Ratnadeep Mukherjee
Scientist
Responsibilities
I am a Systems Immunologist with trainings in both experimental and computational immunology. My research mostly revolves around the high-dimensional analysis of the human immune response to infections and vaccines. Our group at NIPH uses high dimensional analysis platforms like multiparameter flow cytometry, mass cytometry (CyTOF), and serum protein analysis of human patients to measure host immune response at the cellular, molecular, and biochemical levels. We then integrate this data into machine learning pipelines to derive predictive insights into disease-specific responses. Some of the specific question we are asking are: - What drives heterogeneity in immune response to vaccinations? - How do past infections impact an immune response to future ones? - What are the correlates of robust vaccine response in the elderly? - How does the immune system contribute to long-term symptoms of Post-Infectious Fatigue Syndrome?
Selected publications:
- Silke Sommen, Sunniva Segtnan, Joel Selvakumar et al. Long COVID: Deep single-cell immunophenotyping and machine learning reveal a general signature for fatigue., 25 June 2024, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-4490598/v1]
- Ratnadeep Mukherjee, Linn Eggesbø, Asia-Sophia Wolf et al. Mass cytometry reveals cellular correlates of immune response heterogeneity to SARS-CoV-2 vaccination in the elderly, 01 March 2024, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-3961536/v1]
- Dongya Jia, Emanuel Salazar-Cavazos, Timothy West, et al. Chaotic dynamics for homeostatic hematopoiesis. bioRxiv 2024.08.16.608266; doi: https://doi.org/10.1101/2024.08.16.608266
- Shradha Mawatwal, Amruta Mohapatra, et al. Prior exposure to malaria decreases SARS-CoV-2 mediated mortality in K18-hACE2 mice without influencing viral load in lungs. bioRxiv 2024.02.19.579434; doi: https://doi.org/10.1101/2024.02.19.579434
- Sri Krishna et al. ,Stem-like CD8 T cells mediate response of adoptive cell immunotherapy against human cancer. Science 370,1328-1334(2020). DOI:10.1126/science.abb9847
- Juan C. Ravell et al. Defective glycosylation and multisystem abnormalities characterize the primary immunodeficiency XMEN disease. J Clin Invest. 2020;130(1):507-522. https://doi.org/10.1172/JCI131116.
- Altan-Bonnet, G., Mukherjee, R. Cytokine-mediated communication: a quantitative appraisal of immune complexity. Nat Rev Immunol 19, 205–217 (2019). https://doi.org/10.1038/s41577-019-0131-x
- Mukherjee, R., Kanti Barman, P., Kumar Thatoi, P. et al. Non-Classical monocytes display inflammatory features: Validation in Sepsis and Systemic Lupus Erythematous. Sci Rep 5, 13886 (2015). https://doi.org/10.1038/srep13886
Please check my Google scholar profile for a list of publications.