معرفی
Hiren Jitendra Joshi is an Associate Professor in the Department of Cellular and Molecular Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences. He leads the Joshi group, which focuses on computational approaches to glycomics research, particularly using machine learning and data science to understand glycosylation processes in the endoplasmic reticulum and Golgi apparatus.
Dr. Joshi's primary research area is in silico glycomics, where his group investigates the regulation of hundreds of glycosylation-related genes. His work spans multiple domains of life, examining how glycans function in cellular processes across different organisms. The biosynthesis of glycans involves over 700 genes, with approximately 250 glycosyltransferases being particularly important for catalyzing glycan synthesis.
Current research directions include taking glycomics to the single-cell level, developing data science approaches to uncover glycosylation regulation patterns, and predicting protein glycosylation. His group has developed computational tools such as NetOGlyc4.0 and is working on next-generation predictors using language models, leveraging the Copenhagen Center for Glycomics' extensive repository of glycoproteomic data.
Dr. Joshi's research has significant implications for understanding fundamental biological processes, as glycans play crucial roles in protein folding, cellular communication, immune response, and disease mechanisms. His work has applications in viral pathogenesis (including Ebola virus), cancer, and other diseases where glycosylation plays a critical role.
- Research Highlights:
- First analysis of glycosylation capacity across human cell types
- Development of tools to predict glycosylation capacity from single-cell data
- Creation of computational models for protein glycosylation prediction
- Analysis of glycan roles in viral replication and pathogenesis
Dr. Joshi has published 52 research outputs including 37 journal articles, 7 reviews, 6 conference abstracts, and 2 book chapters, demonstrating his significant contributions to the field of computational glycomics.
