Publications of NIPGR Scientists

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    Validation of plant fusion peptides using proteomics data
    (Springer Nature Publishing AG, 2026) Hamid, Fiza; Aftab, Sahrish; Shree, Tanu; Kumar, Shailesh
    Fusion transcripts and their fused protein products are emerging as exciting entities in molecular biology, offering potential applications in diagnostics and therapeutics. These fusion proteins, derived from the translation of fusion transcripts, hold promise as unique biomarkers and targets for intervention. While numerous algorithms exist to identify fusion RNAs, the detection and validation of their protein counterparts through proteomics remains a growing area of research. This challenge is particularly intriguing in plant biology, where fusion events may affect stress responses, development, and adaptation. This chapter provides an accessible and practical workflow for validating plant fusion peptides using publicly available proteomics datasets.
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    Plant fungus interaction proteomics: An update
    (Springer, 2016) Narula, Kanika; Aggarwal, Pooja R.; Chakraborty, Niranjan; Chakraborty, Subhra
    Diversity of angiosperm is renowned and mechanism of perception and interaction with different environmental conditions is also variable. Patho-stress response in different plant families varies during the invasion of same or different fungal species. A major puzzle is how interaction and communication could increase fitness in plant at molecular level. Global proteome analysis of plant-pathosystem provides an invaluable resource for the identification of host as well as pathogen proteins involved in disease progression or immunity development. At protein level plant-fungal interaction upsurge the need to understand protein homeostasis and molecular adaptation of building blocks of cell to manifest natural selection for the host. Here, we examine the multilayered facets of interaction between organisms of two diverse kingdoms, namely plant and fungi at protein level based on more than 3000 identified host proteins till date.