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Updated: Dec 18, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Application of mass spectrometry based proteomics to understand diabetes: A special focus on interactomics
Bhargab Kalita1, Shehnaz Bano2, Vijayakumar Maleppillil Vavachan1
1National Centre for Cell Science, Ganeshkhind, Pune 411007, MH, India.
Abstract:
Diabetes, a multifactorial disorder is characterized by elevated blood glucose levels resulting from changes in lifestyle, genetic and epigenetic changes or aberrations in proteome. In addition, alterations in post-translational modifications (PTMs) and protein-protein interactions (PPIs) also contribute to the development of diabetes pathogenesis. Recent advances in omics technologies have broadened the perspective for systematic investigation of proteome alterations in understanding the pathogenesis of diabetes. Further, PPIs are central to cellular signaling in all living organisms and deranged PPIs lead to diabetic complications. In this context, affinity purification mass spectrometry (AP-MS) along with diverse bioinformatic approaches has proven to be competent in mapping large-scale PPI networks around the critical players in the glucose homeostasis. In this review, we revisit the application of proteomic approaches in investigating proteome alterations and probing PPI networks for a better understanding of the underlying intricacies of the major signaling pathways in altered glucose homeostasis.
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