligent control in biological systems and industrial processes.) | ||||
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Publications
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| Manchel A, Mahadevan R, Bataller R, et al. (2022) Genome-Scale Metabolic Modeling Reveals Sequential Dysregulation of Glutathione Metabolism in Livers from Patients with Alcoholic Hepatitis. Metabolites. 12 |
| Staehle MM, O'Sullivan S, Vadigepalli R, et al. (2020) Diurnal Patterns of Gene Expression in the Dorsal Vagal Complex and the Central Nucleus of the Amygdala - Non-rhythm-generating Brain Regions. Frontiers in Neuroscience. 14: 375 |
| O'Sullivan SJ, Reyes BAS, Vadigepalli R, et al. (2020) Combining Laser Capture Microdissection and Microfluidic qPCR to Analyze Transcriptional Profiles of Single Cells: A Systems Biology Approach to Opioid Dependence. Journal of Visualized Experiments : Jove |
| Campos G, Schmidt-Heck W, De Smedt J, et al. (2020) Inflammation-associated suppression of metabolic gene networks in acute and chronic liver disease. Archives of Toxicology |
| Cook D, Achanta S, Hoek JB, et al. (2018) Cellular network modeling and single cell gene expression analysis reveals novel hepatic stellate cell phenotypes controlling liver regeneration dynamics. Bmc Systems Biology. 12: 86 |
| Achanta S, Verma A, Srivastava A, et al. (2018) Single cell gene expression analysis identifies chronic alcoholmediated shift in hepatocyte molecular states after partial hepatectomy. Gene Expression |
| Belorkar A, Vadigepalli R, Wong L. (2018) SPSNet: subpopulation-sensitive network-based analysis of heterogeneous gene expression data. Bmc Systems Biology. 12: 28 |
| Anderson WD, DeCicco D, Schwaber JS, et al. (2017) A data-driven modeling approach to identify disease-specific multi-organ networks driving physiological dysregulation. Plos Computational Biology. 13: e1005627 |
| Park J, Zhu H, O'Sullivan S, et al. (2016) Single-Cell Transcriptional Analysis Reveals Novel Neuronal Phenotypes and Interaction Networks Involved in the Central Circadian Clock. Frontiers in Neuroscience. 10: 481 |
| Boxman J, Sagy N, Achanta S, et al. (2016) Integrated live imaging and molecular profiling of embryoid bodies reveals a synchronized progression of early differentiation. Scientific Reports. 6: 31623 |