Partho Sarathi Sen
Befattning: Affilierad forskare Organisation: Institutionen för medicinska vetenskaperE-post: partho.sarathi-sen@oru.se
Telefon: Telefonnummer saknas
Rum: -
Om Partho Sarathi Sen
Sen is an expert in bioinformatics and computational systems biology. He obtained PhD in Biological Sciences from University of Montpellier2, France. He develops and applies best practices in computational biology by deploying mathematical modeling and machine learning techniques on x-omics (transcriptomics, metabolomics, metagenomics, etc.) datasets to study autoimmune and metabolic disease / disorders such as T1D, Celiac disease, Obesity and NAFLD in humans. He pursued his postdoctorate from Prof. Nielsen's lab at Chalmers University of Technology, Gothenburg, Sweden. There, he was involved in several international and EU projects under the topics metabolomics / lipidomics and human metabolism.
Currently, he is also working as a senior postdoctoral researcher in the Systems Medicine group at Turku Bioscience, University of Turku, Finland, headed by Prof. Matej Oresic. He is involved in various cutting-edge projects that includes, modeling of immune cells and human gut microbiota in T1D and in NAFLD.
Forskargrupper
Publikationer
Artiklar i tidskrifter
- Lamichhane, S. , Sen, P. , Dickens, A. M. , Alves, M. A. , Härkönen, T. , Honkanen, J. , Vatanen, T. , Xavier, R. J. & et al. (2022). Dysregulation of secondary bile acid metabolism precedes islet autoimmunity and type 1 diabetes. Cell Reports Medicine, 3 (10).
- Sen, P. , Qadri, S. , Luukkonen, P. K. , Ragnarsdottir, O. , McGlinchey, A. J. , Jäntti, S. , Juuti, A. , Arola, J. & et al. (2022). Exposure to environmental contaminants is associated with altered hepatic lipid metabolism in non-alcoholic fatty liver disease. Journal of Hepatology, 76 (2), 283-293.
- Ribeiro, H. C. , Sen, P. , Dickens, A. , Santa Cruz, E. C. , Oresic, M. & Sussulini, A. (2022). Metabolomic and proteomic profiling in bipolar disorder patients revealed potential molecular signatures related to hemostasis. Metabolomics, 18 (8).
- Sen, P. , Govaere, O. , Sinioja, T. , McGlinchey, A. J. , Geng, D. , Ratziu, V. , Bugianesi, E. , Schattenberg, J. M. & et al. (2022). Quantitative modeling of human liver reveals dysregulation of glycosphingolipid pathways in nonalcoholic fatty liver disease. iScience, 25 (9).
- Lamichhane, S. , Sen, P. , Alves, M. A. , Ribeiro, H. C. , Raunioniemi, P. , Hyötyläinen, T. & Oresic, M. (2021). Linking Gut Microbiome and Lipid Metabolism: Moving beyond Associations. Metabolites, 11 (1).
- Sen, P. , Andrabi, S. B. A. , Buchacher, T. , Khan, M. M. , Kalim, U. U. , Lindeman, T. M. , Alves, M. A. , Hinkkanen, V. & et al. (2021). Quantitative genome-scale metabolic modeling of human CD4+ T cell differentiation reveals subset-specific regulation of glycosphingolipid pathways. Cell reports, 37 (6).
- Sen, P. , Lamichhane, S. , Dickens, A. & Oresic, M. (2019). The Role of Omic Technologies in the Study of the Human Gut Microbiome. Reference Module in Food Science.
Artiklar, forskningsöversikter
- Mathema, V. B. , Sen, P. , Lamichhane, S. , Oresic, M. & Khoomrung, S. (2023). Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine. Computational and Structural Biotechnology Journal, 21, 1372-1382.
- Sen, P. & Oresic, M. (2023). Integrating Omics Data in Genome-Scale Metabolic Modeling: A Methodological Perspective for Precision Medicine. Metabolites, 13 (7).
- Sen, P. , Lamichhane, S. , Mathema, V. B. , McGlinchey, A. J. , Dickens, A. M. , Khoomrung, S. & Oresic, M. (2021). Deep learning meets metabolomics: a methodological perspective. Briefings in Bioinformatics, 22 (2), 1531-1542.
- Alves, M. A. , Lamichhane, S. , Dickens, A. , McGlinchey, A. J. , Ribeiro, H. C. , Sen, P. , Wei, F. , Hyötyläinen, T. & et al. (2021). Systems biology approaches to study lipidomes in health and disease. Biochimica et Biophysica Acta - Molecular and Cell Biology of Lipids, 1866 (2).
- Sen, P. & Oresic, M. (2019). Metabolic Modeling of Human Gut Microbiota on a Genome Scale: An Overview. Metabolites, 9 (2).
Konferensbidrag
- Sen, P. , Govaere, O. , Sinioja, T. , McGlinchey, A. J. , Geng, D. , Ratziu, V. , Bugianesi, E. , Schattenberg, J. & et al. (2021). Genome-scale metabolic modeling of human hepatocytes reveals dysregulation of glycosphingolipid pathways in progressive non-alcoholic fatty liver disease. I: Journal of Hepatology. Konferensbidrag vid The International Liver Congress, (Digital congress), June 23–26, 2021. (ss. S256-S256). Elsevier.