Megha Padi, PhD

Assistant Professor, Cellular & Molecular Medicine

mpadi@arizona.edu

Links

Department Profile

NCBI Bibliography

Biography

Megha Padi earned her B.S. degrees in Physics and Biology from the Massachusetts Institute of Technology and her Ph.D. in theoretical physics at Harvard University. She then completed postdoctoral training with John Quackenbush at Dana-Farber Cancer Institute and Harvard Medical School in computational genomics and network biology. She joined the University of Arizona in 2018 as an Assistant Professor in Molecular and Cellular Biology, and the Director of the Bioinformatics Shared Resource at the University of Arizona Cancer Center.

Cancer Focus

My group develops computational approaches for integrating genomic “Big Data” in order to characterize how cellular networks are altered in cancer. Ultimately, we want to unite network science with genomics and build mechanistic models that can explain the heterogeneity in disease progression and drug response. Currently, our research focuses on (i) understanding the way Merkel cell polyomavirus rewires host regulatory networks to induce skin cancer, and (ii) creating context-specific models of drug response in cancer cell lines.

Research Program Role

Cancer Biology Program

Display Name

Megha Padi, PhD

Publications

PIM Kinase Inhibitors Block the Growth of Primary T-cell Acute Lymphoblastic Leukemia: Resistance Pathways Identified by Network Modeling Analysis.

Lim JT, Singh N, Leuvano LA, Calvert VS, Petricoin EF, Teachey DT, Lock RB, Padi M, Kraft AS, Padi SKR. 2020. PIM Kinase Inhibitors Block the Growth of Primary T-cell Acute Lymphoblastic Leukemia: Resistance Pathways Identified by Network Modeling Analysis. Mol Cancer Ther. 19:1809–1821. doi:10.1158/1535-7163.MCT-20-0160.

Effects of ursodeoxycholic acid on the gut microbiome and colorectal adenoma development.

Lance P, Pearson T, Caporaso JG, Yellowhair M, Bokulich NA, Padi M, Roe DJ, Wertheim BC, Linhart M, Martinez JA, et al. 2019 Jan. Effects of ursodeoxycholic acid on the gut microbiome and colorectal adenoma development. Cancer Med. doi:10.1002/cam4.1965.

Detecting phenotype-driven transitions in regulatory network structure.

Padi M, Quackenbush J. 2018. Detecting phenotype-driven transitions in regulatory network structure. NPJ Syst Biol Appl. 4:16. doi:10.1038/s41540-018-0052-5.

Merkel Cell Polyomavirus Small T Antigen Promotes Pro-Glycolytic Metabolic Perturbations Required for Transformation.

Berrios C, Padi M, Keibler MA, Park DE, Molla V, Cheng J, Lee SM, Stephanopoulos G, Quackenbush J, DeCaprio JA. 2016. Merkel Cell Polyomavirus Small T Antigen Promotes Pro-Glycolytic Metabolic Perturbations Required for Transformation. PLoS Pathog. 12:e1006020. doi:10.1371/journal.ppat.1006020.

Integrating transcriptional and protein interaction networks to prioritize condition-specific master regulators.

Padi M, Quackenbush J. 2015. Integrating transcriptional and protein interaction networks to prioritize condition-specific master regulators. BMC Syst Biol. 9:80. doi:10.1186/s12918-015-0228-1.

Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins.

Rozenblatt-Rosen O, Deo RC, Padi M, Adelmant G, Calderwood MA, Rolland T, Grace M, Dricot A, Askenazi M, Tavares M, et al. 2012. Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins. Nature. 487:491–5. doi:10.1038/nature11288.