Sepideh Dolatshahi
- Email: sd8us@virginia.edu
- Phone: 434 243 7549
Primary Appointment
, Biomedical Engineering
Education
- PhD, Biomedical Engineering, Georgia Institute of Technology
Research Disciplines
Biotechnology, Cancer Biology, Computational Biology, Epigenetics, Immunology, Molecular Biology, Translational Science
Research Interests
Systems Immunology, Cancer Systems Biology, , Neonatal and Maternal Immunology
Research Description
The immune system is complex and ubiquitous. Numerous immune cell types either reside in a particular tissue or circulate throughout the body. Each cell type has its unique roles and approaches in sensing problems, communicating with other cells, and eliciting their immune functions. The Dolatshahi lab takes a systems approach to understand the interconnecting pathways that control immune responses spanning across multiple biological systems and scales.
This understanding will enable us to optimize immune responses to confront specific issues, ranging from infections to cancer. By building computational models and machine-learning strategies that integrate experimental data across various molecular and cellular scales, Dolatshahi laboratory seeks to: (1) ascertain how biophysical properties of the immune factors (defined as their subclass and post-translational modifications) determine their function, (2) uncover mechanisms responsible for dysregulation of these properties in disease states, and (3) use this knowledge to guide biomarkers for early disease diagnosis, patient stratification and optimized immunotherapies. Another key step in translational immunotherapies is the design of maximally informative animal studies for reliable prediction of the outcome in humans. To this end, Dolatshahi lab also (4) creates predictive computational transfer functions to relate mechanistic models of cellular processes in animals to those in humans. Such functions will enable inter-species translation of molecules to phenotypes.
Training
- Interdisciplinary Training Program in Immunology
Selected Publications
2023
Wessel, R. E., & Dolatshahi, S. (2023). Quantitative mechanistic model reveals key determinants of placental IgG transfer and informs prenatal immunization strategies.. PLoS computational biology, 19(11), e1011109. doi:10.1371/journal.pcbi.1011109
Erdogan, R. R., & Dolatshahi, S. (2023). Quantitative mechanistic model reveals key determinants of placental IgG transfer and informs prenatal immunization strategies.. bioRxiv. doi:10.1101/2023.04.18.537285
Nziza, N., Tran, T. M., DeRiso, E. A., Dolatshahi, S., Herman, J. D., de Lacerda, L., . . . Alter, G. (2023). Accumulation of Neutrophil Phagocytic Antibody Features Tracks With Naturally Acquired Immunity Against Malaria in Children. JOURNAL OF INFECTIOUS DISEASES, 228(6), 759-768. doi:10.1093/infdis/jiad115
2022
Dolatshahi, S., Butler, A. L., Pou, C., Henckel, E., Bernhardsson, A. K., Gustafsson, A., . . . Alter, G. (2022). Selective transfer of maternal antibodies in preterm and fullterm children. SCIENTIFIC REPORTS, 12(1). doi:10.1038/s41598-022-18973-4
Dolatshahi, S., Butler, A. L., Siedner, M. J., Ngonzi, J., Edlow, A. G., Adong, J., . . . Bebell, L. M. (2022). Altered Maternal Antibody Profiles in Women With Human Immunodeficiency Virus Drive Changes in Transplacental Antibody Transfer. CLINICAL INFECTIOUS DISEASES, 75(8), 1359-1369. doi:10.1093/cid/ciac156
2021
Grace, P. S., Dolatshahi, S., Lu, L. L., Cain, A., Palmieri, F., Petrone, L., . . . Alter, G. (2021). Antibody Subclass and Glycosylation Shift Following Effective TB Treatment. FRONTIERS IN IMMUNOLOGY, 12. doi:10.3389/fimmu.2021.679973
2020
Fischinger, S., Dolatshahi, S., Jennewein, M. F., Rerks-Ngarm, S., Pitisuttithum, P., Nitayaphan, S., . . . Alter, G. (2020). IgG3 collaborates with IgG1 and IgA to recruit effector function in RV144 vaccinees. JCI INSIGHT, 5(21). doi:10.1172/jci.insight.140925
2019
Jennewein, M. F., Goldfarb, I., Dolatshahi, S., Cosgrove, C., Noelette, F. J., Krykbaeva, M., . . . Alter, G. (2019). Fc Glycan-Mediated Regulation of Placental Antibody Transfer. CELL, 178(1), 202-+. doi:10.1016/j.cell.2019.05.044
Chang, M. M., Gaidukov, L., Jung, G., Tseng, W. A., Scarcelli, J. J., Cornell, R., . . . Weiss, R. (2019). Small-molecule control of antibody N-glycosylation in engineered mammalian cells. NATURE CHEMICAL BIOLOGY, 15(7), 730-+. doi:10.1038/s41589-019-0288-4
Sumit, M., Dolatshahi, S., Chu, A. -H. A., Cote, K., Scarcelli, J. J., Marshall, J. K., . . . Figueroa, B. J. (2019). Dissecting N-Glycosylation Dynamics in Chinese Hamster Ovary Cells Fed-batch Cultures using Time Course Omics Analyses. ISCIENCE, 12, 102-+. doi:10.1016/j.isci.2019.01.006
2016
Dolatshahi, S., Fonseca, L. L., & Voit, E. O. (2016). New insights into the complex regulation of the glycolytic pathway in Lactococcus lactis. I. Construction and diagnosis of a comprehensive dynamic model. MOLECULAR BIOSYSTEMS, 12(1), 23-36. doi:10.1039/c5mb00331h
Dolatshahi, S., Fonseca, L. L., & Voit, E. O. (2016). New insights into the complex regulation of the glycolytic pathway in Lactococcus lactis. II. Inference of the precisely timed control system regulating glycolysis. MOLECULAR BIOSYSTEMS, 12(1), 37-47. doi:10.1039/c5mb00726g
Dolatshahi, S., & Voit, E. O. (2016). Identification of Metabolic Pathway Systems. FRONTIERS IN GENETICS, 7. doi:10.3389/fgene.2016.00006
Dolatshahi, S., Pishgar, E., & Jamali, R. (2016). Does serum 25 hydroxy vitamin D level predict disease activity in ulcerative colitis patients?. ACTA CLINICA BELGICA, 71(1), 46-50. doi:10.1080/17843286.2015.1110895
2014
Dolatshahi, S., Vidakovic, B., & Voit, E. O. (2014). A constrained wavelet smoother for pathway identification tasks in systems biology. COMPUTERS & CHEMICAL ENGINEERING, 71, 728-733. doi:10.1016/j.compchemeng.2014.07.019
2011
Polak, A. C., Dolatshahi, S., & Goeckel, D. L. (2011). Identifying Wireless Users via Transmitter Imperfections. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 29(7), 1469-1479. doi:10.1109/JSAC.2011.110812