Partho Sarathi Sen
Title: Affiliated Researcher School/office: School of Medical SciencesEmail: partho.sarathi-sen@oru.se
Phone: +46 19 303000
Room: -
About Partho Sarathi Sen
Research Interests: Systems biology-Bioinformatics-Metabolic Modelling applied to human & gut microbiome research. Particularly interested in Metabolomics, pathway analysis, Transcriptomics, Metagenomics, Biostatistics, and Clinical Trials. Extended interest in mathematical modeling and integration of X-OMIC datasets, computational method/algorithm development. Scientific skill sets Multivariate analysis, Biostatistics, Machine learning, Optimization (linear & non-linear), Genome-scale metabolic modeling (GSSM or GEMs), Kinetic modeling, Bio-databases design & management. Technical skills: JAVA (basic), Php, HTML, Python (some modules), R (expertise) & Matlab (expertise). DB: MySQL, Oracle. OS: UNIX, MAC & WINDOWS
Research teams
Publications
Articles in journals
- 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).
- 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. Journal of Hepatology, 75 (Suppl. 2), S256-S256.
- 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.
Articles, reviews/surveys
- 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).