The investigation of neurodegenerative diseases advanced significantly with the advent of cell-reprogramming technology, leading to the creation of new models of human illness. These models, derived from induced pluripotent stem cells (iPSCs), facilitate the study of sporadic as well as hereditary diseases and provide a comprehensive understanding of the molecular mechanisms involved with neurodegeneration. Through proteomics, a quantitative tool capable of identifying thousands of proteins from small sample volumes, researchers have attempted to identify disease mechanisms by detecting differentially expressed proteins and proteoforms in disease models, biofluids, and postmortem brain tissue. The integration of these two technologies allows for the identification of novel pathological targets within the realm of neurodegenerative diseases. Here, we highlight studies from the past 5 years on the contributions of iPSCs within neuroproteomic investigations, which uncover the molecular mechanisms behind these illnesses.
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Cover Image
Cover Image
Gas vesicles are protein megacomplexes filled with gas to allow aquatic bacteria to control their vertical position in the water column. The cover image shows a detailed model of a complete gas vesicle. The model is deposited and made publicly available in a data repository (zenodo.org/record/6458345). Besides the striking geometry of the structure, the image also highlights the function of gas vesicles as buoyancy devices (filled with yellow gas) and the gas-permeability of the wall (with yellow gas molecules diffusing around). For more information, see the article by Huber and Jakobi (pp. 205–215) in this issue. Image provided by Arjen Jakobi.
Induced-pluripotent stem cells and neuroproteomics as tools for studying neurodegeneration
Caroline Brandão-Teles, Giuliana S. Zuccoli, Talita Aparecida de Moraes Vrechi, Lívia Ramos-da-Silva, Aline Valéria Sousa Santos, Fernanda Crunfli, Daniel Martins-de-Souza; Induced-pluripotent stem cells and neuroproteomics as tools for studying neurodegeneration. Biochem Soc Trans 28 February 2024; 52 (1): 163–176. doi: https://doi.org/10.1042/BST20230341
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